title: [Progress in retrieving vegetation water content under different vegetation coverage condition based on remote sensing spectral information].
abstract: The present paper reviews the progress in the methods of retrieving vegetation water content using remote sensing spectral information, including vegetation spectral reflectance information (VIR, SWIR, and NIR) to directly extract vegetation water content and establish vegetation water indices (WI), i. e. NDWI = (R860 - R1 240)/(R860 + R1 240) and PWI = R970/R900; and using radiation transfer (RT) model such as PROSPAIL to detect plant water content information. The authors analyze the method of retrieving vegetation water content under low crop coverage condition. The plant water can be estimated by using canopy physiological parameters firstly, and using vegetation indices and radiation transfer model secondly, which can eliminate soil background effect. The estimated agricultural drought and vegetation water content by using multi-angle polarized reflectance and bi-directional reflectance (BRDF) was discussed in this paper. In the end, the possible development trend of retrieval methods for plant water information under plant low coverage conditions was discussed.
authors: Laboratory for Remote Sensing and Climate Information Sciences, Chinese Academy of Meteorological Sciences, Beijing 100081, China. zhangjh@cams.cma.gov.cn
authors: Jia-Hua
authors: JH
authors: Zhang
authors: Li
authors: L
authors: Li
authors: Feng-Mei
authors: FM
authors: Yao
mesh_terms: D000383:Agriculture; D055864:Droughts; D008962:Models, Theoretical; D018515:Plant Leaves; D010944:Plants; D058998:Remote Sensing Technology; D012987:Soil; D014867:Water / Q000032:analysis*
chemical_list: D012987:Soil; D014867:Water