Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/193661
Title: Estimating Vegetation Water Content of Corn and Soybean Using Different Polarization Ratios Based on L- and S-Band Radar Data
Authors: Jianwei Ma;Shifeng Huang;Jiren Li;Xiaotao Li;Xiaoning Song;Pei Leng;Yayong Sun
Year: 2017
Publisher: IEEE
Abstract: Vegetation water content (VWC) is an important parameter of agriculture and forestry. In this letter, specific polarization ratios were evaluated for estimating VWC of corn and soybean. Backscattering coefficients (&x03C3;<sub>hh</sub>, &x03C3;<sub>vv</sub>, &x03C3;<sub>vh</sub> and &x03C3;<sub>hv</sub>), polarization ratios (&x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub>,&x03C3;<sub>vv</sub>/&x03C3;<sub>vh</sub>, and &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub>), and the radar vegetation index derived from L-band (1.26 GHz) and S-band (3.15 GHz) radar data of the passive and active Land S-band sensor (PALS) in Soil Moisture Experiments 2002 were implemented to develop various linear relationship models with field VWC measurements for corn and soybean, respectively. L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub> was found to be most correlated with corn VWC (R = 0.81), while for soybean, L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub> was the best parameter to estimate VWC with an R of 0.90. Based upon these analyses, prediction equations for the estimation of corn and soybean VWC using the polarization ratios were developed. Results indicated that L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub> was able to estimate corn VWC with a root mean square error (RMSE) of 0.53 kg/m<sup>2</sup> and a mean absolute relative error (MARE) of 11.48%. As for soybean, L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub> was capable of estimating soybean VWC with an RMSE of 0.12 kg/m<sup>2</sup> and an MARE of 13.33%. The main reason for these differences is most likely due to the disparate structure features and VWC distribution of corn and soybean. This letter proposes an effective method for acquiring VWC in regional areas, and it is also considered to be a powerful supplement for the current methods based on optical remotely sensed data.
URI: http://localhost/handle/Hannan/193661
volume: 14
issue: 3
More Information: 364,
368
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7829380.pdf7.15 MBAdobe PDF
Title: Estimating Vegetation Water Content of Corn and Soybean Using Different Polarization Ratios Based on L- and S-Band Radar Data
Authors: Jianwei Ma;Shifeng Huang;Jiren Li;Xiaotao Li;Xiaoning Song;Pei Leng;Yayong Sun
Year: 2017
Publisher: IEEE
Abstract: Vegetation water content (VWC) is an important parameter of agriculture and forestry. In this letter, specific polarization ratios were evaluated for estimating VWC of corn and soybean. Backscattering coefficients (&x03C3;<sub>hh</sub>, &x03C3;<sub>vv</sub>, &x03C3;<sub>vh</sub> and &x03C3;<sub>hv</sub>), polarization ratios (&x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub>,&x03C3;<sub>vv</sub>/&x03C3;<sub>vh</sub>, and &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub>), and the radar vegetation index derived from L-band (1.26 GHz) and S-band (3.15 GHz) radar data of the passive and active Land S-band sensor (PALS) in Soil Moisture Experiments 2002 were implemented to develop various linear relationship models with field VWC measurements for corn and soybean, respectively. L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub> was found to be most correlated with corn VWC (R = 0.81), while for soybean, L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub> was the best parameter to estimate VWC with an R of 0.90. Based upon these analyses, prediction equations for the estimation of corn and soybean VWC using the polarization ratios were developed. Results indicated that L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub> was able to estimate corn VWC with a root mean square error (RMSE) of 0.53 kg/m<sup>2</sup> and a mean absolute relative error (MARE) of 11.48%. As for soybean, L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub> was capable of estimating soybean VWC with an RMSE of 0.12 kg/m<sup>2</sup> and an MARE of 13.33%. The main reason for these differences is most likely due to the disparate structure features and VWC distribution of corn and soybean. This letter proposes an effective method for acquiring VWC in regional areas, and it is also considered to be a powerful supplement for the current methods based on optical remotely sensed data.
URI: http://localhost/handle/Hannan/193661
volume: 14
issue: 3
More Information: 364,
368
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7829380.pdf7.15 MBAdobe PDF
Title: Estimating Vegetation Water Content of Corn and Soybean Using Different Polarization Ratios Based on L- and S-Band Radar Data
Authors: Jianwei Ma;Shifeng Huang;Jiren Li;Xiaotao Li;Xiaoning Song;Pei Leng;Yayong Sun
Year: 2017
Publisher: IEEE
Abstract: Vegetation water content (VWC) is an important parameter of agriculture and forestry. In this letter, specific polarization ratios were evaluated for estimating VWC of corn and soybean. Backscattering coefficients (&x03C3;<sub>hh</sub>, &x03C3;<sub>vv</sub>, &x03C3;<sub>vh</sub> and &x03C3;<sub>hv</sub>), polarization ratios (&x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub>,&x03C3;<sub>vv</sub>/&x03C3;<sub>vh</sub>, and &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub>), and the radar vegetation index derived from L-band (1.26 GHz) and S-band (3.15 GHz) radar data of the passive and active Land S-band sensor (PALS) in Soil Moisture Experiments 2002 were implemented to develop various linear relationship models with field VWC measurements for corn and soybean, respectively. L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub> was found to be most correlated with corn VWC (R = 0.81), while for soybean, L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub> was the best parameter to estimate VWC with an R of 0.90. Based upon these analyses, prediction equations for the estimation of corn and soybean VWC using the polarization ratios were developed. Results indicated that L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>vv</sub> was able to estimate corn VWC with a root mean square error (RMSE) of 0.53 kg/m<sup>2</sup> and a mean absolute relative error (MARE) of 11.48%. As for soybean, L-band &x03C3;<sub>hh</sub>/&x03C3;<sub>hv</sub> was capable of estimating soybean VWC with an RMSE of 0.12 kg/m<sup>2</sup> and an MARE of 13.33%. The main reason for these differences is most likely due to the disparate structure features and VWC distribution of corn and soybean. This letter proposes an effective method for acquiring VWC in regional areas, and it is also considered to be a powerful supplement for the current methods based on optical remotely sensed data.
URI: http://localhost/handle/Hannan/193661
volume: 14
issue: 3
More Information: 364,
368
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7829380.pdf7.15 MBAdobe PDF