Remote Sensing Applications and Decision Support

Effective vegetation optical depth retrieval using microwave vegetation indices from WindSat data for short vegetation

[+] Author Affiliations
Yunqing Li

Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, CAS Olympic S&T Park No.20 Da Tun Road, Chao Yang, P.O. Box 9718, Beijing 100101, China

University of Chinese Academy of Sciences, Beijing 100049, China

Jiancheng Shi, Tianjie Zhao

Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, State Key Laboratory of Remote Sensing Science, CAS Olympic S&T Park No.20 Da Tun Road, Chao Yang, P.O. Box 9718, Beijing 100101, China

Joint Center for Global Change Studies, Beijing 100875, China

J. Appl. Remote Sens. 9(1), 096003 (Oct 06, 2015). doi:10.1117/1.JRS.9.096003
History: Received March 8, 2015; Accepted September 2, 2015
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Topics

Vegetation

Citation

Yunqing Li ; Jiancheng Shi and Tianjie Zhao
"Effective vegetation optical depth retrieval using microwave vegetation indices from WindSat data for short vegetation", J. Appl. Remote Sens. 9(1), 096003 (Oct 06, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.096003


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