Personal Information

Contact Information:62772565


Education Background

2005-2010 Ph.D., School of Earth Science, Zhejiang
2001-2005 B.Sc., School of Earth Science, Zhejiang

Work Experience

2017.01-Now Associate Professor, Department for Earth System Science, Tsinghua University
2015.04-2016.12 Associate Professor, Center for Earth System Science, Tsinghua University
2010.11-2015.03 Postdoc, Center for Earth System Science, Tsinghua University
2010.04-2010.10 Research Assistant, Department of Geography and Resource Management, the Chinese University of Hong Kong
2008.10-2009.09 Research Assistant, School of Earth and Environment Science, the University of Western Australia



《中国科学: 地球科学》年度热点论文

《Journal of Remote Sensing》优秀审稿人



222 Zhao, Q., Yu, L., Du, Z., Kanniah, K. 2024. Towards an annually updated oil palm age database (OPAD) with multimodal remote sensing features: design and preliminary result. Journal of Advanced Geospatial Science & Technology, 4(1): 16-42.

221 Liu, T., Yu, L., Chen, X., Li, X., Du, Z., Yan, Y., Peng, D., Gong, P. 2024. Utilizing nighttime light datasets to uncover the spatial patterns of county-level relative poverty-returning risk in China and its alleviating factors. Journal of Cleaner Production, 448: 141682.

220 Zhao, J., Yu, L., Newbold, T., Shen, X., Liu, X., Hua, F., Kanniah, K., Ma, K. 2024. Biodiversity responses to agricultural practices in cropland and natural habitats. Science of the Total Environment, 922: 171296.

219 Zhao, Q., Yu, L., Li, X., Xu, Y., Du, Z., Kanniah, K., Li, C., Cai, W., Lin, H., Peng, D., Zhang, Y., Gong, P. 2024. The expansion and remaining suitable areas of global oil palm plantations. Global Sustainability, 7: e9.

218 Wang, B., Zhao, H., Wang, X., Lyu, G., Chen, K., Xu, J., Cui, G., Zhong, L., Yu, L., Huang, H., Sheng, Q. 2024. Bamboo classification based on GEDI, time-series Sentinel-2 images and whale-optimized, dual-channel DenseNet: A case study in Zhejiang province, China. ISPRS Journal of Photogrammetry and Remote Sensing, 209: 312-323.

217 Chen, X., Yu, L., Hou, S., Liu, T., Li, X., Li, Y., Du, Z., Li, C., Wu, H., Gao, G., Wang, Y., Peng, D. 2024. Unraveling carbon stock dynamics and their determinants in China's Loess Plateau over the past 40 years. Ecological Indicators, 159: 111760.

216 Kang, X., Chen, W., Li, S., Wang, T., Yu, L., Singh, R. P. 2024. Spatiotemporal distribution of sudden oak death in the US and Europe. Agricultural and Forest Meteorology, 346: 109891.

215 Cui, Y., Dong, J., Li, Z., Zhang, C., Song, X. P., Yang, J., Yu, L., Chen, M., Liu, R. 2024. Decoding the inconsistency of six 10-and 30-m cropland maps in China. The Crop Journal, 12(1): 281-294.

214 Hua, F., Wang, W., Nakagawa, S., Liu, S., Miao, X., Yu, L., Du, Z., Abrahamczyk, S., Arias-Sosa, LA., Buda, K., Budka, M., Carrière, SM., Chandler, RB., Chiatante, G., Chiawo, DO., Cresswell, W., Echeverri, A., Goodale, E., Huang, G., Hulme, MF., Hutto, RL., Imboma, TS., Jarrett, C., Jiang, Z., Kati, VI., King, DI., Kmecl, P., Li, N., Lövei, GL., Macchi, L., MacGregor-Fors, I., Martin, EA., Mira, A., Morelli, F., Ortega-Álvarez, R., Quan, R., Salgueiro, PA., Santos, SM., Shahabuddin, G., Socolar, JB., Soh, MCK., Sreekar, R., Srinivasan, U., Wilcove, DS., Yamaura, Y., Zhou, L., Elsen, PR. 2024. Ecological filtering shapes the impacts of agricultural deforestation on biodiversity. Nature Ecology & Evolution, 1-16.

213 Du, Z., Yu, L., Chen, X., Gao, B., Yang, J., Fu, H., Gong, P. 2024. Land use/cover and land degradation across the Eurasian steppe: Dynamics, patterns and driving factors. Science of The Total Environment, 909: 168593.

212 Yin, J., Slater, L. J., Khouakhi, A., Yu, L., Liu, P., Li, F., Pokhrel, Y., Gentine, P. 2023. GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present. Earth System Science Data, 15(12): 5597–5615.

211 Zhang, S., Zhang, C., Cai, W., Bai, Y., Callaghan, M., Chang, N., Chen, B., Chen, H., Cheng, L., Dai, H., Dai, X., Fan, W., Fang, X., Gao, T., Geng, Y., Guan, D., Hu, Y., Hua, J., Huang, C., Huang, H., Huang, J., Huang, X., Ji, JS., Jiang, Q., Jiang, X., Kiesewetter, G., Li, T., Liang, L., Lin, B., Lin, H., Liu, H., Liu, Q., Liu, X., Liu, Zhao., Liu, Zhu., Liu, Y., Lu, B., Lu, C., Luo, Z., Ma, W., Mi, Z., Ren, C., Romanello, M., Shen, J., Su, J., Sun, Y., Sun, X., Tang, X., Walawender, M., Wang, C., Wang, Q., Wang, R., Warnecke, L., Wei, W., Wen, S., Xie, Y., Xiong, H., Xu, B., Yan, Y., Yang, X., Yao, F., Yu, L., Zhang, L., Zhang, R., Zhang, SC., Zhang, SH., Zhao, M., Zheng, D., Zhou, H., Zhou, J., Zhou, Z., Luo, Y., & Gong, P. 2023. The 2023 China report of the Lancet Countdown on health and climate change: taking stock for a thriving future. The Lancet Public Health, 8(12): e978-e995.

210 Du, Z., Yu, L., Li, X., Zhao, J., Chen, X., Xu, Y., Yang, P., Yang, J., Peng, D., Xue, Y., Gong, P. 2023. Integrating remote sensing temporal trajectory and survey statistics to update land use/land cover maps, International Journal of Digital Earth, 16(2): 4428-4445.

209 Zhang, K., Morovati, K., Tian, F., Yu, L., Bo, L., Olivares, A. 2023. Regional contributions of climate change and human activities to altered flow of the Lancang-mekong river, Journal of Hydrology: Regional Studies, 50:101535.

208 Lou, Z., Wang, F., Peng, D., Zhang, X., Xu, J., Zhu, X., Yu, L., Shi, Z., Liu, G., Xie, Q., Dou, C. 2023. Combining shape and crop models to detect soybean growth stages, Remote Sensing of Environment, 298: 113827.

207 Yu, H., Liu, D., Zhang, C., Yu, L., Yang, B., Qiao, S., Wang, X. 2023. Research on Spatial–Temporal Characteristics and Driving Factors of Urban Development Intensity for Pearl River Delta Region Based on Geodetector. Land, 12(9): 1673.

206 Ni, H., Yu, L., Gong, P., Li, X., Zhao, J. 2023. Urban renewal mapping: A case study in Beijing from 2000 to 2020. Journal of Remote Sensing, 3:0072

205 Li, C., Yu, L., Oloo, F., Chimimba, E.G., Kambombe, O., Asamoah, M., Opoku, P.D., Ogweno, V.W., Fawcett, D., Hong, J., Deng, X., Gong, P., Wright, J. 2023. Slum and urban deprivation in compacted and peri-urban neighborhoods in sub-Saharan Africa. Sustainable Cities and Society.

204 Li, X., Yu, L., Chen, X. 2023. New Insights into Urbanization Based on Global Mapping and Analysis of Human Settlements in the Rural–Urban Continuum. Land, 12(8), 1607.

203 Wu, H., Yu, L., Shen, X., Hua, F., Ma, K. 2023. Maximizing the effectiveness of protected areas for biodiversity conservation, climate refuge and carbon storage under climate change: A case study of Southwest China. Biological Conservation, 284: 110213.

202 Du, Z., Yu, L., Chen, X., Li, X., Peng, D., Zheng, S., Hao, P., Yang, J., Guo, H., Gong, P. An operational assessment framework for near real-time cropland dynamics: Toward sustainable cropland use in Mid-Spine Belt of Beautiful China. Journal of Remote Sensing, 3: 0065.

