Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data
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http://hdl.handle.net/10045/100008
Títol: | Assessment of rice growth conditions in a semi-arid region of India using the Generalized Radar Vegetation Index derived from RADARSAT-2 polarimetric SAR data |
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Autors: | Mandal, Dipankar | Kumar, Vineet | Ratha, Debanshu | Lopez-Sanchez, Juan M. | Bhattacharya, Avik | McNairn, Heather | Rao, Yalamanchili S. | Ramana, K.V. |
Grups d'investigació o GITE: | Señales, Sistemas y Telecomunicación |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal |
Paraules clau: | Rice | GRVI | SAR polarimetry | Direct seeded rice | RVI |
Àrees de coneixement: | Teoría de la Señal y Comunicaciones |
Data de publicació: | de febrer-2020 |
Editor: | Elsevier |
Citació bibliogràfica: | Remote Sensing of Environment. 2020, 237: 111561. doi:10.1016/j.rse.2019.111561 |
Resum: | Rice growth monitoring using Synthetic Aperture Radar (SAR) is recognized as a promising approach for tracking the development of this important crop. Accurate spatio-temporal information of rice inventories is required for water resource management, production risk occurrence, and yield forecasting. This research investigates the potential of the proposed Generalized volume scattering model based Radar Vegetation Index (GRVI) for monitoring rice growth at different phenological stages. The GRVI is derived using the concept of a geodesic distance (GD) between Kennaugh matrices projected on a unit sphere. We utilized this concept of GD to quantify a similarity measure between the observed Kennaugh matrix (representation of observed Polarimetric SAR information) and the Kennaugh matrix of a generalized volume scattering model (a realization of scattering media). The similarity measure is then modulated with a factor estimated from the ratio of the minimum to the maximum GD between the observed Kennaugh matrix and the set of elementary targets: trihedral, cylinder, dihedral, and narrow dihedral. In this work, we utilize a time series of C-band quad-pol RADARSAT-2 observations over a semi-arid region in Vijayawada, India. Among the several rice cultivation practices adopted in this region, we analyze the growth stages of direct seeded rice (DSR) and conventional tansplanted rice (TR) with the GRVI and crop biophysical parameters viz., Plant Area Index – PAI. The GRVI is compared for both rice types against the Radar Vegetation Index (RVI) proposed by Kim and van Zyl. A temporal analysis of the GRVI with crop biophysical parameters at different phenological stages confirms its trend with the plant growth stages. Also, the linear regression analysis confirms that the GRVI outperforms RVI with significant correlations with PAI (r ≥ 0.83 for both DSR and TR). In addition, PAI estimations from GRVI show promising retrieval accuracy with Root Mean Square Error (RMSE) <1.05m2 m−2 and Mean Absolute Error (MAE) <0.85m2 m−2. |
Patrocinadors: | This work was partially supported by the Spanish Ministry of Science, Innovation and Universities, the State Research Agency (AEI) and the European Fund for Regional Development (EFRD) under project TEC2017-85244-C2-1-P. |
URI: | http://hdl.handle.net/10045/100008 |
ISSN: | 0034-4257 (Print) | 1879-0704 (Online) |
DOI: | 10.1016/j.rse.2019.111561 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © 2019 Elsevier Inc. |
Revisió científica: | si |
Versió de l'editor: | https://doi.org/10.1016/j.rse.2019.111561 |
Apareix a la col·lecció: | INV - SST - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2020_Mandal_etal_RemoteSensingEnvironm_final.pdf | Versión final (acceso restringido) | 9,55 MB | Adobe PDF | Obrir Sol·licitar una còpia |
2020_Mandal_etal_RemoteSensingEnvironm_preprint.pdf | Preprint (acceso abierto) | 11,31 MB | Adobe PDF | Obrir Vista prèvia |
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