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王琦等:Gravimetric Vegetation Water Content Estimation for Corn Using L-Band Bi-Angular, Dual-Polarized Brightness Temperatures and Leaf Area Index

作者:来源:发布时间:2015-10-16
Gravimetric Vegetation Water Content Estimation for Corn Using L-Band Bi-Angular, Dual-Polarized Brightness Temperatures and Leaf Area Index
作者:Wang, Q (Wang, Qi)[ 1,2 ] ; Chai, LN (Chai, Linna)[ 1,2 ] ; Zhao, SJ (Zhao, Shaojie)[ 1,2 ] ; Zhang, ZJ (Zhang, Zhongjun)[ 3 ]
REMOTE SENSING
卷: 7  期: 8  页: 10543-10561
DOI: 10.3390/rs70810543
出版年: AUG 2015
摘要
In this study, an algorithm to retrieve the gravimetric vegetation water content (GVWC, %) of corn was developed. First, the method for obtaining the optical depth from L-band (1.4 GHz) bi-angular, dual-polarized brightness temperatures (TB) for short vegetation was investigated. Then, the quantitative relationship between the corn optical depth, corn GVWC and corn leaf area index (LAI) was constructed. Finally, using the Polarimetric L-band Microwave Radiometer (PLMR) airborne data in the 2012 Heihe Watershed Allied Telemetry Experimental Research (HiWATER) project, the Global Land Surface Satellite (GLASS) LAI product, the height and areal density of the corn stalks, the corn GVWC was estimated (corn GLASS-GVWC). Both the in situ measured corn GVWC and the corn GVWC retrieved based on the in situ measured corn LAI (corn LAINET-GVWC) were used to validate the accuracy of the corn GLASS-GVWC. The results show that the GVWC retrieval method proposed in this study is feasible for monitoring the corn GVWC. However, the accuracy of the retrieval results is highly sensitive to the accuracy of the LAI input parameters.
通讯作者地址: Chai, LN (通讯作者)
Beijing Normal Univ, State Key Lab Remote Sensing Sci, Res Ctr Remote Sensing & GIS, Beijing 100875, Peoples R China.
地址:
[ 1 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Res Ctr Remote Sensing & GIS, Beijing 100875, Peoples R China
[ 2 ] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China
[ 3 ] Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China
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