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首页> 外文会议>2012 IEEE International Geoscience amp; Remote Sensing Symposium. >Using MODIS imagery to estimate the damage of rainfed rice in northeastern Thailand
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Using MODIS imagery to estimate the damage of rainfed rice in northeastern Thailand

机译：使用MODIS影像估算泰国东北部雨养稻米的危害

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摘要

Northeastern Thailand is one of the representative rainfed lowland rice agriculture areas in Asia, where rice yield is limited due to unstable rainfall and poor soil. The area of rainfed lowland rice in northeast Thailand is approximately 5.27 million hectares, representing 57% of rice-growing area of the country. Heavy monsoon rainfall over central and northern Thailand began in July 2011 and lasted until October, causing a great impact on national agriculture. Huge tracts of farmland are submerged, threatening the annual rice crop. The objective of this paper is to assess the damage of regional rainfed rice after severe floods by using MODIS Surface Reflectance 8-Day L3 Global 250 m (MOD09Q1) and 500 m (MOD09A1). During the rice flooding period, Land Surface Water Index (LSWI) values are increased and even become higher than vegetation indices (Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI)). For this reason, the rice flooding period is a crucial indicator to identify the rice. The algorithm for mapping rice paddy uses time-series MODIS retrievals to identify the rice paddy in northeastern Thailand. The result indicates that the MODIS-derived rice evaluations are useful for obtaining spatial distribution maps of rice on a large-scale region.
机译：泰国东北部是亚洲代表性的雨养低地稻米农业地区之一，由于降雨不稳定和土壤贫瘠，稻米产量受到限制。泰国东北部的雨养低地水稻面积约为527万公顷，占该国水稻种植面积的57％。泰国中部和北部的季风大雨始于2011年7月，一直持续到10月，对国家农业产生了重大影响。大量的农田被淹没，威胁着每年的水稻收成。本文的目的是通过使用MODIS表面反射8天L3全球250 m（MOD09Q1）和500 m（MOD09A1）来评估严重洪灾后区域雨养水稻的危害。在水稻泛滥时期，地表水指数（LSWI）值会增加甚至变得高于植被指数（归一化植被指数（NDVI）和增强植被指数（EVI））。因此，稻米淹没期是识别稻米的关键指标。稻米作图算法使用时间序列MODIS检索来识别泰国东北部的稻田。结果表明，基于MODIS的水稻评估对于获得大范围区域内水稻的空间分布图很有用。

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