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Ergene E., Bektaş Balçık F., BALIK ŞANLI F.

8th International Conference on GeoInformation Advances, GeoAdvances 2024, İstanbul, Turkey, 11 - 12 January 2024, vol.48, pp.141-148 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 48
  • Doi Number: 10.5194/isprs-archives-xlviii-4-w9-2024-141-2024
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.141-148
  • Keywords: Agricultural Drought, MODIS, Normalized Difference Drought Index, Scaled Drought Condition Index, Trend Analysis
  • Yıldız Technical University Affiliated: Yes


Drought is a natural disaster that can have devastating economic, environmental, and social impacts on a global, national, and regional scale. Remote sensing technology is the most powerful tool to determine of drought categories and analyse drought severity, vulnerability and its trends. Because data that is temporal, quick, wide-area, and repeating can be obtained via remote sensing technologies. The calculation of drought indices with the use of remote sensing technology is crucial for assessing the severity of the drought and its evolution over time. In this study, the Central Anatolian Basin, one of Turkey's agricultural basins, was subjected to a temporal and spatial drought analysis between 2000 and 2023. In order to analyze the agricultural drought in the Central Anatolian Basin, drought indices such as Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Drought Index (NDDI), Vegetation Condition Index (VCI), Temperature condition index (TCI), Vegetation Health Index (VHI), Precipitation Condition Index (PCI), and Scaled Drought Condition Index (SDCI) were calculated. Moderate resolution Imaging Spectroradiometer (MODIS) data collection were used to calculate the NDVI, NDWI, NDDI VCI and TCI drought indices and PCI was calculated using the Climate Hazards Group Infrared Precipitation with Station CHIRPS data set. With the results obtained, the change in drought severity in the Central Anatolian Basin over the years was observed and drought severity, plant health status and surface temperature were compared. Additionally Temporal trend and Spatial trend of agricultural drought were determine using Sen’s slope and The Mann – Kendal non parametric test.