201 Hou, L., Liu, T., Wang, J., Chen, X., Du, Z., Yu, L. 2023. Land disturbance dynamics in mountains urban agglomeration and its driving forces: a case study of West Sichuan Urban Agglomeration, China. Ecological Indicators, 154:110569.

200 Xu, J., Liu, N., Polemiti, E., Mondragon, L.G., Tang, J., Liu, X., Lett, T., Yu, L., Noethen, M., Yu, C., Marquand, A., Schumann, G. 2023. Effects of urban living environments on mental health in adults. Nature Medicine, 29: 1456–1467.

199 Wang, R., Cai, W., Yu, L., Li, W., Zhu, L., Cao, B., Li, J., Shen, J., Zhang, S., Nie, Y., Wang, C. 2023. A high spatial resolution dataset of China’s biomass resource potential. Scientific Data, 10: 384.

198 Li, C., Kambombe, O., Chimimba, E.G., Fawcett, D., Brown, L.A., Yu, L., Gadedjisso-Tossou, A., Dash, J. 2023. Limited environmental and yield benefits of intercropping practices: evidence from smallholder farming in Malawi. Field Crops Research, 299: 108974.

197 Bickerstaff, K., Davill, C., Parsons, L., Yu, L. 2023. Geography and environment: A time of change, Geo: Geography and Environment, 10(1): e00123.

196 Barnieh, B.A., Jia, L., Menenti, M., Yu, L., Nyantakyi, E.K., Kabo-Bah, A.T., Jiang, M., Zhou, J., Lv, Y., Zeng, Y., Bennour, A. 2023. Spatiotemporal Patterns in Land Use/Land Cover Observed by Fusion of Multi-Source Fine-Resolution Data in West Africa, Land, 12(5): 1032.

195 Xiao, Y., Zhou, J., Cheng, Q., Yang, J., Chen, B., Zhang, T., Xu, L., Xu, B., Ren, Z., Liu, Z., Shen, C., Wang, C., Liu, H., Li, X., Li, R., Yu, L., Guan, D., Zhang, W., Wang, J., Hou, L., Deng, D., Bai, Y., Xu, B., Dou, D., Gong, P. 2023. Global age-structured spatial modeling for emerging infectious diseases like COVID-19, PNAS Nexus, 2(5): 127.

194 Du, Z., Yu, L., Yang, J., Coomes, D., Kanniah, K., Fu, H., Gong, P. 2023. Mapping annual global forest gain from 1983 to 2021 with Landsat imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16: 4195-4204.

193 Tu, Y., Chen, B., Yu, L., Song, Y., Wu, S., Li, M., Wei, H., Chen, T., Liang, W., Gong, P., Xu, B. 2023. Raveling the nexus between urban expansion and cropland loss in China, Landscape Ecology, 38(7): 1869-1884.

192 Pan, Y., Peng, D., Chen, J., Myneni, R., Zhang, X., Huete, A., Fu, Y., Zheng, S., Yan, K., Yu, L., Zhu, P., Shen, M., Ju, W., Zhu, W., Xie, Q., Huang, W., Chen, Z., Huang, J., Wu, C. 2023. Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes, Environmental Research Letters, 1746-9326.

191 Liu, M., Han, T., Yue, W., Cheng, J., Zhang, L., Zhang, B., Zuo, X., Zhu, W., Qiu, S., Geng, Z., Zhang, X., Cui, G., Zhang, Q., Yu, Y., Zhang, H., Gao, B., Xu, X., Yao, Z., Qin, Q., Liang, M., Liu, F., Guo, L., Xu, Q., Fu, J., Xu, J., Tang, J., Liu, N., Xue, K., Zhang, P., Li, W., Shi, D., Wang, C., Gao, J., Liu, S., Yan, Z., Chen, F., Li, J., Zhang, J., Shen, W., Miao, Y., Xian, J., Yu, L., Xu, K., Wang, M., Ye, Z., Liao, W., Wang, D., Yu, C. 2023. The impact of pre-adulthood urbanicity on hippocampal subfield volumes and neurocognitive abilities in young adults, Environment International, 174: 107905.

190 Zheng, J., Yuan, S., Wu, W., Li, W., Yu, L., Fu, H., Commes, D. 2023. Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean, Remote Sensing of Environment, 287: 113485.

189 Ren, F., Lu, W., Wang, B., Yang, K., Yu, L., Gan, W., Zhao, T. 2023. Assessment of SMAP and AMSR2 freeze/thaw products in Russia using in situ measurements. Remote Sensing Letters, 14(2): 176-185.

188 Yao, Z., Zhao, Y., Wang, H., Li, H., Yuan, X., Ren, T., Yu, L., Liu, Z., Zhang, X., Li, S. 2023. Comparison and Assessment of Data Sources with Different Spatial and Temporal Resolution for Efficiency Orchard Mapping: Case Studies in Five Grape-Growing Regions, Remote Sensing, 15(3): 655.

187 Feng, X., Tan, S., Dong, Y., Zhang, X., Zhong, L., Yu, L. 2023. Mapping large-scale bamboo forest based on phenology and morphology features. Remote Sensing, 15(2): 515.

186 Liu, J., Peng, L., Yu, L., Liu, X., Yao, Y., Zhang, Q. 2023. Reduced rural residential emissions in the Northern China Plain from 2015 to 2021. Science of The Total Environment, 865: 161235.

185 Wu, H., Fang, S., Yu, L., Hu, S., Chen, X., Can, Y., Du, Z., Shen, X., Liu, X., Ma, K. 2023. Limited co-benefits of protected area in Southwest China under current climate change and human modification. Journal of Environment Management, 330: 117190.

184 Zhao, J., Chen, G., Yu, L., Ren, C., Gong, P. 2023. Mapping urban morphology changes in the last two decades based on local climate zone scheme: A case study of three major urban agglomerations in China. Urban Climate, 47: 101391.

183 Liu, T., Yu, L., Chen, X., Wu, H., Lin, H., Li, C., Hou, J.2023. Environmental laws and ecological restoration projects enhancing ecosystem services in China: A meta-analysis. Journal of Environmental Management, 327:116810

182 Chen, X., Yu, L., Cao, Y., Xu, Y., Zhao, Z., Zhuang, Y., Liu, X., Du, Z., Liu, T., Yang, B., He, L., Wu, H., Yang, R., Gong, P. 2023. Habitat quality dynamics in China’s first group of national parks in recent four decades: evidences from land use and land cover changes. Journal of Environmental Management, 325: 116505.

181 Huo, S., Ma, C., Li, W., He, Z., Zhang, H., Yu, L., Liu, Y., Cao, X., Wu, F. 2023. Spatiotemporal differences in riverine nitrogen and phosphorus fluxes and associated drivers across China from 1980 to 2018. Chemosphere, 310: 136827.

180 Liao, Y-A., Garcia-Mondragon, L., Konac, D., Liu, X., Ing, A., Goldblatt, R., Yu, L., Barker, E.D. 2023. Nighttime lights, urban features, house hold poverty, depression symptoms and obesity. Current Psychology, 42:15453–15464.

179 Yu, L., Cao, Y., Cheng, Y., Zhao, Q., Xu, Y., Kanniah, K., Lu, H., Yang, R., Gong, P. 2023. A study of the serious conflicts between oil palm expansion and biodiversity conservation using high-resolution remote sensing. Remote Sensing Letters, 14(6): 654-668.

178 Zhang, B., Xiong, W., Ma, M., Wang, D., Huang, X., Yu, L., Zhang, Q., Lu, H., Hong, D., Yu, F., Wang, Z., Wang, J., Li, X., Gong, P., Huang, X. 2022. Super-resolution reconstruction of a 3 arc-second DEM dataset. Science Bulletin, 67(24): 2526-2530.

177 Cheng, E., Zhang, B., Peng, D., Zhong, L., Yu, L., Li, C., Dong, T., Ye., H., Wang, H., Yu, R., Hu, J., Yang, S. Wheat yield estimation using remote sensing data based on machine learning approaches. Frontiers in Plant Science,13:1090970.

176 Li, X., Chen, G., Zhang, Y., Yu, L., Du, Z., Hu, G., Liu, X. 2022.The impacts of spatial resolutions on global urban-related change analyses and modelling. iScience, 25(12): 105660.

175 Chen, X., Yu, L., Du, Z., Liu, Z., Qi, Y., Liu, T., Gong, P. 2022. Toward sustainable lan use in China: A perspective on China’s national land surveys. Land Use Policy, 123: 106428.

