Bao She （Ph.D.）
SEX: Male
NATIONALITY: China
PRESENT POSITION: University lecturer
DATE OF BIRTH: 18th May 1982
CONTRACT DETAILS
Address: School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, No.168 Taifeng Road, Tianjiaan District, Huainan 232001, P.R.China.
Email: shebao518@163.com
Mobile: 13858044819
ACADEMIC AND PROFESSIONAL INTERESTS
（Main research interests or main skills）
Bao She: University lecturer, working in School of Spatial Informatics and Geomatics Engineering, Anhui University of Science and Technology, Ph.D. The main research interests cover Crop planting information extraction using remote sensing; Remote sensing monitoring and assessment of crop damage, etc., involving hyperspectral remote sensing extraction of geospatial information, fine-scale remote sensing identification of crops, remote sensing detection of crop stress characteristics, and quantitative remote sensing inversion of surface parameters/physical quantities, and so on.
ACADEMIC QUALIFICATIONS
PhD. College of Environment & Resource Sciences, Zhejiang University, China Agricultural remote sensing; Remote sensing mapping of rapeseed planting areas, the method of remote sensing evaluation of freezing damage of rapeseed (2011-2017)
MSc. School of Resources and Geosciences, China University of Minning and Technology, China Cartography and geographic information engineering; Quantitative inversion of surface energy budget components based on MODIS data (2007-2010)
BSc. Shandong University of Science and Technology, China Geographic information system (2003-2007)
PUBLICATIONS
She B, Hu J, Huang L, et al. Mapping soybean planting areas in regions with complex planting structures using machine learning models and Chinese GF-6 WFV data[J]. Agriculture-Basel, 2024, 14. (accepted for publication, SCI)
Zhu M, She B*, Huang L, et al. Identification of soybean based on Sentinel-1/2 SAR and MSI imagery under a complex planting structure[J]. Ecological Informatics, 2022, 72: 101825. (SCI)
She B, Yang Y, Zhao Z, et al. Identification and mapping of soybean and maize crops based on Sentinel-2 data[J]. International Journal of Agricultural and Biological Engineering, 2020, 13(6): 171-182. (SCI)