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首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIII >Investigating agro-drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data
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Investigating agro-drought in the Lower Mekong Basin using MODIS NDVI and land surface temperature data

机译：利用MODIS NDVI和地表温度数据调查湄公河下游流域的农业干旱

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Agro-drought usually refers to the shortage of water for crop irrigation in a short period, creating serve impacts on crop production due to insufficient soil moisture. This phenomenon has been considered as a challenge for rice farmers in the Lower Mekong Basin (LMB), especially in the dry season (from November to April). Thus, information on agro-drought is important for water scheduling to mitigate adverse impacts on rice production. The main objective of this study is to investigate the applicability of the monthly MODIS normalized difference vegetation index (NDVI) and land surface temperature (LST) data for drought monitoring from 2008 to 2010. The data was processed for the dry season because this period is usually suffered from droughts. A simple temperature vegetation difference index (TVDI) was used to estimate the surface soil moisture content. We investigated the sensitivity between the preliminary TVDI results and TRMM (Tropical Rainfall Measuring Mission) precipitation. The results revealed good agreement between the two datasets. TVDI was declined during or after rain events indicating greater soil moisture content, but increased again later indicating less soil moisture content. The results by analysis of TVDI showed that the moderate and serve droughts were spatially scattered over the region from November to March and returned to normal condition by the end of the dry season (April) with the onset of rainy season. The drought was found more serve and extensive in plains of Thailand and Cambodia. The larger area of serve drought was especially observed for the 2008-2009 dry seasons compared to 2010. The results achieved from this study could be useful for crop irrigation scheduling.
机译：农业干旱通常指的是短期内用于作物灌溉的水的短缺，由于土壤水分不足，对作物的生产产生了影响。这种现象被认为是湄公河下游地区（LMB）稻农的挑战，特别是在旱季（11月至4月）。因此，有关农业干旱的信息对于水调度以减轻对水稻生产的不利影响很重要。本研究的主要目的是调查MODIS归一化差异植被指数（NDVI）和地表温度（LST）每月数据在2008年至2010年干旱监测中的适用性。通常遭受干旱。使用简单的温度植被差异指数（TVDI）估算表层土壤水分含量。我们调查了TVDI初步结果与TRMM（热带雨量测量任务）降水之间的敏感性。结果表明两个数据集之间具有良好的一致性。在降雨期间或之后，TVDI下降，表明土壤水分含量较高，但随后又增加，表明土壤水分含量较低。 TVDI分析结果表明，11月至3月该地区的中度干旱和干旱干旱在空间上散布，到雨季开始时的旱季（4月）结束时恢复正常。发现干旱在泰国和柬埔寨的平原上更为广泛和广泛。与2010年相比，特别是在2008年至2009年的旱季，观测到更大范围的服务干旱。这项研究获得的结果可能对作物灌溉计划很有用。

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