174 Wang, R., Li, H., Cai, W., Cui, X., Zhang, S., Li, J., Weng, Y., Song, X., Cao, B., Zhu, L., Yu, L., Li, W., Huang, L., Qi, B., Ma, W., Bian, J., Zhang, J., Nie, Y., Fu, J., Zhang, J., Wang, C. 2022. Alternative pathway to phase down coal power and achieve negative emission in China. Environmental Science & Technology, 56(22): 16082–16093.

173 Cai, W., Zhang, C., Zhang, S., Bai, Y., Callaghan, M., Chang, N., Chen, B., Chen, H., Cheng, L., Cui, X., Dai, H., Danna, B., Dong, W., Fan, W., Fang, X., Gao, T., Geng, Y., Guan, D., Hu, Y., Hua, J., Huang, C., Huang, H., Huang, J., Jiang, L., Jiang, Q., Jiang, X., Jin, H., Kiesewetter, G., Liang, L., Lin, B., Lin, Hl., Liu, H., Liu, Q., Liu, T., Liu, X.B., Liu, X.Y., Liu, Z., Liu., Lou, S., Lu, C., Luo, Z., Meng, W., Miao, H., Ren, C., Romanello, M., Schöpp, W., Su, J., Tang, X., Wang, C., Wang, Q., Warnecke, L., Wen, W., Winiwarter, W., Xie, Y., Xu, B., Yan, Y., Yang, X., Yao, F., Yu, L., Yuan, J., Zeng, Y., Zhang, J., Zhang, L., Zhang, R., Zhang, S., Zhang, S., Zhao, Q., Zheng, D., Zhou, H., Zhou, J., Chan Fung, M. F., Luo, Y., Gong, P. 2022. The 2022 China report of the Lancet Countdown on health and climate change: leveraging climate actions for healthy ageing. The Lance Public Health, 7: e1073–90.

172 Cao, Y., Tseng, T., Wang, F., Jacobson, A., Yu, L., Zhao, J., Carver, S., Locke, H., Zhao, Z., Yang, R. 2022. Potential wilderness loss could undermine the post-2020 global biodiversity framework. Biological Conservation, 272: 109753.

171 Xia, L., Zhao, F., Chen, J., Yu, L., Lu, M., Yu, Q., Liang, S., Fan, L., Sun, X., Wu, S., Wu, W., Yang, P. A full resolution deep learning network for paddy rice mapping using Landsat data. ISPRS Journal of Photogrammetry and Remote Sensing, 194: 91-107.

170 Shao, Y., Li, M., Luo, J., Yu, L., Li, X. 2022. Spatiotemporally comparative analysis of three common infectious diseases in China during 2013-2015. BMC Infectious Diseases, 22: 781.

169 Zhu, P., Burney, J. Chang, J., Jin, Z., Mueller, N.D., Xin, Q., Yu, L., Makowski, D., Ciais, P. 2022. Warming reduces global agricultural production by decreasing cropping frequency and yields. Nature Climate Change, 12: 1016–1023.

168 Zheng, S., Pan, Y., Yu, L., Liu, S., Peng, D. 2022. Possible future movement of the Hu line based on IPCC CMIP6 scenarios. Environmental Research Communications, 4: 095008.

167 Zou, Y., Chen, W., Li, S., Wang, T., Yu, L., Xu, M., Singh, R.P., Liu, C. 2022. Spatio-Temporal Changes in Vegetation in the Last Two Decades (2001–2020) in the Beijing–Tianjin–Hebei Region. Remote Sensing, 14(16), 3958.

166 Zhang, B., Ma, M., Wang, M., Hong, D., Yu, L., Wang, J., Gong, P., Huang, X. 2022. Enhanced resolution of FY4 remote sensing visible spectrum images utilizing super-resolution and transfer learning techniques. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 7391-7399.

165 Cao, Y., Wang, F., Tseng, T-H., Carver, S., Chen, X., Zhao, J., Yu, L., Li, F., Zhao, Z., Yang, R. 2022. Identifying ecosystem service value and potential loss of wilderness areas in China to support post-2020 global biodiversity conservation. Science of The Total Environment, 846:157348.

164 Yu, L., Du, Z., Dong, R., Zheng, J., Tu, Y., Chen, X., Hao, P., Zhong, B., Zhao, J., Li, X., Yang, J., Fu, H., Yang, G., Gong, P. 2022. FROM-GLC Plus: Towards near real-time and multi-resolution land cover mapping, GIScience & Remote Sensing, 59 (1): 1026-1047.

163 Liu, T., Li, Z., Yu, L., Chen, X., Cao, B., Li, X., Du, Z., Peng, D., Lan, S. 2022. Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets. Environmental Research Communications, 4(6): 065002.

162 Pan, Y., Wang, Y., Zheng, S., Huete, A.R., Shen, M., Zhang, X., Huang, J., He, G., Yu, L., Xu, X., Xie, Q., Peng, D. 2022. Characteristics of Greening along Altitudinal Gradients on the Qinghai–Tibet Plateau Based on Time-Series Landsat Images. Remote Sensing, 14(10), 2408.

161 Liu, S., Wang, Y., Wei, L., Wang, B., Yu, L. 2022. Contrasting influences of biogeophysical and biogeochemical impacts of historical land use on global economic inequality, Nature Communications, 13, 2479.

160 Xu, Y., Yu, L., Ciais, P., Li, W., Santoro, M., Yang, H., Gong, P. 2022. Recent expansion of oil palm plantations into carbon-rich forests. Nature Sustainability, 5: 574-577.

159 Zhao, Q., Yu, L., Du, Z., Peng, D., Hao, P., Zhang, Y., Gong, P. 2022. An overview of the applications of Earth observation satellite data: impacts and future trends. Remote Sensing, 14(8): 1864.

158 Lou, Z., Peng, D., Zhang, X., Yu, L., Wang, F., Pan, Y., Zheng, S., Hu, J., Yang, S., Chen, Y., Liu, S. 2022. Soybean EOS spatiotemporal characteristics and their climate drivers in global major regions. Remote Sensing, 14(8): 1867.

157 Yuan, X., Yu, L., Wu, H., She, H., Luo, J., Li, X. 2022. Sustainable Development Goals (SDGs) Priorities of Senior High School Students and Global Public: Recommendations for Implementing Education for Sustainable Development (ESD). Education Research International, 2555168.

156 Shangguan, Y., Li, X., Lin, Y., Deng, J., Yu, L. 2022. Mapping spatial-temporal nationwide soybean planting area in Argentina using Google Earth Engine. International Journal of Remote Sensing, 43(5): 1724-1748.

155 Du, Z., Yu, L., Yang, J., Xu, Y., Chen, B., Peng, S., Zhang, T., Fu, H., Harris, N., Gong, P. 2022. A global map of planting years of plantations. Scientific Data, 9(141).

154 Chen, X., Yu, L., Du, Z., Xu, Y., Zhao, J., Zhao, H., Zhang, G., Peng, D., Gong, P. 2022. Distribution of ecological restoration projects associated with land use and land cover change in China and their ecological impacts. Science of The Total Environment, 153938.

153 Liu, S., Peng, D., Zhang, B., Chen, Z., Yu, L., Chen, J., Pan, Y., Zheng, S., Hu, J., Lou, Z., Yang, S. 2022. The accuracy of winter wheat identification at different growth stages using remote sensing. Remote Sensing,14, 893.

152 Zhao, J., Cao, Y., Yu, L., Liu, X., Yang, R., Gong, P. 2022. Future global conflict risk hotspots between biodiversity conservation and food security: 10 countries and 7 Biodiversity Hotspots. Global Ecology and Conservation, e02036.

151 Zhang, J., Li, X., Zhang, C., Yu, L., Wang, J., Wu, X., Hu, Z., Zhao, Z., Li, Q., Wu, G., Shi, T. 2022. Assessing spatialtemporal variations and predicting changes in ecosystem service values in the Guangdong-Hong Kong-Macau Greater Bay Area. GIScience & Remote Sensing, 59(1): 184-199.

150 Nie, Y., Cai, W., Li, J., Wang, C., Huang, G., Fu, J., Chang, S., Li, H., Ma, S., Yu, L., Cai, X. 2022. A fine-resolution estimation of the biomass resource potential across China from 2020 to 2100. Resources, Conservation and Recycling, 176: 105944.

149 Zhang, Y., Yin, P., Li, X., Niu, Q., Wang, Y., Cao, W., Huang, J., Chen, H., Yao, X., Yu, L., Li, B. 2022. The divergent response of vegetation phenology to urbanization: A case study of Beijing city, China. Science of The Total Environment, 803: 150079.

