title: [Estimation of vegetation canopy water content using Hyperion hyperspectral data].
abstract: Vegetation canopy water content (VCWC) has widespread utility in agriculture, ecology and hydrology. Based on the PROSAIL model, a novel model for quantitative inversion of vegetation canopy water content using Hyperion hyperspectral data was explored. Firstly, characteristics of vegetation canopy reflection were investigated with the PROSAIL radiative transfer model, and it was showed that the first derivative at the right slope (980 - 1 070 nm) of the 970 nm water absorption feature (D98-1 070) was closely related to VCWC, and determination coefficient reached to 0.96. Then, bands 983, 993, 1 003, 1 013, 1 023, 1 033, 1 043, 1 053 and 1 063 nm of Hyperion data were selected to calculate D980-1 070, and VCWC was estimated using the proposed method. Finally, the retrieval result was verified using field measured data in Yingke oasis of the Heihe basin. It indicated that the mean relative error was 12.5%, RMSE was within 0.1 kg x m(-2) and the proposed model was practical and reliable. This study provides a more efficient way for obtaining VCWC of large area.
authors.affiliation: College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China. songxn@gucas.ac.cn
authors.forename: Xiao-Ning
authors.initials: XN
authors.lastname: Song
authors.affiliation: College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
authors.forename: Jian-Wei
authors.initials: JW
authors.lastname: Ma
authors.affiliation: Remote Sensing Technology Application Center, China Institute of Water Resources and Hydropower Research, Beijing 100048, China.
authors.forename: Xiao-Tao
authors.initials: XT
authors.lastname: Li
authors.affiliation: Remote Sensing Technology Application Center, China Institute of Water Resources and Hydropower Research, Beijing 100048, China.
authors.forename: Pei
authors.initials: P
authors.lastname: Leng
authors.affiliation: Remote Sensing Technology Application Center, China Institute of Water Resources and Hydropower Research, Beijing 100048, China.
authors.forename: Fang-Cheng
authors.initials: FC
authors.lastname: Zhou
authors.affiliation: Remote Sensing Technology Application Center, China Institute of Water Resources and Hydropower Research, Beijing 100048, China.
authors.forename: Shuang
authors.initials: S
authors.lastname: Li
mesh_terms: D000383:Agriculture; D004784:Environmental Monitoring; D008962:Models, Theoretical; D010944:Plants; D012044:Regression Analysis; D013057:Spectrum Analysis; D014867:Water
chemical_list: D014867:Water