Remote Sensing | |
Gravimetric Vegetation Water Content Estimation for Corn Using L-Band Bi-Angular, Dual-Polarized Brightness Temperatures and Leaf Area Index | |
Qi Wang3  Linna Chai3  Shaojie Zhao3  Zhongjun Zhang1  Xin Li2  Clement Atzberger2  | |
[1] College of Information Science and Technology, Beijing Normal University, Beijing 100875, China; E-Mail:State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China;;State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China; E-Mails: | |
关键词: passive microwave; L-band; gravimetric vegetation water content (GVWC); optical depth; leaf area index (LAI); corn; | |
DOI : 10.3390/rs70810543 | |
来源: mdpi | |
【 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
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
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RO202003190007759ZK.pdf | 1490KB | download |