148 Tan, S., Zhang, X., Wang, H., Yu, L., Du, Y., Yin, J., Wu, B. 2022. A CNN-based self-supervised synthetic aperture radar image denoising approach. IEEE Transactions on Geoscience and Remote Sensing, 60:5213615.

147 Zhao, J., Cao, Y., Yu, L. 2021 Global change of land sparing and land sharing pattern over the past 30 years: evidences from remote sensing and statistics. Remote Sensing, 13(24): 5090.

146 Zheng, S., Zhang, B., Peng, D., Yu, L., Lin, B., Pan, Y., Xie, Q. 2021. The trend towards a warmer and wetter climate observed in arid and semi-arid areas of northwest China from 1959 to 2019. Environmental Research Communications, 3(11): 115011.

145 Cao, B., Yu, L., Li, X., Chen, M., Hao, P., Li, X., Gong, P. The 1 km global cropland dataset from 10000 BCE to 2100 CE. Earth System Science Data, 13(11): 5403-5421.

144 Cai, W., Zhang, C., Zhang, S., Ai, S., Bai, Y., Bao, J., Chen, B., Chang, N., Chen, H., Cheng, L., Cui, X., Dai, H., Danna, B., Di, Q., Dong, W., Dong, W., Dou, D., Fan, W., Fan, X., Fang, X., Gao, Y., Gao, T., Geng, Y., Guan, D., Guo, Y., Hu, Y., Hua, J., Huang, C., Huang, H., Huang, J., Hamilton, I., Jiang, Q., Jiang, X., Ke, P., Kiesewetter, G., Lampard, P., Li, C., Li, R., Li, S., Liang, L., Lin, B., Lin, H., Liu, H., Liu, Q., Liu, X., Liu, Y., Liu, Z., Liu, Z., Liu, X., Lou, S., Lu, C., Luo, Y., Luo, Z., Ma, W., McGushin, A., Niu, Y., Ren, C., Ruan, Z., Schöpp, W., Shan, Y., Su, J., Sun, T., Wang, Q., Wang, C., Wen, S., Xie, Y., Xiong, H., Xu, B., Xu, M., Yan, Y., Yang, J., Yang, L., Yang, X., Yu, L., Yue, Y., Zeng, Y., Zhang, Y., Zhang, S., Zhang, Z., Zhang, J., Zhao, L., Zhao, Q., Zhao, Z., Zhao, J., Zhao, M., Zhou, J., Zhu, Z., Fu-Chun, M.C.F., & Gong, P. 2021. The Lancet Public Health, 6(12): e932-e947.

143 Xu, J., Liu, X., Li, Q., Goldblatt, R., Qin, W., Liu, F., Chu, C., Luo, Q., Ing, A., Guo, L., Liu, N., Liu, H., Huang, C., Cheng, J., Wang, M., Geng, Z., Zhu, W., Zhang, B., Liao, W., Qiu, S., Zhang, H., Xu, X., Yu, Y., Gao, B., Han, T., Cui, G., Chen, F., Xian, J., Li, J., Zhang, J., Zuo, X.-N., Wang, D., Shen, W., Miao, Y., Yuan, F., Lui, S., Zhang, X., Xu, K., Zhang, L., Ye, Z., Banaschewski, T., Barker, G.J., Bokde, A.L.W., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Brühl, R., Martinot, J.-L., Artiges, E., Nees, F., Orfanos, D.P., Lemaitre, H., Paus, T., Poustka, L., Robinson, L., Hohmann, S., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Winterer, J., Patrick, K., Calhoun, V., Li, M.J., Liang, M., Gong, P., Barker, E.D., Clinton, N., Marquand, A., Yu, L., Yu, C., Schumann, G., the, C., & Consortia, I. 2021. Global urbanicity is associated with brain and behaviour in young people. Nature Human Behavior, 6: 279-293.

142 Zheng, Q., Chen, W., Li, S., Yu, L., Zhang, X., Liu, L., Singh, R., Liu, C. 2021. Accuracy comparison and driving factor analysis of LULC changes using multi-source time-series remote sensing data in a coastal area. Ecological Informatics, 66: 101457.

141 Liu, X., Zheng, J., Yu, L., Hao, P., Chen, B., Xin, Q., Fu, H., Gong, P. 2021. Annual dynamic dataset of global cropping intensity from 2001 to 2019. Scientific Data, 8: 443.

140 Chen, X., Zhang, G., Jin, Y., Mao, S., Laakso, K., Sanchez-Azofeifa, G.A., Jiang, L., Zou, Y., Zhao, H., Yu, L., Jiang, R., Pan, Z., An, P. 2021. Evaluating the farmland use intensity and its patterns in a farming-pastoral ecotone of northern China. Remote Sensing, 13(21), 4304

139 Liu, X., Yu, L., Cai, W., Ding, Q., Hu, W., Peng, D., Li, W., Zhou, Z., Huang, X., Yu, C., Gong, P. 2021. The land footprint of global food trade: perspectives from a case study of soybeans. Land Use Policy, 10764.

138 Zhao, Q., Yu, L., Li, X., Peng, D., Zhang, Y., Gong, P. 2021. Progress and Trends in the Application of Google Earth and Google Earth Engine. Remote Sensing, 13(8): 3778.

137 Xu, D., Yang, F., Yu, L., Zhou, Y., Li, H., Ma, J., Huang, J., Wei, J., Xu, Y., Zhang, C., Cheng, J. 2021. Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data. Journal of Cleaner Production, 321: 128948.

136 Yuan, X., Yu, L., Wu, H., Luo, J., She, H. 2021. A Questionnaire Survey about the Awareness of Sustainable Development Goals among Chinese Senior High School Students: a case study from a school in Beijing, China. Education Sciences, 11(9): 458.

135 Peng, Q., Yang, R., Cao, Y., Wang, F., Hou, S., Tseng, T-H., Wang, X., Wang, P., Zhao, Z., Yu, L., Locker, H. 2021. One-third of lands face high conflict risk between biodiversity conservation and human activities in China. Journal of Environmental Management, 299: 113449.

134 Li, X., Yu, L., Peng, D., Gong, P. 2021. A large-scale, long time-series (1984‒2020) of soybean mapping with phenological features: Heilongjiang Province as a test case. International Journal of Remote Sensing, 42(19): 7332-7356.

133 Zhao, J.Y., Yu, L., Liu, H., Huang, H., Wang, J., Gong, P. Towards an open and synergetic framework for mapping global land cover, PeerJ, 9:e11877.

132 Xu, Y., Ciais, P., Yu, L., Li, W., Chen, X., Zhang, H., Yue, C., Kanniah, K., Cracknell, A. P., Gong, P. 2021. Oil palm modelling in the global land-surface model ORCHIDEE-MICT, Geoscientific Model Development, 14: 4573-4592.

131 Zhao, Z., Li, W., Ciais, P., Santoro, M., Cartus, O., Pang, S., Yin, Y., Yue, C., Yang, H., Yu, L., Zhu, L., Wang, J. 2021. Fire enhances forest degradation within forest edge zones in Africa. Nature Geosciences, 14: 479-483.

130 Zhao, J.Q., Cao, Y., Yu, L., Liu, X., Shi, Y., Liu, X., Yang, R., Gong, P. Identifying Potential Cropland Losses When Conserving 30% and 50% Earth with Different Approaches and Spatial Scales. Land, 10(7): 704

129 Cao, B., Yu, L., Naipal, V., Ciais, P., Li, W., Zhao, Y., Wei, W., Chen, D., Liu, Z., Gong, P.2021. A 30-meter terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine, Earth System Science Data, 13(5): 2437-2456.

128 Huang, C., Yang, J., Clinton, C., Yu, L., Huang, H., Dronova, I., Jin, J. 2021. Mapping the maximum extent of urban green spaces in 1039 cities using dense satellite images. Environmental Research Letters, 16(4): 064072.

127 Zheng, J., Wu, W., Yuan, S., Fu, H., Li, W., Yu, L. 2021. Multisource Domain Generalization-Based Oil Palm Tree Detection Using Very-High-Resolution (VHR) Satellite Images, IEEE Geoscience and Remote Sensing Letters. 10.1109/LGRS.2021.3061726

126 Hu, X., He, Y., Kong, Z., Zhang, J., Yuan, M., Yu, L., Peng, C., Zhu, Q. 2021. Evaluation of future impacts of climate change, CO2 and land use cover change on global net primary productivity using a processed model. Land, 10(4): 365.

