Name Jinhu BIAN Professional Title Associate Professor Address No. 9, Block 4, Renminnanlu Road, Chengdu, 610041, People’s Republic of China E-mail bianjinhu@imde.ac.cn Professional Expertise Spatio-temporal fusion methods for Mountain remote sensing images, mountain ecosystem parameters retrieving; Integrated application of remote sensing for mountain ecological Environment Education 2016/3-2017/3,Visiting Scholar, Department of Geographical Sciences, University of Maryland, USA 2013/9-2017/6,Ph.D Degree, University of Chinese Academy of Sciences, Beijing China 2007/9-2010/6,Master Degree, University of Chinese Academy of Sciences, Beijing China 2003/9-2007/6,Bachelor Degree, Sichuan Agricultural University, Sichuan, China Employment Record(including international working experience ) 2020/7-present, Associate Professor, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences 2014/12-2020/7, Research Associate, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences 2010/7-2014/12, Research Assistant, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences Running Projects [1] The National Natural Science Foundation of China [2] The Youth Innovation Promotion Association CAS [3] The 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS [4] The CAS “Light of West China” Program Academic Society Activities [1] Member of Geoscience & Remote Sensing Society, IEEE [2] Vice Secretary of the Professional Committee of Digital Mountain, Chinese National Committee of International Society of Digital Earth Awards [1] “Outstanding graduates” Award, Education department of Sichuan Province, 2010 [2] Frontrunner 5000 Top Articles in Outstanding S&T Journals of China Award, Institute of Scientific and Technical Information of China, 2015 [3] “Dean's award for excellence graduates”, Chinese Academy of Sciences, 2017 [4] Elsevier Atlas Award, Elsevier, 2020 Publications [1] Bian, J., Li, A., Lei, G., et al. Global high-resolution mountain green cover index mapping based on Landsat images and Google Earth Engine. ISPRS J Photogramm 2020, 162, 63-76. [2]Bian, J., Li, A., Zuo, J., et al. Estimating 2009–2017 Impervious Surface Change in Gwadar, Pakistan Using the HJ-1A/B Constellation, GF-1/2 Data, and the Random Forest Algorithm. ISPRS International Journal of Geo-Information 2019, 8, 443. [3]Bian, J., Li, A., Huang, C., et al. A self-adaptive approach for producing clear-sky composites from VIIRS surface reflectance datasets. ISPRS J Photogramm 2018, 144, 189-201. [4]Bian, J., Li, A., Zhang, Z., et al. Monitoring fractional green vegetation cover dynamics over a seasonally inundated alpine wetland using dense time series HJ-1A/B constellation images and an adaptive linear mixture model. Remote Sensing of Environment, 2017, 197: 98-114. [5]Bian, J., Li, A., Liu, Q., et al. Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context. Remote Sensing, 2016, 8(1): 31. [6]Bian, J., Li, A., Wang, Q., et al. Development of Dense Time Series 30-m Image Products from the Chinese HJ-1A/B Constellation: A Case Study in Zoige Plateau, China. Remote sensing, 2015, 7(12): 16647-16671. [7]Bian, J., Li, A., Jin, H., et al. Auto-registration and orthorecification algorithm for the time series HJ-1A/B CCD images. Journal of Mountain Science, 2013, 10(5): 754-767. [8]Bian, J., Li, A., Jin, H., et al. Multi-temporal cloud and snow detection algorithm for the HJ1A/B CCD imagery of China. in 2014 34rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014, July 13, 2013 - July 18, 2014, Quebec, Canada, 2014, pp. 501-504. [9]Bian, J., Li, A., Zhang, Z., et al. Grassland fractional vegetation cover monitoring using the composited HJ-1A/B time series images and unmanned aerial vehicles: A case study in Zoige wetland, China. in 2016 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, July 10-15, 2016, Beijing, China, 2016, pp. 7192-7195. [10]Bian, J., Li, A., Zhao, W., et al. An automatic orthorectification approach for the time series GF-4 geostationary satellite images in mountainous area. in 2017 37th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, July 23-28, 2017, Texas, USA, 2017. [11]Bian, J., Li, A., Deng, W. Estimation and analysis of net primary Productivity of Ruoergai wetland in China for the recent 10 years based on remote sensing. Procedia Environmental Sciences, 2010, 2: 288-301. [12]Li, A., Bian, J., Lei, G., et al. Estimating the Maximal Light Use Efficiency for Different Vegetation through CASA Model Combined with Time-series Remote Sensing Data and Ground Measurements. Remote sensing. 2012, 4(12): 3857-3876. [13]Li, A., Wang, Q., Bian, J., et al. An Improved Physics-based Model for Topographic Correction of Landsat TM Images. Remote sensing, 7(5), pp. 6296-6319, 2015. [14]Li, A., Jiang, J., Bian, J., et al. Combining the matter element model with the associated function of probability transformation for multi-source remote sensing data classification in mountainous regions. ISPRS Journal of Photogrammetry and Remote Sensing. 2012, 67: 80-92. [15]Jin, H., Li, A., Bian, J., et al. Intercomparison and validation of MODIS and GLASS leaf area index (LAI) products over mountain areas: A case study in southwestern China. International Journal of Applied Earth Observation and Geoinformation, 2017, 55: 52-67. [16]Wang, J., Li, A., Bian, J. Simulation of the Grazing Effects on Grassland Aboveground Net Primary Production Using DNDC Model Combined with Time-Series Remote Sensing Data—A Case Study in Zoige Plateau, China. Remote Sensing. 2016, 8(3): 168. [17]Lei, G., Li, A., Bian, J., et al. Land Cover Mapping in Southwestern China Using the HC-MMK Approach. Remote Sensing. 2016, 8(4): 305.
Jinhu BIAN
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