Research Professors
HU Yunfeng
Source： | Date：2016-10-10 | 【Print】 【Close】
Hu Yunfeng
Professor；PhD
State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
E-mail: huyf@lreis.ac.cn; huyf@igsnrr.ac.cn
Research Interests
Mainly engaged in land use / land cover mapping, ecosystem monitoring and evaluation, and agricultural informatization engineering, etc.
Academic Awards:
2017, Won the first prize of the China National Surveying and Mapping Science & Technology Progress Award.
Education
2001-2005: Studied for Doctoral degree in Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences
1997-2000: Studied for Master’s degree in Central South University of Technology (now Central South University)
1993-1997: Studied for Bachelor degree in Central South University of Technology (now Central South University)
Academic Experience
2009-present: worked as Assistant Researcher / Associate Researcher in Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences
2008-2009: Worked as visiting scholar at KTH-Royal Institute of Technology, Sweden.
2007-2008, Worked as visiting scholar in Purdue University, USA.
2005-2007, Worked as a postdoctoral in Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, China.
Main Research Grants
NationalNatural Science Foundation of China (2020-2023): Quantitative research on land cover changes and soil erosion effects in the agro-pastoral ecotone of Northern China.
Ministry of Science and Technology of China (2016-2020): Ecological technology evaluation method & index and global ecological governance technology evaluation.
Ministry of Science and Technology of China (2016-2020): Dynamic monitoring technology of the earth ’s resources and environment.
National Development and Reform Commission of China (2012-2016): Production of Specific Products for Eco-Environmental Monitoring & Assessment Supported by Multi-Source Satellites and Professional Services.
National Development and Reform Commission of China (2010-2012): Production of Universal Products for National Eco-Environmental Monitoring & Assessment and Industrialization Demonstration Mainly Supported by Domestic Satellites.
Ministry of Science and Technology of China (2008-2012): Integrated Monitoring and Evaluation Technology in the National Ecological Restoration and Reconstruction Engineering.
National Natural Science Foundation of China (2010-2013): Land use change in central and eastern Inner Mongolia and its impacts on soil erosion.
National Natural Science Foundation of China (2008-2011): Development of Soil Erosion and Its Spatial Pattern in Northern Hebei and Southeastern Mongolia.
National Natural Science Foundation of China (2006-2009): Quantitative Research on land degradation and its carbon effects in the northern agricultural-pastoral ecotone of China.
Main Papers
[2] Hu, Y.; Hu, YF*. Detecting Forest Disturbance and Recovery in Primorsky Krai, Russia, Using Annual Landsat Time Series and Multi–Source Land Cover Products. Remote Sens.2020,12, 129. doi:10.3390/rs12010129
[3] 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
[4] 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
[5] DAI Z X, GULDMANN J M, HU Y F*. Thermal impacts of greenery, water, and impervious structures in Beijing’s Olympic area: A spatial regression approach[J]. Ecological Indicators, 2019, 97(2): 77-88.
[6] Hu Y F*, Hu Y. Land Cover Changes and Their Driving Mechanisms in Central Asia from 2001 to 2017 Supported by Google Earth Engine[J]. Remote Sensing.2019,11(5).
[7] HU Y F*, BATUNACUN, ZHEN L, ZHUANG D F. Assessment of Land-Use and Land-Cover Change in Guangxi, China[J]. Scientific Reports, 2019, 9.
[8] HU Y F*, ZHANG Q L, ZHANG Y Z, YAN H M. A Deep Convolution Neural Network Method for Land Cover Mapping: A Case Study of Qinhuangdao, China[J]. Remote Sensing, 2018, 10(12).
[9] HU Y F*, HAN Y Q, ZHANG Y Z. Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China[J]. Applied Sciences-Basel, 2018, 8(11).
[10] HU Y F*, DONG Y, BATUNACUN. An automatic approach for land-change detection and land updates based on integrated NDVI timing analysis and the CVAPS method with GEE support[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 146: 347-359.
[11] HU Y F*, BATUNACUN. An Analysis of Land-Use and Land-Cover Change in the Zhujiang-Xijiang Economic Belt, China, from 1990 to 2017[J]. Applied Sciences-Basel, 2018, 8(9).
[12] DAI Z X, GULDMANN J M, HU Y F*. Spatial regression models of park and land-use impacts on the urban heat island in central Beijing[J]. Science of the Total Environment, 2018, 626: 1136-1147.
[13] HU Y F*, LIU J Y, BATUNACUN, ZHEN L. Determination of Cs-137 reference inventories in a large-scale region: A case study in the central-eastern Inner Mongolia Plateau[J]. Journal of Geographical Sciences, 2014, 24(6): 1047-1059.
[14] ZHANG Q, HU Y F*, LIU J Y, LIU Y, REN W B, LI J. A quantitative assessment of the distribution and extent of urban clusters in China[J]. Journal of Geographical Sciences, 2012, 22(1): 137-151.
[15] LIU J Y, ZHANG Q, HU Y F*. Regional differences of China's urban expansion from late 20th to early 21st century based on remote sensing information[J]. Chinese Geographical Science, 2012, 22(1): 1-14.
[16] ZHANG X Y, HU Y F*, ZHUANG D F, QI Y Q, MA X. NDVI spatial pattern and its differentiation on the Mongolian Plateau[J]. Journal of Geographical Sciences, 2009, 19(4): 403-415.
[17] HU Y F*, LIU J Y, ZHUANG D F, CAO H X, YAN H M, YANG F T. Distribution characteristics of (CS)-C-137 in wind-eroded soil profile and its use in estimating wind erosion modulus[J]. Chinese Science Bulletin, 2005, 50(11): 1155-1159.
Office Address
Institute of Geographic Sciences and Natural Resources Research, CAS.
Anwai Datun Road 11A, Chaoyang Dist.
Beijing, China
100101