125 Liu, S., Liu, X., Yu, L., Wang, Y., Zhang, G.J., Gong, P., Huang, W., Wang, B., Yang, M. 2021. Climate response to introduction of the ESA CCI land cover data to the NCAR CESM. Climate Dynamics, 56: 4109–4127.

124 Shi, P., Lu, H., Leung, L.R., He, Y., Wang, B., Yang, K., Yu, L., Liu, L., Huang, W., Xu, S., Liu, J., Huang, X., Li, L., Lin, Y. 2021. Significant Land Contributions to Interannual Predictability of East Asian Summer Monsoon Rainfall. Earth’s Future, 9: e2020EF001762.

123 Zheng, J., Fu, H., Li, W., Wu, W., Yu, L., Yuan, S., Tao, W.Y.W., Pang, T.K., Kanniah, K.D. 2021. Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images. ISPRS Journal of Photogrammetry and Remote Sensing, 173: 95-121.

122 Cai, W., …, Yu, L., et al. 2021. The 2020 Chinese Report of The Lancet Countdown on Health and Climate Change. The Lancet Public Health, 6(1): E64-E81.

121 Peng, D., Wang, Y., Xian, G., Heute, A.R., Huang, W., Shen, M., Wang, F., Yu, L., Liu, L., Xie, Q., Liu, L., Zhang, X. 2021. Investigation of Land Surface Phenology Detections in Shrublands using Multiple Scale Satellite Data. Remote Sensing of Environment, 252: 112133.

120 Tu, Y., Chen, B., Yu, L., Xin, Q., Gong, P., Xu, B. 2021. How does urban expansion interact with cropland loss? A comparable study of 14 Chinese cities from 1980 to 2015. Landscape Ecology, 36: 243-263.

119 Wang, Y., Peng, D., Yu, L., Zhang, Y., Yin, J., Zhou, L., Zheng, S., Wang, F., Li, C. 2020. Monitoring crop growth during the period of the rapid spread for COVID-19 in China by remote sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13: 6195-6205.

118 Tu, Y., Lang, W., Yu, L., Li, Y., Jiang, J., Qin, Y., Cheng, T., Li, X., Xu, B. 2020. Improved mapping results of 10 m resolution land cover classification in Guangdong, China using multi-source remote sensing data with Google Earth Engine Platform. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13: 5384-5397.

117 Wang, Y., Peng, D., Shen, M., Xu, X., Huang, W., Yu, L., Liu, L., Li, C., Li, X., Zhang, S., Zhang, H. 2020. Elevationally contrasting effects of temperature and precipitation on vegetation greenness across the Tibetan Plateau. Remote Sensing, 12(17): 2751.

116 Si, Y., Wei, J., Wu, W., Zhang, W., Yu, L., Wielstra, B. 2020.Reducing human pressure on farmland could rescue China’s declining wintering geese. Movement Ecology, 8:35.

115 Zhang, J., Yu, L., Li, X., Zhang, C., Shi, T., Wu, X., Yang, C., Wu, G., Li, Q. 2020. Exploring the urban expansion in Guangdong-Hong Kong-Macau Greater Bay Area: Spatiotemporal features and driving forces. Remote Sensing, 12(16): 2615.

114 Yang, R., Cao, Y., Hou, S., Peng, Q., Wang, X., Wang, F., Tz-Hsuan, T., Yu, L., Carver, S., Convery, I., Zhao, Z., Shen, X., Li, S., Zheng, Y., Liu, H., Gong, P., Ma, K. 2020. Cost-effective priorities for the expansion of global terrestrial protected areas: post-2020 global and national targets. Science Advances, 6(37): eabc3436.

113 Liu, X., Yu, L., Dong, Q., Peng, D., Wu, W., Yu, Q., Cheng, Y., Xu, Y., Huang, X., Zhou, Z., Wang, D., Fang, L., Gong, P. 2020. Cropland heterogeneity changes on the Northeast China Plain in the last three decades (1980s–2010s). PeerJ, 8: e9835.

112 Najib, N., Kanniah, K., Cracknell, A., Yu, L. 2020. Synergy of active and passive remote sensing data for effective mapping of oil palm plantation in Malaysia. Forests, 11(8): 858.

111 Zheng, J., Li, W., Wu, W., Zhao, Y., Dong, R., Yu, L., Fu, H. 2020. Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network. ISPRS Journal of Photogrammetry and Remote Sensing, 167: 154-177.

110 Zhao, J., Yu, L., Xu, Y., Li, X., Zhou, Y., Peng, D., Liu, H., Huang, X., Zhou, Z., Wang, D., Ren, C., Gong, P. 2020. Exploring differences in land surface temperature between the city centers and urban expansion areas of China’s major cities. International Journal of Remote Sensing, 41(23): 8963-8983.

109 Li, X., Gong, P., Zhou, Y., Wang, J., Bai, Y., Chen, B., Hu, T., Xiao, Y., Xu, B., Yang, J., Liu, X., Cai, W., Huang, H., Wu, T., Wang, X., Lin, P., Li, X., Chen, J., He, C., Li, X., Yu, L., Clinton, N., Zhu, Z. 2020. Mapping global urban boundaries from the global artificial impervious area (GAIA) data. Environmental Research Letters, 15(9): 094044.

108 Dong, R., Li, C., Fu, H., Wang, J., Li, W., Yao, Y., Gan, L., Yu, L., Gong. P. 2020. Improving 3-m resolution land cover mapping through efficient learning from imperfect 10-m resolution map. Remote Sensing, 12(9):1418.

107 Xu, Y., Yu, L., Peng, D., Zhao, J., Cheng, Y., Liu, X., Li, W., Meng, R., Xu, X., Gong, P. 2020. Annual 30 m land use/land cover of China for 1980-2015 from the integration of AVHRR, MODIS and Landsat using the BFAST. Science China Earth Sciences, 63: 1390-1407.

106 Xu, Y., Yu, L., Li, W., Ciais, P., Cheng, Y., Gong, P. 2020. Annual oil palm plantation maps in Malaysia and Indonesia from 2001 to 2016. Earth System Science Data, 12: 847-867.

105 Reddy, K.R.O., Zhang, X., Bi, L., Zhao, J., Yu, L., Kotalo, R.G. 2020. Carbonaceous aerosol emission reduction over Shandong province and the impact of pollution control as observed from synthetic satellite data. Atmospheric Research, 222: 117150.

104 Li, W., Dong, R., Fu, H., Wang, J., Yu, L., Gong, P. 2020. Integrating Google Earth imagery with Landsat data to improve 30-m resolution land cover mapping. Remote Sensing of Environment, 237, 111563.

103 Ni, S., Huang, X., Gan, W., Zorn, C., Xiao, Y., Huang, G., Yu, C., Cao, J., Zhang, J., Feng, Z., Yu, L., Lin, G., Silvennoinen, H. 2020. Coupled modelling and sampling approaches to assess the impacts of human water management on land-sea carbon transfer. Science of the Total Environment, 701: 124735.

102 Nie, Y., Chang, S., Cai, W., Wang, C., Fu, J., Hui, J., Yu, L., Zhu, W., Huang, G., Kumar, A., Guo, W., Ding, Q. 2020. Spatial distribution of usable biomass feedstock and technical bioenergy potential in China. Global Change Biology – Bioenergy, 12: 54-70.

101 Dong, R., Li, W., Fu, H., Gan, L., Yu, L., Zheng, J., Xia, M. 2020. Oil palm plantation mapping from high-resolution remote sensing images using deep learning. International Journal of Remote Sensing, 41(5): 2022-2046.

100 Liu, X., Pei, F., Wen, Y., Li, X., Wang, S., Wu, C., Cai, Y., Wu, J., Chen, J., Feng, K., Liu, J., Hubacek, K., Davis, S., Yuan, W., Yu, L., Liu, Z. 2019. Global urban expansion offsets climate-driven increases in terrestrial net primary productivity. Nature Communications, 10, 5558.

99 Peng, D., Zhang, H., Liu, L., Huang, W., Huete, A.R., Zhang, X., Wang, F., Yu, L., Wang, C., Luo, S., Xu, F., Li, C., Yan, K., Zhang, B. 2019. Estimating the aboveground biomass for planted forest based on stand age and environmental variables. Remote Sensing,11(19): 2270.

98 Jiang, L., Yu, L. 2019. Analyzing land use intensity changes within and outside protected areas using ESA CCI-LC datasets. Global Ecology and Conservation, 20: e00789.

