Centre for Water Resources Development and Management, Kozhikode, Kerala, India.
Centre for Water Resources Development and Management, Kozhikode, Kerala, India.
J Environ Manage. 2015 Sep 15;161:453-459. doi: 10.1016/j.jenvman.2014.12.040. Epub 2015 Jan 2.
Application of geospatial technology is very shimmering in drought monitoring. Drought severity in crops for six northern districts of Kerala has been attempted using Geospatial Techniques. Normalized Difference Vegetation Index (NDVI) is the major parameter used to measure vegetation health obtained from MODIS, Terra satellite products MOD13Q1, MOD02QKM. The mean Normalized Difference Vegetation Index (NDVI) of Kerala state over 13 years was calculated. The daily anomalies of NDVI from its long term mean NDVI over the same period was determined based on which drought risk classification was done. High negative NDVI anomaly areas are susceptible to drought and the severity of drought risk on each crop can be identified using Land Use/Land Cover data. Overlaying daily NDVI Anomaly based drought risk map on land use/land cover map gives the drought risk for different crops. Based on this, a web application has been developed for Northern districts of Kerala state in India. This web application can be used to plan for drought management measures and can also serve as a database for drought analysis.
地理空间技术在干旱监测中应用广泛。利用地理空间技术，对喀拉拉邦北部六个地区的作物旱情进行了尝试。归一化植被指数（NDVI）是衡量植被健康的主要参数，它来自 MODIS、Terra 卫星产品 MOD13Q1 和 MOD02QKM。计算了喀拉拉邦 13 年来的平均归一化植被指数（NDVI）。根据长期平均 NDVI 的每日异常值，确定了干旱风险分类。高负 NDVI 异常地区易受干旱影响，可利用土地利用/土地覆盖数据确定每种作物的干旱风险程度。将基于每日 NDVI 异常的干旱风险图叠加在土地利用/土地覆盖图上，可以为不同作物提供干旱风险信息。在此基础上，为印度喀拉拉邦北部地区开发了一个网络应用程序。该网络应用程序可用于规划干旱管理措施，也可作为干旱分析数据库使用。
