首页> 外文会议>Asian conference on remote sensing;ACRS 2007 >RECENT DROUGHT IN NE THAILAND: REGIONAL VEGETATION DYNAMICS AND NDVI-RAINFALL RELATIONSHIPS
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RECENT DROUGHT IN NE THAILAND: REGIONAL VEGETATION DYNAMICS AND NDVI-RAINFALL RELATIONSHIPS

机译:泰国最近发生的干旱:区域植被动力学和NDVI-降雨关系

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Northeast Thailand is the driest region in Thailand with a severe drought problem persisting for more than a decade. The impact of the drought on economy, environment and social well being is widely recognized and reported upon. Despite the importance of monitoring drought, most of previous studies have focused on drought risk and database creation. Therefore, to improve knowledge on vegetation response to precipitation at regional scale for drought monitoring, the objectives of this study were to determine the relationships between satellite-derived NDVI and rainfall over NE Thailand region, and to investigate the overall vegetation dynamics and inter-annual responses. Seven years (2000-06) of MODIS 16-day composite NDVI at 250m resolution and seven years (2000-06) of precipitation data from over 300 stations were used in this study. Spatial rainfall and NDVI anomalies as well as time lag relationships between rainfall and NDVI were analyzed. Results showed downward trends in 7-year NDVI temporal profiles with negative anomalies in rice, crops, orchards, and deciduous forest. This suggests that the impact of drought on vegetation can be seen in satellite observations. We found strong relationships between rainfall and one-month lag NDVI over the region. More detailed studies on the seasonal dynamics and rainfall relationships for major land cover types i.e. rice, crops, and forests are needed to improve drought monitoring and impact assessments.
机译:泰国东北部是泰国最干旱的地区,严重的干旱问题持续了十多年。干旱对经济,环境和社会福祉的影响已得到广泛认可和报道。尽管监视干旱非常重要,但以前的大多数研究都集中在干旱风险和数据库创建上。因此,为了提高对区域尺度上降雨对植被响应的认识,以进行干旱监测,本研究的目的是确定泰国东北部地区卫星衍生的NDVI与降雨之间的关系,并调查整体植被动态和年际变化。回应。在这项研究中,使用了7年(2000-06)的MODIS 16天复合NDVI,分辨率为250m,以及7年(2000-06)的降水数据来自300多个站点。分析了空间降雨和NDVI异常,以及降雨与NDVI之间的时滞关系。结果显示,在7年NDVI时间剖面中呈下降趋势,在水稻,农作物,果园和落叶林中呈负异常。这表明在卫星观测中可以看到干旱对植被的影响。我们发现该地区降雨与一个月滞后NDVI之间存在密切关系。需要对主要土地覆盖类型即水稻,作物和森林的季节动态和降雨关系进行更详细的研究,以改善干旱监测和影响评估。

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