97 Hao, P., Tang, H., Chen, Z., Yu, L., Wu, M. 2019. High resolution crop intensity mapping using harmonized Landsat-8 and Sentinel-2 data. Journal of Integrative Agriculture, 18(12): 2883-2897.

96 Kanniah, K., Cracknell, A., Yu, L. 2019. Preface, International Journal of Remote Sensing. 40(19): 7287-7296.

95 Zeng, T., Wang, L., Zhang, Z., Wen, Q., Wang, X., Yu, L. 2019. An Integrated Land Cover Mapping Method Suitable for Low-Accuracy Areas in Global Land Cover Maps. Remote Sensing, 11(15): 1777.

94 Xu, Y., Yu, L., Cai, Z., Zhao, J., Peng, D., Li, C., Lu, H., Yu, C., Gong, P. 2019. Exploring intra-annual variation in cropland classification accuracy using monthly, seasonal and yearly sample set. International Journal of Remote Sensing, 40(23): 8748-8763.

93 Li, W., He, C., Fu, H., Zheng, J., Dong, R., Xia, M., Yu, L., Luk, W. 2019. A real-time tree crown detection approach for large-scale remote sensing images on FPGAs. Remote Sensing, 11(9): 1025.

92 Zhao, Y., Feng, D., Yu, L., Cheng, Y., Zhang, M., Liu, X., Xu, Y., Fang, L., Zhu, Z., Gong, P. 2019. Long-term land cover dynamics (1986-2016) of Northeast China derived from multi-temporal Landsat archive. Remote Sensing, 11(5): 599.

91 Gong, P., Liu, H., Zhang, M., Li, C., Wang, J., Huang, H., Clinton, N., Ji, L., Li, W., Bai, Y., Chen, B., Xu, B., Zhu, Z., Yuan, C., Sun, K., Guo, J., Xu, N., Li, W., Zhao, Y., Yang, J., Yu, C., Wang, X., Fu, H., Yu, L., Dronova, I., Hui, F., Cheng, X., Shi, X., Xiao, F., Liu, Q., Song, L. 2019. Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. Science Bulletin, 64(6): 370-373.

90 Xu, Y., Yu, L., Feng, D., Peng, D., Li, C., Huang, X., Lu, H., Gong, P. Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30. International Journal of Remote Sensing, 40(16): 6185-6202.

89 Li, W., He, C., Fang, J., Zheng, J., Fu, H., Yu, L. 2019. Semantic segmentation-based building footprint extraction using high-resolution satellite images and multi-source GIS data. Remote Sensing, 11(4): 403.

88 Yan, D., Li, C., Cong, N., Yu, L., Gong, P. 2019. A structured approach to the analysis of remote sensing images. International Journal of Remote Sensing, 40(20): 7874-7897.

87 Cheng, Y., Yu L., Xu, Y., Lu, H., Cracknell, A.P., Kanniah, K., Gong, P. 2019. Mapping oil palm plantation expansion in Malaysia over the past decade (2007–2016) using ALOS-1/2 PALSAR-1/2 data. International Journal of Remote Sensing, 40(19): 7389-7408.

86 Yu, C., Huang, X., Chen, H., Godfray, C., Wright, J., Hall, J., Gong, P., Ni, S., Qiao, S., Huang, G., Xiao, Y., Zhang, J., Feng, Z., Ju, X., Ciais, P., Stenseth, N.C., Hessen, D.O., Sun, Z., Yu, L., Cai, W., Fu, H., Huang, X., Liu, H., Taylor, J. 2019. Managing nitrogen to restore water quality in China. Nature, 567(7749): 516-520.

85 Zhao, J., Yu, L., Xu, Y., Ren, H., Huang, X. Gong, P. 2019. Exploring the addition of Landsat 8 thermal bands in land cover mapping. International Journal of Remote Sensing, 40(12): 4544-4559.

84 Nie, Y., Cai, W., Wang, C., Huang, G., Ding, Q., Yu, L., Li, H., Ji, D. 2019. Assessment of the potential and distribution of an energy crop at 1-km resolution from 2010 to 2100 in China — the case of sweet sorghum. Applied Energy, 239: 395-407.

83 Wang, H., Liu, X., Zhang, X., Wang, P., Lin, H., Yu, L. 2019. Spatiotemporal crop NDVI responses to climatic factors in mainland China. International Journal of Remote Sensing, 40(1): 89-103.

82 Li, W., Dong, R., Fu, H., Yu L. 2019. Large-Scale Oil Palm Tree Detection from High-Resolution Satellite Images Using Two-Stage Convolutional Neural Networks, Remote Sensing, 11(1):11.

81 Schumann, G., Benegal, V., Yu, C., Tao, S., Jernigan, T., Heinz, A., Araya, R., Yu, L., Calhoun, V., GIGA consortium. 2019. Precision medicine and global mental health, Lancet Global Health, 7(1): e32.

80 Vasuki, Y., Yu, L., Holden, E.-J., Kovesi, P., Wedge, D., Grigg, A. 2019. The spatial-temporal patterns of land cover changes due to mining activities in Darling Range, Western Australia: A visual analytics approach. Ore Geology Reviews, 108: 23-32.

79 Liu, X., Yu, L., Zhong, L., Wu, B., Wang, H., Yu, C., Gong, P. 2019. Spatial-temporal patterns of features selected using random forests: a case study of corn and soybeans mapping in the US. International Journal of Remote Sensing, 40(1): 269-283.

78 Liu, Q., Wu, J., Li, L., Yu, L., Li, J., Xin, X., Jia, L., Zhong, B., Niu, Z., Xu, X., Meng, Q., Zhao, J., Zhang, H., Hu, G., Zheng, C. 2018. Ecological environment monitoring for sustainable development goals in the Belt and Road region, Journal of Remote Sensing, 22(4): 698-707.

77 Xu, Y., Yu, L., Zhao, F., Cai, X., Lu, H., Gong, P. 2018. Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: experiments from three sites in Africa. Remote Sensing of Environment, 218, 13-31.

76 Liu, X., Yu, L., Si, Y., Zhang, C., Lu, H., Yu, C., Gong, P. 2018. Identifying patterns and hotspots of global land cover transitions using the ESA CCI Land Cover dataset. Remote Sensing Letters, 9(10): 972-981.

75 Hao, P., Tang, H., Chen, Z., Yu, L., Wu, M. 2018. A sampling workflow based on unsupervised clusters and multi-temporal sample interpretation (UCMT) for cropland mapping. Remote Sensing Letters, 9(10): 952-961.

74 Yu, L., Xu, Y., Xue, Y., Li, X., Cheng, Y., Liu, X., Porwal, A., Holden, EJ., Yang, J., Gong, P. 2018. Monitoring surface mining belts using multiple remote sensing datasets: A global perspective. Ore Geology Reviews, 101: 675-687.

73 Cheng, Y., Yu, L., Xu, Y., Liu, X., Lu, H., Cracknell, A.P., Kanniah, K., Gong, P. 2018. Towards global oil palm plantation mapping using remote-sensing data. International Journal of Remote Sensing, 39(18): 5891:5906.

72 Peng, D., Zhang, H., Yu, L., Wu, M., Wang, F., Huang, W., Liu, L., Sun, R., Li, C., Wang, D., Xu, F. 2018. Assessing spectral indices to estimate the fraction of photosynthetically active radiation absorbed by the vegetation canopy. International Journal of Remote Sensing, 39(22): 8022-8040.

71 Xu, Y., Yu, L., Peng, D., Cai, X., Cheng, Y., Zhao, J., Zhao, Y., Feng, D., Hackman, K., Huang, X., Lu, H., Yu, C., Gong, P. 2018. Exploring the temporal density of Landsat observations for cropland mapping: experiments from Egypt, Ethiopia and South Africa. International Journal of Remote Sensing, 39(21): 7328-7349.

70 Yu, C., Huang, X., Chen, H., Huang, G., Ni, S., Wright, J.S., Hall, J., Ciais, P., Zhang, J., Sun, Z., Wang, X., Yu, L. 2018. Assessing the impacts of extreme agricultural droughts in China under climate and socioeconomic changes. Earth’s Future, 6(5): 689-703.

69 Liu, X., Yu, L., Li, W., Peng, D., Zhong, L., Li, L., Xin, Q., Lu, H., Yu, C., Gong, P. 2018. Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data, International Journal of Remote Sensing, 39(20): 6631-6645.

