Land Use/cover change (LUCC) is the main form of global terrestrial ecosystem change and characterization of human activity in response to global change, and one of the important forms of developing beautiful cities and villages. Hu Yunfeng's research group investigated the LUCC change and its ecological response at national, provincial and city scales using satellite remote sensing and Internet big data, and published a number of SCI-indexed papers in Land Use Policy (Q1), Ecological Indicators (Q1), Scientific Reports(Q1), Remote Sensing(Q2), Sustainability(Q2), Environmental Development(Q3), Journal of Geographical Sciences(Q3), etc., in 2019. These researches have mainly solved the following problems:

　　1) The study analyzed the spatial and temporal LUCC in the regions of Inner Mongolia and Guangxi, etc, parsed the impacts of urbanization, land reclamation, livestock development,  deforestation and climate change, and regionally different driving mechenisms, and finally proposed policy measures for curbs on grassland degradation, forest protection and  afforestation (articles 1 and 2).

　　2) The study put forward a novel method of long time series land use/cover mapping supported by Google Earth Engine (GEE), based on which dynamic trends of land cover in the core area of Eurasia were summarized and the varied response of LUCC to climate change was explored in Xinjiang, China and five Central Asian countries (article 3).

　　3) The study analyzed the temporal-spatial characteristics of vegetation change on the Loess Plateau since 2000 and estimated the contribution rates of human activities and climate change to regional vegetation changes; quantitatively evaluated the water yield and soil erosion modulus of the Loess Plateau based on future land development and climate change scenarios, supporting regional economic and social development and sustainable management of ecological system (articles 4 and 5).

　　4) The study revealed the impacts of LUCC components and spatial patterns on the urban heat island effect (article 6),  identified urban functional areas based on POI data (article 7), and investigated the soil erosion and accumulation moduli using Cs-137 and Pb-210(ex) method (article 8) respectively in Beijing's Olympic area, Guangzhou economic and Technological development zone, and Hunshandake sand land in Inner Mongolia.  

　 The study was supported by the National Key Research and Development Program of China (2016YFC0503701 and 2016YFB0501502), the Strategic Priority Research Program of Chinese Academy of Sciences (XDA19040301, XDA20010202 and XDA23100201) and the Key Project of High Resolution Earth Observation System (00-Y30B14-9001-14/16).

　　1.Hu, Y. F., Batunacun, Zhen, L., & Zhuang, D. F. (2019). Assessment of Land-Use and Land-Cover Change in Guangxi, China. Scientific Reports, 9. doi:10.1038/s41598-019-38487-w, https://www.nature.com/articles/s41598-019-38487-w.

　　2.Batunacun, Wieland, R., Lakes, T., Hu, Y. F., & Nendel, C. (2019). Identifying drivers of land degradation in Xilingol, China, between 1975 and 2015. Land Use Policy, 83, 543-559. doi:10.1016/j.landusepol.2019.02.013, https://www.sciencedirect.com/science/article/pii/S026483771831370X.

　　3.Hu, Y. F., & Hu, Y. (2019). Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine. Remote Sensing, 11(5). doi:10.3390/rs11050554, https://www.mdpi.com/2072-4292/11/5/554.

　　4.Hu, Y. F., Dao, R. N., & Hu, Y. (2019). Vegetation Change and Driving Factors: Contribution Analysis in the Loess Plateau of China during 2000-2015. Sustainability, 11(5). doi:10.3390/su11051320, https://www.mdpi.com/2071-1050/11/5/1320.

　　5.Hu, Y., Gao, M., & Batunacun. (2019). Evaluations of water yield and soil erosion in the Shaanxi-Gansu Loess Plateau under different land use and climate change scenarios. Environmental Development, 100488. doi: 10.1016/j.envdev.2019.100488,

　　https://www.sciencedirect.com/science/article/pii/S2211464519301101?via%3Dihub.

　　6.Dai, Z. X., Guldmann, J. M., & Hu, Y. F. (2019). Thermal impacts of greenery, water, and impervious structures in Beijing's Olympic area: A spatial regression approach. Ecological Indicators, 97, 77-88. doi:10.1016/j.ecolind.2018.09.041, https://www.sciencedirect.com/science/article/pii/S1470160X18307386.

　　7.Hu, Y. F., & Han, Y. Q. (2019). Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone. Sustainability, 11(5). doi:10.3390/su11051385, https://www.mdpi.com/2071-1050/11/5/1385.

　　8.Hu, Y. F., & Zhang, Y. Z. (2019). Using Cs-137 and Pb-210(ex) to investigate the soil erosion and accumulation moduli on the southern margin of the Hunshandake Sandy Land in Inner Mongolia. Journal of Geographical Sciences, 29(10), 1655-1669.  doi:10.1007/s11442-019-1983-1, https://link.springer.com/article/10.1007/s11442-019-1983-1.