Evaluation of Two Vegetation Indices (NDVI and VCI) Over Asi Basin in Turkey

Abstract

Climate change and global warming are among the issues that humanity is most concerned about the future. The growing drought and flood risks that increase despite the taken measures have led to the adoption of an integrated understanding on the topic of water management in recent years. To manage the increased risk of drought and to make sustainable planning, the dimensions of drought should be known first. For this purpose, many drought indices have been developed. The Normalized Difference Vegetation Index (NDVI) and Vegetation Condition Index (VCI), which determined by remote sensing, are two of these. In this study, in which the agricultural drought was analyzed with vegetation indices by taking into consideration the historical drought archive, the Asi Basin was addressed. The data of the Asi Basin, which covers an area of 7800 km 2 and was obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Very High-Resolution Radiometer (AVHRR) satellites, was used in this study. With the satellites benefited in remote sensing and with the Coordination of Information on the Environment (CORINE), where the layers of vegetation were determined, agricultural and forest areas were evaluated separately. The vegetation indices, which change with the increase in temperature, have revealed the necessity of a long-term drought management for the Asi Basin. Result of the work pointed that NDVI index is more appropriated to the Asi Basin than the VCI index to monitor drought.

Drought analysis for the Seyhan Basin with NDVI and VCI vegetation indices

“…The study in which the vegetation index was associated with precipitation (Şahin et al, 2009) showed a correlation between the data obtained from the precipitation stations in different regions of Turkey and the NDVI data. Similar studies performed with data for rainfall monitoring stations in Turkey and compliance with the drought indices data were discussed (Dikici, 2013, Dikici & Aksel, 2021. NDVI is one of the vegetation indices that is quite widely used in forest classi cation and agricultural studies as well as in the detection of the change in land cover.…”

Establishment of a Comprehensive Drought Monitoring Index Based on Multisource Remote Sensing Data and Agricultural Drought Monitoring

“…The impact of agricultural drought on crops is difficult to detect directly by NDVI [36], [37]. The VCI calculated based on NDVI can monitor local differences in ecosystem productivity [21].…”

Monitoring and Assessment of Agricultural Drought Based on Solar-Induced Chlorophyll Fluorescence During Growing Season in North China Plain

“…Many remote sensing-based drought indices have been established, and NVDI is the most widely used [45]- [48]. Besides, Vegetation Condition Index (VCI) calculated based on NDVI has also been applied to global and regional agricultural drought monitoring [49]- [52]. Different values of VCI represents different drought conditions.…”

“…VCI can be used as an index for agricultural drought monitoring [49]- [52]. After the agricultural area was extracted, the monthly average SIF index and VCI value of agricultural area from 2000 to 2017 were calculated.…”