68 Li, C., Lu, H., Yang, K., Han, M., Wright, J.S., Chen, Y., Yu, L., Xu, X., Huang, X., Gong, W. 2018. The evaluation of SMAP enhanced soil moisture products using high-resolution model simulations and in-situ observations on the Tibetan Plateau. Remote Sensing, 10(4): 535.

67 Peng, D., Wu, C., Zhang, X., Yu, L., Huete, A., Wang, F. Luo, S., Liu, X., Zhang, H. 2018. Scaling up spring phenology derived from remote sensing images. Agricultural and Forest Meteorology, 256-257, 207-219.

66 Yu, L., Liu, X., Zhao, Y., Yu, C., Gong, P. 2018. Difficult to map regions in 30 m global land cover mapping determined with a common validation dataset. International Journal of Remote Sensing, 39(12): 4077-4087.

65 Lyu, H., Lu, H., Mou, L., Li, W., Li, X., Zhu, X., Wang, J., Yu, L., Gong, P. 2018. Long-term annual mapping of four cities on different continents by applying a deep information learning method to Landsat data. Remote Sensing, 10(3): 471.

64 Feng, D., Yu, L., Zhao, Y., Cheng, Y., Xu, Y., Li, C., Gong, P. 2018. A multiple dataset approach for 30-m resolution land cover mapping: a case study of continental Africa. International Journal of Remote Sensing, 39(12): 3926-3938.

63 Zhang, W., Li, X., Yu, L., Si, Y. 2018. Multi-scale habitat selection of two declining East Asian waterfowl species at the core stopover area. Ecological Indicators, 87: 127-135.

62 Li, X., Lu, H., Yu, L., Yang, K. 2018. Comparison of the spatial characteristics of four remotely sensed leaf area index products over China: direct validation and relative uncertainties. Remote Sensing, 10(1): 148.

61 Cheng, Y., Yu L., Xu, Y., Hui, L., Cracknell, A.P., Kanniah, K., Gong, P. 2018. Mapping oil palm extent in Malaysia using ALOS-PALSAR data. International Journal of Remote Sensing, 39(2): 432-452.

60 Xue, Y., Yang, Y., Yu, L. 2018. Mineral composition of the Martian Gale and Nili Fossae regions from Mars Reconnaissance Orbiter CRISM images. Planetary and Space Science, 2018: 97-105.

59 Huang, C., Yang, J., Lu, H., Huang, H., Yu, L. 2017. Green Spaces as an Indicator of Urban Health: Evaluating Its Changes in 28 Mega-Cities. Remote Sensing, 9(12): 1232.

58 Li, L., Zhao, Y., Fu, Y., Pan, Y., Yu, L., Xin, Q. 2017. High Resolution Mapping of Cropping Cycles by Fusion of Landsat and MODIS Data. Remote Sensing, 9(12): 1232.

57 Cui, D., Tian, F., Wang, Y., Li, C., Yu, C., Yu, L. 2017. On the growth and detectability of land plants on habitable planets around M Dwarfs. Astrobiology, 17(12): 1219-1232.

56 Zhao, Y., Feng, D., Yu, L., See, L., Fritz, S., Perger, C., Gong, P., 2017. Assessing and Improving the Reliability of Volunteered Land Cover Reference Data. Remote Sensing, 9, 1034.

55 Li, W., Fu, H., You, Y., Yu, L., Fang, J., 2017. Parallel Multiclass Support Vector Machine for Remote Sensing Data Classification on Multicore and Many-Core Architectures. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(10): 4387-4398.

54 Li, C., Lu, H., Yang, K., Wright, J. S., Yu, L., Chen, Y., Huang, X., Xu, S., 2017. Evaluation of the Common Land Model (CoLM) from the Perspective of Water and Energy Budget Simulation: Towards Inclusion in CMIP6. Atmosphere, 8, 141.

53 Li, X., Lu, H., Zhou, Y., Hu, T., Liang, L., Liu, X., Hu, G., Yu, L. 2017. Exploring the performance of spatio-temporal assimilation in an urban cellular automata model. International Journal of Geographical Information Science, 31, 2195-2215.

52 Li, X., Gong, P., Yu, L., Hu, T., 2017. A segment derived patch-based logistic cellular automata for urban growth modeling with heuristic rules. Computers, Environment and Urban Systems, 65, 140-149.

51 Ren, H., Liu, R., Qin, Q., Fan, W., Yu, L., Du, C., 2017. Mapping finer-resolution land surface emissivity using Landsat images in China. Journal of Geophysical Research-Atmospheres, 122, 6764-6781.

50 Huang, X., Huang, G., Yu, C., Ni, S., Yu, L., 2017. A multiple crop model ensemble for improving broad-scale yield prediction using Bayesian model averaging. Field Crops Research, 211, 114-124.

49 Xu, Y., Yu, L., Zhao, Y., Feng, D., Cheng, Y., Cai, X., Gong, P. 2017. Monitoring cropland changes along the Nile River in Egypt over past three decades (1984-2015) using remote sensing. International Journal of Remote Sensing, 38(15): 4459-4480.

48 Liu, X. Yu, L., Wang, H., Zhong, L., Lu, H., Yu, C., Gong, P. 2017. Exploring the correlations between ten monthly climatic variables and the vegetation index of four different crop types at the global scale. Remote Sensing Letters, 8(8): 752-760.

47 Cheng, Y., Yu L., Zhao, Y., Xu, Y., Hackman, K., Cracknell, A.P., Gong, P. 2017. Towards a global oil palm sample database: design and implications. International Journal of Remote Sensing, 38(14): 4022-4032.

46 Li, C., Gong, P., Wang, J., Zhu, Z., Biging, G.S., Yuan, C., Hu, T., Zhang, H., Wang, Q., Li, X., Liu, X., Xu, Y., Guo, J., Liu, C., Heckman, K., Zhang, M., Cheng, Y., Yu, L., Yang, J., Huang, H., Clinton, N. 2017. The first all-season sample set for mapping global land cover with Landsat-8 data. Science Bulletin, 62(7): 508-515.

45 Chen, X., Lin, Y., Zhang, M., Yu, L., Li, H., Bai, Y. 2017. Assessment of the Cropland Classifications in four global land cover datasets: A case study of Shaanxi Province, China. Journal of Integrative Agriculture, 16(2): 298-311.

44 Yu, L., Li, X., Li, C., Zhao, Y., Niu, Z., Huang, H., Wang, J., Cheng, Y., Lu, H., Si, Y., Yu, C., Fu, H., Gong, P. 2017. Using a global reference sample set and a cropland map for area estimation in China. Science China Earth Sciences, 60(2): 277-285.

43 Li, W., Fu, H., Yu, L., Cracknell, A. 2017. A Deep learning based oil palm tree detection and counting for high-resolution remote sensing images. Remote Sensing, 9(1): 22.

42 Gong, P., Yu, L., Li, C., Wang, J., Liang, L., Li, X., Ji, L., Bai, Y., Cheng, Y., Zhu, Z. 2016. A new research paradigm for global land cover mapping. Annals of GIS, 22(2): 87-102.

41 Zhong, L., Yu, L., Li, X., Hu, L., Gong, P. 2016. Rapid corn and soybean mapping in US Corn Belt and neighboring areas. Scientific Reports, 6: 36240.

40 Zhao, F.R., Meng, R., Huang, C., Zhao, M., Zhao, F.A., Gong, P., Yu, L., Zhu, Z. 2016. Long-term post-disturbance forest recovery in the Greater Yellowstone ecosystem analyzed using Landsat time series stack. Remote Sensing, 8(11): 898.

39 Yu, L., Fu, H., Wu, B., Clinton, N., Gong, P. 2016. Exploring the potential role of feature selection in global land cover mapping. International Journal of Remote Sensing, 37(23): 5491-5504.

38 Li, W., Fu, H., Yu, L., Gong, P., Feng, D., Li, C., Clinton, N. 2016. Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping. International Journal of Remote Sensing, 37(23): 5632-5646.

37 Cheng, Y., Yu, L., Cracknell, A., Gong, P. 2016. Oil palm mapping using Landsat and PALSAR: a case study in Malaysia. International Journal of Remote Sensing, 37(22): 5431-5442.

36 Wu, B., Fang, H., Yu, L., Zhang, Q. 2016. A fully automatic method to extract rear earth area mining area from Landsat image. Photogrammetric Engineering & Remote Sensing, 82(9): 729-737.

35 Li, X., Yu, L., Xu, Y., Yang, J., Gong, P. 2016. Ten years after Hurricane Katrina: monitoring recovery in New Orleans and the surrounding areas using remote sensing. Science Bulletin, 61(18): 1490-1470.

