Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Block diagram of the proposed method for quantitatively evaluating the observation capability. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Sketch map of near-infrared (NIR)–Red space and Perpendicular Drought Index (PDI). 4 Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. The location of the study area in China. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. The flowchart of the experiment. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Soil line extraction in NIR–Red space using GF-1 wide field of view (WFV) sensors data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Soil line extraction in NIR–Red space using Landsat8 Operational Land Imager (OLI) data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Soil line extraction in NIR–Red space using Moderate-resolution Imaging Spectroradiometer (MODIS) data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Relationship models between the PDI and soil moisture based on GF-1 WFV sensor data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Relationship models between the modified PDI (MPDI) and soil moisture based on GF-1 WFV sensor data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Relationship models between the PDI and soil moisture based on Landsat8 OLI data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Relationship models between the MPDI and soil moisture based on Landsat8 OLI data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Relationship models between the PDI and soil moisture based on MODIS data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Relationship models between the MPDI and soil moisture based on MODIS data. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. The soil moisture thematic maps based on GF-1 WFV sensor data with the MPDI. (a) October 01, (b) November 15, (c) January 19, (d) January 23, (e) March 17, (f) May 01, (g) June 03, (h) June 07, (i) July 30, Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Validation of linear relationship models of GF-1 WFV sensors based on the PDI and MPDI. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Validation of linear relationship models of Landsat8 OLI based on the PDI and MPDI. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS
Date of download: 7/6/2016 Copyright © 2016 SPIE. All rights reserved. Validation of linear relationship models of MODIS based on the PDI and MPDI. Figure Legend: From: Quantitative evaluation of observation capability of GF-1 wide field of view sensors for soil moisture inversion J. Appl. Remote Sens. 2015;9(1): doi: /1.JRS