| タイトル | Evaluation of Radar Vegetation Indices for Vegetation Water Content Estimation Using Data from a Ground-Based SMAP Simulator |
| 本文（外部サイト） | http://hdl.handle.net/2060/20150023288 |
| 著者（英） | Cosh, Michael; O'Neill, Peggy; Joseph, Alicia; Srivastava, Prashant K.; Lang, Roger |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2015-07-26 |
| 言語 | eng |
| 内容記述 | Vegetation water content (VWC) is an important component of microwave soil moisture retrieval algorithms. This paper aims to estimate VWC using L band active and passive radar/radiometer datasets obtained from a NASA ground-based Soil Moisture Active Passive (SMAP) simulator known as ComRAD (Combined Radar/Radiometer). Several approaches to derive vegetation information from radar and radiometer data such as HH, HV, VV, Microwave Polarization Difference Index (MPDI), HH/VV ratio, HV/(HH+VV), HV/(HH+HV+VV) and Radar Vegetation Index (RVI) are tested for VWC estimation through a generalized linear model (GLM). The overall analysis indicates that HV radar backscattering could be used for VWC content estimation with highest performance followed by HH, VV, MPDI, RVI, and other ratios. |
| NASA分類 | Earth Resources and Remote Sensing |
| レポートNO | GSFC-E-DAA-TN24819 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
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