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首页> 外文会议>Remote Sensing for Agriculture, Ecosystems, and Hydrology >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：使用MODIS NDVI和陆地表面温度数据调查下湄公河盆地的农业干旱

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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：农业干旱通常是指短期内作物灌溉的缺水，由于土壤水分不足，为作物产量产生影响。这种现象被认为是湄公河下湄公河盆地（LMB）的稻农（LMB）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降低对水稻生产的不利影响的水分来说是重要的。本研究的主要目的是调查2008年至2010年的月度MODIS归一化差异植被指数（NDVI）和土地表面温度（LST）数据的适用性和地表温度（LST）数据进行干旱监测。该数据在干燥的季节加工，因为这一时期是通常遭受干旱。使用简单的温度植被差异指数（TVDI）来估算表面土壤水分含量。我们调查了初步TVDI结果与TRMM（热带降雨测量任务）降水之间的敏感性。结果显示了两个数据集之间的良好一致。在雨赛期间或之后，DVDI被拒绝，表明土壤水分含量更大，但后来再次增加，表明土壤含量较少。通过分析TVDI的结果表明，从11月到3月份的地区，中等和服务干旱在该地区分散，并在旱季（四月）结束时恢复正常情况，并随着雨季的发作。在泰国和柬埔寨的平原中发现了干旱更多的服务和广泛。与2010年相比，2008 - 2009年干燥季节特别观察到较大的服务区域。从本研究中取得的结果可用于作物灌溉调度。

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