Monitoring of agricultural drought in Turkey with remote sensing data by use of Google Earth Engine

被引:0
|
作者
Gul, Gulay Onusluel [1 ]
机构
[1] Dokuz Eylul Univ, İnsaat Muhendisligi Bolumu, Muhendislik Fak, Izmir, Turkiye
关键词
Drought; Remote sensing; Google Earth Engine (GEE); Temperature condition index (TCI); Vegetation condition index (VCI); Vegetation health index (VHI); UNITED-STATES; TEMPERATURE; IMPACT; NDVI;
D O I
10.5505/pajes.2023.41762
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Studies on drought, which can have quite complex and devastating effects due to a number of interrelated factors, are developing continuously in order to eliminate the consequences of such a natural disaster and even further to facilitate actions for taking timely measures. This study, which is carried out in this holistic framework, is based upon the temporal and spatial assessment of drought phenomenon on the Google Earth Engine (GEE) platform through the use of remotely -sensed data. For this purpose, Temperature Condition Index (TCI), Vegetation Condition Index (VCI) and Vegetation Health Index (VHI) were calculated both for the recent period (2018-2021) and the previous periods (the years 2002, 2005, 2010 and 2015) examined through July and January months and the agricultural drought situation was revealed in this way.
引用
收藏
页码:66 / 75
页数:10
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