TY - JOUR
T1 - TRENDS ANALYSIS OF AGRICULTURAL DROUGHT IN CENTRAL ANATOLIAN BASIN, TURKEY
AU - Ergene, E. M.
AU - Bektaş Balçık, F.
AU - Balik Şanlı, F.
N1 - Publisher Copyright:
© Author(s) 2024.
PY - 2024/3/8
Y1 - 2024/3/8
N2 - 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.
AB - 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.
KW - Agricultural Drought
KW - MODIS
KW - Normalized Difference Drought Index
KW - Scaled Drought Condition Index
KW - Trend Analysis
UR - http://www.scopus.com/inward/record.url?scp=85187795443&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLVIII-4-W9-2024-141-2024
DO - 10.5194/isprs-archives-XLVIII-4-W9-2024-141-2024
M3 - Conference article
AN - SCOPUS:85187795443
SN - 1682-1750
VL - 48
SP - 141
EP - 148
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
IS - 4/W9-2024
T2 - 8th International Conference on GeoInformation Advances, GeoAdvances 2024
Y2 - 11 January 2024 through 12 January 2024
ER -