General

Name: Jinhu Bian

Professional title: Associate Professor

Email: bianjinhu@imde.ac.cn

Address: No. 9, Block 4, Renminnanlu Road, Chengdu, 610041, People’s Republic of China 

Research Areas

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 


Experience

   
Work 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  


Publications

   
Papers

[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 20092017 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 DataA 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.  


Research Interests

[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 


Students

Cartography and geography information system, Remote Sensing

Honors & Distinctions

[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