Estimation of the rice yield in the Mekong Delta using dual polarisation TerraSAR-X data
Estimation of the rice yield in the Mekong Delta using dual polarisation TerraSAR-X data
复制标题
使用双偏振 TerraSAR-X 数据估算湄公河三角洲的水稻产量
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
C. V. Phung
中科院分区：
文献类型：
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作者：
L. Nguyen;H. Phung;J. Huth;C. V. Phung
由于亚洲许多地区人口的快速增长以及气候变化的影响，粮食安全目前已成为一个关键的全球问题。因此，有必要开发一种能够准确评估水稻种植面积和水稻产量的时空监测系统。世界上许多国家，特别是越南的湄公河三角洲，已经观察到水稻种植系统的变化。文化习俗的变化对为监测水稻而开发的遥感方法，特别是使用新一代雷达数据的方法产生了影响。本研究的目的是利用新一代时间序列合成孔径雷达（SAR）图像估计水稻产量。2010年，在湄公河三角洲安江省进行了水稻作物参数的田间数据收集和现场测量。从作物季节拍摄的TerraSAR-X StripMap （TSX SM）图像中提取与采样场对应的雷达后向散射系数平均值。分析了水稻的时间反向散射行为，包括HH（水平发射和水平接收）、VV（垂直发射和垂直接收）和极化比数据。在水稻产量估算中，基于多元线性回归分析(1)的预测模型在原位实测产量与极化比之间具有良好的相关性。将TerraSAR-X数据估计的水稻产量与2010年秋-冬Cho Moi作物的政府统计数据进行比较，发现准确性很高。因此，它被证明是估计研究区水稻产量的潜在工具。
Food security has currently become a key global issue due to rapid population growth in many parts of Asia, as well as the effects of climate change. For this reason, there is a need to develop a spatio-temporal monitoring system that can accurately assess rice area planted and rice production. Changes in rice cultivation systems have been observed in various countries of the world, especially in the Mekong Delta, Vietnam. The changes in cultural practices have impacts on remote sensing methods developed for rice monitoring, in particular, methods using new generation radar data. The objective of the study was to estimate the rice yield using new generation time-series Synthetic Aperture Radar (SAR) imagery. Field data collection and in situ measurement of rice crop parameters were conducted in An Giang province, Mekong Delta in 2010. The average values of the radar backscattering coefficients that corresponded to the sampling fields were extracted from the TerraSAR-X StripMap (TSX SM) images taken during a crop season. The temporal rice backscatter behaviour was analysed for HH (Horizontal transmit and Horizontal receive), VV (Vertical transmit and Vertical receive), and polarisation ratio data. For rice yield estimation, the predictive model based on multiple linear regression analysis (1) between in situ measured yields and polarisation ratios attained good correlation. The high accuracy was found when the rice production estimated from TerraSAR-X data was compared to the government statistics in Autumn Winter 2010 crop at Cho Moi. Thus, it proved to be a potential tool for estimating rice production in the study area.