Assessing the degree of flood damage to rice crops in the Chao Phraya delta, Thailand, using MODIS satellite imaging
Assessing the degree of flood damage to rice crops in the Chao Phraya delta, Thailand, using MODIS satellite imaging
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DOI：
10.1007/s10333-015-0496-9
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发表时间：
2016-02
影响因子：
2.2
通讯作者：
A. Kotera;T. Nagano;P. Hanittinan;S. Koontanakulvong
中科院分区：
文献类型：
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作者：
A. Kotera;T. Nagano;P. Hanittinan;S. Koontanakulvong
泰国的湄南河三角洲是大米的主要产区。它经常遭受大洪水事件，这可能导致大范围的作物歉收，最近一次记录是在2011年和2006年。这些地区的洪灾损失程度通常通过实地调查进行评估。在这项研究中，我们利用中分辨率成像光谱仪卫星图像，调查了2000-2011年间湄南河三角洲水稻生产遭受洪灾的空间范围。我们研究了从时间序列增强型植被指数(EVI)估计的收获时间和根据时间序列陆地地表水指数和EVI估计的洪水开始之间的时间关系。2011年严重洪灾期间，湄南河三角洲9个省的稻米受灾总面积估计为79,189公顷，其中估计总受灾面积为41,410公顷。2011年湄南河东岸的水灾尤为严重，我们发现，尽管淹没时间较长，但2006年遭受洪灾的稻田大多在2011年没有遭受类似的破坏。对这12年期间的分析表明，很少有地区反复遭受损害，这突出表明成功地进行了适应，以避免损害。这项研究中提出的利用高时间分辨率成像评估农业洪灾损失的新方法被证明是一种很有前途的农学洪灾损失评估工具，它使快速调查能够从大范围和长期角度提供有价值的结果。
The Chao Phraya delta in Thailand is a major rice production area. It is often subject to large flooding events, which may result in widespread crop failures, as most recently recorded in 2011 and 2006. The extent of flood damage in such areas is commonly assessed by field surveys. In this study, we investigate the spatial extent of flood damage to rice production in the Chao Phraya delta from 2000 to 2011 using moderate resolution imaging spectroradiometer satellite images. We examine the temporal relationship between the harvest time, estimated from the time-series enhanced vegetation index (EVI), and the onset of inundation, estimated from the time-series land surface-water index and EVI. The total area of rice damage throughout nine provinces in the Chao Phraya delta during the severe flood in 2011 was estimated to be 79,189 ha, of which 41,410 ha was estimated as total damage. The damage in 2011 was particularly severe on the eastern side of the Chao Phraya River, and we found that most of the paddy fields that experienced flood damage in 2006 did not experience similar damage in 2011, despite the longer inundation period. Analysis over this 12-year period showed that there were few areas that were repeatedly subjected to damage, highlighting successful adaptations to avoid damage. This novel approach to agronomic flood-damage assessment using high temporal resolution imaging proposed in this study proved to be a promising tool for agronomic flood-damage assessments, which enable quick investigations providing valuable findings from wide area and long-term perspectives.