34 Feng, D., Zhao, Y., Yu, L., Li, C., Wang, J., Clinton, N., Belward, A., Zhu, Z., Gong, P. 2016. Circa 2014 African land-cover maps compatible with FROM-GLC and GLC2000 classification schemes based on multi-seasonal Landsat data. International Journal of Remote Sensing, 37(19): 4648-4664.

33 Li, C., Gong, P., Wang, J., Yuan, C., Hu, T., Wang, Q., Yu, L., Clinton, N., Li, M., Guo, J., Feng, D., Huang, C., Zhan, Z., Wang, X., Xu, B., Nie, Y., Hackman, K. 2016. An all-season database for improving land-cover mapping of Africa with two classification schemes. International Journal of Remote Sensing, 37(19): 4623-4647.

32 Li, X., Yu, L., Sohl, T., Li, W., Zhu, Z., Liu, X., Clinton, N., Gong, P. 2016. A cellular automata downscaling based 1 km global land use datasets (2010-2100). Science Bulletin, 61(21): 1665-1661.

31 Shi, X., Nie, S., Ju, W., Yu, L. 2016. Climate effects of the GlobeLand30 land cover dataset on the Beijing Climate Center climate model simulations. Science China Earth Sciences, 59(9): 1754-1794.

30 Zhong, L., Hu, L., Yu, L., Gong, P., Biging, G.S. 2016. Automated mapping of soybean and corn using phenology. ISPRS Journal of Photogrammetry and Remote Sensing, 119: 151-164.

29 Zhao, Y., Feng, D., Yu, L., Wang, X., Chen, Y., Jaime, Mauricio, Christian, Biging, G.S., Radke, J.D., Gong, P. 2016. Detailed dynamic land cover mapping of Chile: accuracy improvement by integrating multi-seasonal land cover data. Remote Sensing of Environment, 183: 170-185.

28 Zhang, H., Huang, B., Zhang, M., Cai, K., Yu, L. 2015. A generalization of spatial and temporal fusion methods for remotely sensed surface parameters. International Journal of Remote Sensing, 36(17): 4411-4445.

27 Yu, L., Shi, Y., Gong, P. 2015. Land cover mapping and data availability in critical terrestrial ecoregions: a global perspective. Biological Conservation, 190: 34-42.

26 Clinton, N., Yu, L., Gong, P. 2015. Geographic stacking: a method to increase global map accuracy. ISPRS Journal of Photogrammetry and Remote Sensing, 103: 57-65.

25 Xin, Q., Broich, M., Suyker, A. E., Yu, L., Gong, P. 2015. Multi-scale evaluation of light use efficiency in MODIS gross primary productivity for croplands in the Midwestern United States. Agricultural and Forest Meteorology, 201: 111-119.

24 Wang, J., Zhao, Y., Li, C., Yu, L., Liu, D., Gong, P. 2014. Mapping global land cover in 2001 and 2010 with spatial-temporal consistency at 250 m resolution. ISPRS Journal of Photogrammetry and Remote Sensing, 103: 38-47.

23 Cao, K., Zhang, H., Chen, J., Zhang, W., Yu, L. 2014. Variational Model based Very High Spatial Resolution Remote Sensing Image Fusion. Journal of Applied Remote Sensing, 8(1): 083565.

22 Clinton, N., Yu, L., Fu, H., He, C., Gong, P. 2014. Global-scale associations of vegetation phenology with rainfall and temperature at high spatio-temporal resolution. Remote Sensing, 6(8), 7320-7338.

21. Yu, L., Wang, J., Li, X., Li, C., Gong, P. 2014. A multi-resolution global land cover dataset through multisource data aggregation. Science China Earth Sciences, 57(10): 2317-2329.

20 Zhao, Y., Gong, P., Yu, L., Hu, L., Li, X., Li, C., Zhang, H., Zheng, Y., Wang, J., Zhao, Y., Cheng, Q., Liu, C., Liu, S., Wang, X. 2014. A common validation sample set for global land cover mapping. International Journal of Remote Sensing, 35(13): 4795-4814.

19 Hu, L., Chen, Y., Xu, Y., Zhao, Y., Yu, L., Wang, J., Gong, P. 2014. 30 meter land cover mapping of China with an efficient clustering algorithm CBEST. Science China Earth Sciences, 57(10): 2293-2304.

18 Yu, L., Liang, L., Wang, J., Zhao, Y., Cheng, Q., Hu, L., Liu, S., Yu, L., Wang, X., Zhu, P., Li, X., Xu, Y., Li, C., Fu, W., Li, X., Li, W., Liu, C., Cong, N., Zhang, H., Sun, F., Bi, X., Xin, Q., Li, D., Yan, D., Zhu, Z., Goodchild, M.F., Gong, P. 2014. Meta-discoveries from a synthesis of satellite-based land cover mapping research. International Journal of Remote Sensing, 35(13): 4573-4588.

17 Li, C., Wang, J., Hu, L., Yu, L., Clinton, N., Huang, H., Yang, J., Gong, P. 2014. A circa 2010 thirty-meter resolution forest map for China. Remote Sensing, 6(6), 5325-5343.

16 Li, X., Liu, X., Yu, L. 2014. A systematic sensitivity analysis of constraint cellular automata model for urban growth simulation based on different transition rules. International Journal of Geographical Information Science, 28 (7), 1317-1335.

15 Li, X., Liu, X., Yu, L. 2014. Aggregative model-based classifier ensemble for classifying remotely sensed images. International Journal of Remote Sensing, 35 (4): 1481-1495.

14 Zhang, H., Huang, B., Yu, L. 2014. Intermodality models in pan-sharpening: analysis based on remote sensing physics. International Journal of Remote Sensing, 35 (2), 515-531.

13 Xin, Q., Gong, P., Yu, C., Yu, L., Broich, M., Suyker, A., Myneni, R. 2013. A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US. Remote Sensing, 5(11): 5926-5943.

12 Yu, L., Wang, J., Clinton, N., Xin, Q., Zhong, L., Chen, Y., Gong, P. 2013. FROM-GC: 30m global cropland extent derived through multi-source data integration. International Journal of Digital Earth, 6(6): 521-533.

11 Yu, L., Wang, J., Gong, P. 2013. Improving 30 meter global land cover map FROM-GLC with time series MODIS and auxiliary datasets: a segmentation based approach. International Journal of Remote Sensing, 34(16): 5851-5867.

10 Gong, P., Wang, J., Yu, L., et al. 2013. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 34(7): 2607-2654.

9 Yu, L., Porwal, A., Holden, E-J., Dentith, C.M. 2012. Towards automatic lithological classification from remote sensing data using support vector. Computers & Geosciences, 45:229-239.

8 Yu, L., Gong, P. 2012. Google Earth as a virtual globe tool for earth science applications at global scale: progress and perspectives. International Journal of Remote Sensing, 33(12): 3966-3986.

7 Yu, L., Holden, E-J., Dentith, M.C., Zhang, H. 2012. Towards the automatic selection of optimal seam line locations when merging optical remote sensing images. International Journal of Remote Sensing, 33(4): 1000-1014.

6 Huang, B., Zhang, H., Yu, L. 2012. Improving Landsat ETM+ Urban Area Mapping via Spatial and Angular Fusion with MISR Multi-Angle Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5: 101-109.

5 Wang, L., Li, C., Ying, Q., Wang, X., Li, X., Hu, L., Liang, L., Yu, L., Huang, H., Gong, P. 2012. China’s urban expansion from 1990 to 2010 determined with satellite remote sensing, Chinese Science Bulletin, 57 (22): 2802-2812.

4 Yu, L., Porwal, A., Holden, E-J., Dentith, M.C. 2011. Suppression of vegetation in multispectral remote sensing images. International Journal of Remote Sensing, 32(22): 7343-7357.

3 Cao, K., Batty, M., Huang, B., Liu, Y., Yu, L., Chen, J. 2011. Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II. International Journal of Geographical Information Science, 25: 1949-1969.

2 Bai, J., Porwal, A., Hart, C., Ford, A., Yu, L. 2009. Mapping geochemical singularity using multifractal analysis: Application to anomaly definition on stream sediments data from Funin Sheet, Yunnan, China. Journal of Geochemical Exploration, 104: 1-11.

1 Yu, L., Zhang, D., Holden, E-J. 2008. A fast and fully automatic registration approach based on point features for multi-source remote-sensing images. Computers & Geosciences, 34(7): 838-848.