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首页> 外文会议>Asian conference on remote sensing;ACRS >Using MODIS-NDVI and Climatic Variables for Drought Assessment and Monitoring in Pakistan and Adjoining South Asian Countries
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Using MODIS-NDVI and Climatic Variables for Drought Assessment and Monitoring in Pakistan and Adjoining South Asian Countries

机译：利用MODIS-NDVI和气候变量在巴基斯坦和邻国南亚国家进行干旱评估和监测

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摘要

The normalized difference vegetation index (NDVI) has proven to be usually engaged to assess terrestrial vegetation conditions. Spatial and temporal rainfall distribution and its effect on NDVI can be useful for drought monitoring. To better understand this relationship, time series NDVI during (Jan - Dec) 2014 for every three month interval in Pakistan and adjoining South Asian countries were analyzed. We also obtained and analyzed time series of different variable i.e. rainfall, soil moisture, evapotranspiration and soil temperature data with the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Goddard Earth Sciences Data and Information Services Center (GES DISC) online data analysis system Giovanni to assess NDVI and other climatic variables from Jan- Dec, during the year 2014. NDVI time series maps and data are based on the maximum value compositing monthly product by NASA GES DISC. Rainfall anomaly data is obtained from the NOAA Climate Prediction Center from International Research institute (IRI) for climate and society's platform. We found that NDVI values varies and depend on land cover types and its spatial location. We also found a strong positive relationship among NDVI, rainfall and soil moisture. Seasonal variation of rainfall also affects on evapotranspiration, soil temperature, and soil moisture.
机译：事实证明，通常使用归一化差异植被指数（NDVI）来评估陆地植被状况。时空降雨分布及其对NDVI的影响可用于干旱监测。为了更好地理解这种关系，我们分析了巴基斯坦和邻国南亚国家在2014年（1月至12月）每三个月的时间间隔NDVI。我们还使用中等分辨率成像光谱仪（MODIS）和戈达德地球科学数据和信息服务中心（GES DISC）在线数据分析系统Giovanni获得并分析了不同变量的时间序列，即降雨，土壤湿度，蒸散量和土壤温度数据以评估2014年1月至12月的NDVI和其他气候变量。NDVI时间序列图和数据基于NASA GES DISC合成月度产品的最大值。降雨异常数据是从国际研究所（IRI）的NOAA气候预测中心获得的，用于气候和社会平台。我们发现NDVI值会变化，并且取决于土地覆盖类型及其空间位置。我们还发现NDVI，降雨量和土壤湿度之间存在很强的正相关关系。降雨的季节性变化也会影响蒸散量，土壤温度和土壤湿度。

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