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Remote Sens. 2015, 7(3), 3114-3137; doi:10.3390/rs70303114

Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
Joint Center for Global Change Studies, Beijing 100875, China
College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China
College of Resource Environment and Tourism, Capital Normal University, Beijing100048, China
School of Geography, Beijing Normal University, Beijing 100875, China
This author has been deceased.
Author to whom correspondence should be addressed.
Academic Editors: Xin Li, Nicolas Baghdadi and Prasad S. Thenkabail
Received: 2 November 2014 / Accepted: 9 March 2015 / Published: 18 March 2015
View Full-Text   |   Download PDF [70172 KB, uploaded 18 March 2015]   |  


High spatial resolution airborne data with little sub-pixel heterogeneity were used to evaluate the suitability of the temperature/vegetation (Ts/VI) space method developed from satellite observations, and were explored to improve the performance of the Ts/VI space method for estimating soil moisture (SM). An evaluation of the airborne ΔTs/Fr space (incorporated with air temperature) revealed that normalized difference vegetation index (NDVI) saturation and disturbed pixels were hindering the appropriate construction of the space. The non-disturbed ΔTs/Fr space, which was modified by adjusting the NDVI saturation and eliminating the disturbed pixels, was clearly correlated with the measured SM. The SM estimations of the non-disturbed ΔTs/Fr space using the evaporative fraction (EF) and temperature vegetation dryness index (TVDI) were validated by using the SM measured at a depth of 4 cm, which was determined according to the land surface types. The validation results show that the EF approach provides superior estimates with a lower RMSE (0.023 m3·m−3) value and a higher correlation coefficient (0.68) than the TVDI. The application of the airborne ΔTs/Fr space shows that the two modifications proposed in this study strengthen the link between the ΔTs/Fr space and SM, which is important for improving the precision of the remote sensing Ts/VI space method for monitoring SM. View Full-Text
Keywords: soil moisture; temperature vegetation dryness index; evaporative fraction; CASI; TASI soil moisture; temperature vegetation dryness index; evaporative fraction; CASI; TASI

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Fan, L.; Xiao, Q.; Wen, J.; Liu, Q.; Tang, Y.; You, D.; Wang, H.; Gong, Z.; Li, X. Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture. Remote Sens. 2015, 7, 3114-3137.

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