Monitoring cotton crop condition through synergy of optical and radar remote sensing

被引：8

作者：

Haldar, Dipanwita ^{[1
]}

Tripathy, Rojalin ^{[2
]}

Dave, Viral ^{[3
]}

Dave, Rucha ^{[3
]}

Bhattacharya, B. K. ^{[2
]}

Misra, Arundhati ^{[2
]}

机构：

[1] Indian Space Res Org ISRO, Indian Inst Remote Sensing, Dehra Dun, India

[2] Indian Space Res Org ISRO, Space Applicat Ctr, Ahmadabad, Gujarat, India

[3] Anand Agr Univ, Dept Basic Sci & Humanities, Anand, Gujarat, India

来源：

GEOCARTO INTERNATIONAL | 2022年 / 37卷 / 02期

关键词：

SAR remote sensing; VI; RVI; RISAT-1; cotton biophysical parameters; fresh and dry biomass; Vegetation water content; VEGETATION WATER-CONTENT; PARAMETER-ESTIMATION; BIOMASS; BACKSCATTERING; INDEX; RETRIEVAL; FIELD; RICE; RED;

D O I：

10.1080/10106049.2020.1726506

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Synergistic use of Optical and Microwave remotely sensed data for cotton condition based on biophysical traits, indices from ground measurements and satellite derived reflectance were assessed. Regression models derived for estimating LAI, biomass and VWC using ground based indices were applied to satellite products. LAI, biomass and VWC of cotton with optical VIs as input (R-2= 0.42, 0.51 and 0.52) respectively were estimated. Correlation between RVI and plant height, crop age and VWC were found between 0.4 and 0.6. Fresh biomass from RVI ranged 100 -4000 gm(-2), dry biomass from NDVI ranged 50-950 gm(-2) and VWC 65-85%. Correlation between VIs and RVI was found to be non- significant. A multiple linear regression model using NDVI vs. LSWI and RVI were developed to assess LAI, biomass and VWC. The model predicted LAI with R-2 of 0.5 but failed to estimate biomass and VWC.

引用

页码：377 / 395

页数：19

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