MONITORING WHEAT CROP GROWTH USING A NEW VEGETATION INDEX FROM SENTINEL-1 GRD SAR DATA

被引：1
作者：
Bhogapurapu, Narayanarao [1 ]
Dey, Subhadip [1 ]
Mandal, Dipankar [1 ]
Bhanacharyal, Avik [1 ]
Rao, Y. S. [1 ]
机构：
[1] Indian Inst Technol, Ctr Studies Resources Engn, Microwaye Remote Sensing Lab, Mumbai 400076, Maharashtra, India
来源：
2021 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM IGARSS | 2021年
关键词：
Vegetation Index; Biomass; PAI; SAR; Ground Range Detected (GRD); wheat; POLARIZATION;
D O I：
10.1109/IGARSS47720.2021.9554351
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Accurate and high-resolution spatio-temporal information on wheat growth is an essential factor for agronomic management and grain yield estimation. In this study, we propose a new vegetation descriptor from the Sentinel-1 Synthetic Aperture Radar (SAR) GRD data for monitoring the growth stages of wheat. We also assess the performance of the proposed vegetation descriptor for estimating wheat biophysical parameters: Plant Area Index (PAI), Dry Biomass (DB), and Vegetation Water Content (VWC) over the Soil Moisture Active Passive Validation Experiment 2016 (SMAPVEX16-MB) test site in Manitoba, Canada. The proposed vegetation descriptor produced good correlation (R-2) with the biophysical parameters of wheat: 0.63 (PAI), 0.64 (DB), and 0.57 (VWC) compared to sigma(VH)degrees/sigma(VV)degrees and the dual-pol Radar Vegetation Index (RVI).
引用
收藏
页码：5921 / 5924
页数：4
相关论文
共 10 条
[1]   DEGREE OF POLARIZATION AND PRINCIPAL IDEMPOTENTS OF COHERENCY MATRIX [J].
BARAKAT, R .
OPTICS COMMUNICATIONS, 1977, 23 (02) :147-150
[2]   Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data [J].
Canisius, Francis ;
Shang, Jiali ;
Liu, Jiangui ;
Huang, Xiaodong ;
Ma, Baoluo ;
Jiao, Xianfeng ;
Geng, Xiaoyuan ;
Kovacs, John M. ;
Walters, Dan .
REMOTE SENSING OF ENVIRONMENT, 2018, 210 :508-518
[3]   A Time-Series Approach to Estimate Soil Moisture Using Polarimetric Radar Data [J].
Kim, Yunjin ;
van Zyl, Jakob J. .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (08) :2519-2527
[4]  
M. B. Agriculture, 2016, AGR PROV MAN
[5]   Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data [J].
Mandal, Dipankar ;
Kumar, Vineet ;
Ratha, Debanshu ;
Dey, Subhadip ;
Bhattacharya, Avik ;
Lopez-Sanchez, Juan M. ;
McNairn, Heather ;
Rao, Yalamanchili S. .
REMOTE SENSING OF ENVIRONMENT, 2020, 247
[6]  
McNairn H., 2016, EXPT PLAN SMAP VALID
[7]   Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories [J].
McNairn, Heather ;
Champagne, Catherine ;
Shang, Jiali ;
Holmstrom, Delmar ;
Reichert, Gordon .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2009, 64 (05) :434-449
[8]   Sensitivity Analysis of Multi-Temporal Sentinel-1 SAR Parameters to Crop Height and Canopy Coverage [J].
Nasirzadehdizaji, Rouhollah ;
Sanli, Fusun Balik ;
Abdikan, Saygin ;
Cakir, Ziyadin ;
Sekertekin, Aliihsan ;
Ustuner, Mustafa .
APPLIED SCIENCES-BASEL, 2019, 9 (04)
[9]  
Trudel M, 2012, CAN J REMOTE SENS, V38, P514
[10]   Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications [J].
Veloso, Amanda ;
Mermoz, Stephane ;
Bouvet, Alexandre ;
Thuy Le Toan ;
Planells, Milena ;
Dejoux, Jean-Francois ;
Ceschia, Eric .
REMOTE SENSING OF ENVIRONMENT, 2017, 199 :415-426
1