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Rice Crop Monitoring in South China With RADARSAT-2 Quad-Polarization SAR Data

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TLDR
Preliminary results of an attempt to monitor rice crop growth using RADARSAT-2 quad polarization synthetic aperture radar (SAR) data show that an HV or VH image backscattering coefficient exhibits the best correlation with rice age after transplantation.
Abstract
This letter presents preliminary results of an attempt to monitor rice crop growth using RADARSAT-2 quad polarization synthetic aperture radar (SAR) data. Three RADARSAT-2 quad-polarization SAR images are collected from transplanting to rice crop harvesting. Ground truth data, such as rice height and biomass, are measured during RADARSAT-2 data acquisition in Hainan Province, South China. The correlation between backscattering coefficient and rice growth parameters is analyzed, and then, a rice field mapping method with quad polarization SAR image is developed. Experiments show that an HV or VH image backscattering coefficient exhibits the best correlation with rice age after transplantation. Furthermore, the HV or VH image is also more suitable for retrieving rice growth parameters, such as rice height and dry biomass, for FQ4 RADARSAT-2 SAR data. The ratio image of HH/VV possesses high separability required to distinguish rice crop from banana, forest, and river. Results indicate that RADARSAT-2 quad polarization SAR data presented enormous potential for monitoring rice crop growth.

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Citations
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Journal ArticleDOI

Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics

Kazuo Ouchi
- 05 Feb 2013 - 
TL;DR: A short review is presented on the recent trend and development of SAR and related techniques with selected topics, including the fields of applications, specifications of airborne and spaceborne SARs, and information contents in and interpretations of amplitude data, interferometric SAR (InSar) data, and polarimetric SAR (PolSAR) data.
Journal ArticleDOI

Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data

TL;DR: This study demonstrated that the improved algorithm by using both thermal and optical MODIS data, provides a robust, simple and automated approach to identify and map paddy rice fields in temperate and cold temperate zones, the northern frontier of rice planting.
Journal ArticleDOI

Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery

TL;DR: In this article, the authors developed a simple algorithm for accurate mapping of rubber plantations in northern tropical regions, by combining a forest map derived from microwave data and unique phenological characteristics of rubber trees observed from multi-temporal Landsat imagery.
Journal ArticleDOI

Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015.

TL;DR: It is found that China experienced a general decrease in paddy rice planting area with a rate of 0.72 million (m) ha/yr from 2000 to 2015, while a significant increase at a rate to 0.27mha/yr for the same time period happened in India.
Journal ArticleDOI

Rice monitoring with multi-temporal and dual-polarimetric TerraSAR-X data

TL;DR: Correlation analysis showed a significant relationship with different vertical layers at different phenological stages which prove the physical interpretation of X-band backscatter of rice.
References
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Journal ArticleDOI

An entropy based classification scheme for land applications of polarimetric SAR

TL;DR: The authors outline a new scheme for parameterizing polarimetric scattering problems that relies on an eigenvalue analysis of the coherency matrix and employs a three-level Bernoulli statistical model to generate estimates of the average target scattering matrix parameters from the data.
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Adaptive speckle filters and scene heterogeneity

TL;DR: The most well known adaptive filters for speckle reduction are analyzed and it is shown that they are based on a test related to the local coefficient of variation of the observed image, which describes the scene heterogeneity.
Journal ArticleDOI

Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results

TL;DR: The results appear promising for the use of ERS-1 and RADARSAT data for rice monitoring and a method for rice fields mapping has been developed, based on the temporal variation of the radar response between two acquisition dates.
Journal ArticleDOI

Rice monitoring and production estimation using multitemporal RADARSAT

TL;DR: In this article, the authors presented the results of a study examining the backscatter behavior of rice as a function of time using multitemporal RADARSAT data acquired in 1996 and 1997.
Journal ArticleDOI

Monitoring of the Rice Cropping System in the Mekong Delta Using ENVISAT/ASAR Dual Polarization Data

TL;DR: This paper assesses the use of the HH/VV polarization ratio derived from Advanced SAR (ASAR) data from ENVISAT data for the production of rice paddy maps and confirms that HH/ VV can be used as classifier and point out the need for relevant speckle filtering prior to classification.
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