Special Section on Remote Sensing and Sensor Networks for Promoting Agro-Geoinformatics, Part 2

Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion

[+] Author Affiliations
Nengcheng Chen

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Luoyu Road 129, Wuhan 430079, China

Wuhan University, Collaborative Innovation Center of Geospatial Technology, Luoyu Road 129, Wuhan 430079, China

Jizhen Li

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Luoyu Road 129, Wuhan 430079, China

Xiang Zhang

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Luoyu Road 129, Wuhan 430079, China

J. Appl. Remote Sens. 9(1), 097097 (Jan 14, 2015). doi:10.1117/1.JRS.9.097097
History: Received August 7, 2014; Accepted December 17, 2014
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Abstract.  Currently, many satellite data are used to invert soil moisture. However, there is no study about quantitative evaluation of observation capability of GF-1 wide field of view (WFV) sensors for soil moisture inversion. Therefore, we proposed a method to evaluate it. We used WFV, Landsat8 Operational Land Imager (OLI), and Moderate-resolution Imaging Spectroradiometer (MODIS) data to invert soil moistures in Wuhan from September 2013 to September 2014 based on the Perpendicular Drought Index (PDI) and modified PDI (MPDI). From the estimated results, the R2 values, and standard error, we found that both the PDI and MPDI had a significantly negative linear correlation with soil moisture (P<0.01). Through the values of R, mean absolute error, mean relative error, and root mean square error, we found that a strong relativity existed between the estimated and observed soil moistures. It was evident from the results for the WFV, OLI, and MODIS that the performances of WFV and OLI were consistent and that WFV performed better than MODIS. All the results indicated that WFV sensors had a high observation capability for soil moisture inversion in Wuhan. The comprehensive evaluation results for the performance of the PDI and MPDI proved that the MPDI performed better for soil moisture inversion than did the PDI.

© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Nengcheng Chen ; Jizhen Li and Xiang Zhang
"Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion", J. Appl. Remote Sens. 9(1), 097097 (Jan 14, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.097097


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