
Journal of Applied Remote Sensing
Effective vegetation optical depth retrieval using microwave vegetation indices from WindSat data for short vegetationFormat | Member Price | Non-Member Price |
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Paper Abstract
Vegetation optical depth (VOD) and effective vegetation optical depth (EVOD) are key factors for estimating soil moisture and vegetation parameters. Microwave vegetation indices (MVIs, including A and B parameters) have been recently developed for short-vegetation covered surfaces. The MVIs parameter B (MVIs_B) is mainly related to vegetation conditions, which makes it provide a potential way of EVOD retrieval. A theoretical expression deriving EVOD was deduced using MVIs_B from WindSat data. Global patterns of EVOD were analyzed subsequently. It has been shown that EVOD retrieved from MVIs performed a consistent global pattern and seasonal variation with normalized difference vegetation index. Time-series data from the Central Tibetan Plateau Soil Moisture/Temperature Monitoring Network, which is grassland dominated, was selected for temporal analysis. It was found that the temporal EVOD from WindSat MVIs can capture the growth trend of vegetation. Comparisons between EVOD estimations from MVIs and a radiative transfer model were also performed over this network. It was found that EVOD from the two methods exhibited comparable values and similar trends. MVIs_B-derived EVOD can be obtained without any other auxiliary data and has great potential in land-surface parameter retrieval over short-vegetation covered areas.
Paper Details
Date Published: 6 October 2015
PDF: 14 pages
J. Appl. Rem. Sens. 9(1) 096003 doi: 10.1117/1.JRS.9.096003
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
PDF: 14 pages
J. Appl. Rem. Sens. 9(1) 096003 doi: 10.1117/1.JRS.9.096003
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Yunqing Li, Institute of Remote Sensing and Digital Earth (China)
Univ. of Chinese Academy of Sciences (China)
Jiancheng Shi, Institute of Remote Sensing and Digital Earth (China)
Joint Ctr. for Global Change Studies (China)
Univ. of Chinese Academy of Sciences (China)
Jiancheng Shi, Institute of Remote Sensing and Digital Earth (China)
Joint Ctr. for Global Change Studies (China)
Tianjie Zhao, Institute of Remote Sensing and Digital Earth (China)
Joint Ctr. for Global Change Studies (China)
Joint Ctr. for Global Change Studies (China)
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