VEGETATION MONITORING USING A NEW DUAL-POL RADAR VEGETATION INDEX: A PRELIMINARY STUDY WITH SIMULATED NASA-ISRO SAR (NISAR) L-BAND DATA

被引：1

作者：

Mandal, Dipankar ^{[1
]}

Bhogapurapu, Narayana Rao ^{[1
]}

Kumar, Vineet ^{[1
,2
]}

Dey, Subhadip ^{[1
]}

Ratha, Debanshu ^{[1
]}

Bhattacharya, Avik ^{[1
]}

Lopez-Sanchez, Juan M. ^{[3
]}

McNairn, Heather ^{[4
]}

Rao, Y. S. ^{[1
]}

机构：

[1] Indian Inst Technol, Ctr Studies Resources Engn, Microwave Remote Sensing Lab, Mumbai, Maharashtra, India

[2] Delft Univ Technol, Dept Water Resources, Delft, Netherlands

[3] Univ Alicante, Inst Comp Res, Alicante, Spain

[4] Agr & Agri Food Canada, Ottawa Res & Dev Ctr, Ottawa, ON, Canada

来源：

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年

关键词：

vegetation index; NISAR; crop; UAVSAR;

D O I：

10.1109/IGARSS39084.2020.9324157

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, we propose a new vegetation index (DpRVI) for dual polarimetric synthetic aperture radar (SAR) data. The evaluation of this new index is performed with a particular attention towards the preparation of the NASA-ISRO SAR (NISAR) L-band system science objective. The proposed vegetation index is derived for two dual-pol (HH-HV and VV-VH) modes obtained through a simulation from L-band full-pol UAVSAR data. Time-series simulated NISAR data are obtained from the UAVSAR data acquired during the SMAPVEX12 campaign over the CAL/VAL test site in Winnipeg (Canada), to assess the proposed vegetation index. The temporal trend of DpRVI follows the growth stages of canola with a promising correlation of DpRVI with several biophysical variables. Correlation analysis indicates that DpRVI derived for VV-VH mode correlates better with the canola biophysical parameters than the HH-HV mode.

引用

页码：4870 / 4873

页数：4