...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Remote Sensing & GIS >Investigate The Sensitivity Of The Satellite-Based Agricultural Drought Indices To Monitor The Drought Condition Of Paddy And Introduction To Enhanced Multi-Temporal Agricultural Drought Indices
【24h】

Investigate The Sensitivity Of The Satellite-Based Agricultural Drought Indices To Monitor The Drought Condition Of Paddy And Introduction To Enhanced Multi-Temporal Agricultural Drought Indices

机译：探讨卫星的农业干旱指数的敏感性，监测稻田的干旱状况及增强型多颞农业干旱指标

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A growing number of Earth Observation sensors provide useful information to monitor the crop condition fromspace. NDVI is the most popular vegetation index and it represents the photosynthetic capacity of vegetation. Thenumber of agricultural drought indices calculates by comparing the NDVI of time of observation with the Long termNDVI values and called as “multi-temporal agricultural drought indices” in this study. Some are developed using onlythe data of the time of observation and no time-series data required, therefore called “non-temporal agriculturaldrought indices”. This study analyzed multi-temporal and non-temporal drought indices calculated using NDVI,Normalized Difference Water Index (NDWI), and Land Surface Temperature (LST). These indices utilize not only tomonitor agricultural droughts but monitor the crop condition also. Freely available 19 years MODIS satellite data(MOD13Q1 and MOD11A2) were used to calculate them and discussed the sensitivity of the indices for themonitoring of agricultural droughts and crop conditions in the rain-fed dry zone paddy agriculture in Sri Lanka. Forthat, the Relationship of all variables with Climate Hazards Group Infrared Precipitation with Station data (chirps),rainfall anomaly, and Standardized Precipitation Index (SPI) were analyzed. This study observed that the NDWIAnomaly and Vegetation water condition Index (VWCI) shows a considerable relationship with SPI and rainfall.Also, this study identified that the false drought conditions can be seen in multi-temporal drought indices, due to thechanges of the time of the start of the season and suggested a method to overcome such errors in heavily dynamicclimatic areas. The new approach is called “Enhanced multi-temporal agricultural drought indices”.
机译：越来越多的地球观测传感器提供了有用的信息来监控裁剪条件的距离。 NDVI是最受欢迎的植被指数，它代表了植被的光合能力。随后的农业干旱指数通过比较观察时间与长期DVI值的时间来计算，并称为本研究中的“多颞农业干旱指标”。有些是仅使用观察时间和所需时间序列数据的数据来开发的，因此称为“非颞性农业索引”。该研究分析了使用NDVI，归一化差异水指数（NDWI）和陆地温度（LST）计算的多时间和非颞滴索引。这些指数不仅利用了可测量的农业干旱，而是监测作物状况。自由可用19年MODIS卫星数据（MOD13Q1和MOD11A2）用于计算它们，并讨论了斯里兰卡雨喂养干燥区水稻农业的农业干旱和作物条件的主题索引的敏感性。突然出现了气候危害集团红外降水与站数据（啁啾），降雨异常和标准化降水指数（SPI）的关系的关系。该研究观察到Ndwianomaly和植被水分指数（VWCI）显示了与SPI和Rainfall的相当大的关系。该研究发现，由于TheChanges的时间，在多颞干旱指数中可以看到假干旱条件赛季的开始并建议一种克服大量动态区域中这种错误的方法。新方法称为“增强的多颞农业干旱指标”。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号