Dergiler / Teknik Dergi / 2021 / Cilt: 32 - Sayı: 4

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

Sayfa
10995–11011
Yayın Tarihi
2021-07-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Result of the work pointed that NDVI index is more appropriated to the Asi Basin than the VCI index to monitor drought.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Climate change and global warming are among the issues that humanity is most concerned about the future.
📊
Temel Bulgular & Veri: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.
💡
Sonuç & Katkı:Result of the work pointed that NDVI index is more appropriated to the Asi Basin than the VCI index to monitor drought.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Remote sensing · drought index · NDVI

Özet

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 km2 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.

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 km2 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.

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Bu Makaleye Atıf Yap

DİKİCİ, M., AKSEL, M. (2021). Evaluation of Two Vegetation Indices (NDVI and VCI) Over Asi Basin in Turkey. Teknik Dergi, Cilt: 32 - Sayı: 4, 10995–11011. https://ajindex.com/articles/219414

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Kaynakça (14)

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