Monitoring Drought Using Spectral Drought Indices: A Case Study Canaan Forest Area, Diyala, Iraq
Drought determination is essential for many environmental and agricultural applications. To further understand drought, this study presented the spatio-temporal variations of drought based on the Landsat 8 index as a vegetation condition index (VCI)., vegetation health index (VHI), Thermal condition...
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University of Diyala
2024-12-01
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| Series: | مجلة ديالى للعلوم الزراعية |
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| Online Access: | https://journal.djas.uodiyala.edu.iq/index.php/dasj/article/view/9089 |
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| author | Ahmed Bahjat Khalaf Hussein Rahman Taha |
| author_facet | Ahmed Bahjat Khalaf Hussein Rahman Taha |
| author_sort | Ahmed Bahjat Khalaf |
| collection | DOAJ |
| description | Drought determination is essential for many environmental and agricultural applications. To further understand drought, this study presented the spatio-temporal variations of drought based on the Landsat 8 index as a vegetation condition index (VCI)., vegetation health index (VHI), Thermal condition index (TCI), Water Supply Vegetation Index (WSVI) and normalized vegetation indices (NDVI) in the Canaan forest (mana-made forest) area within the administrative boundaries of the Canaan district of Diyala Governorate for the years 2016, 2019 and 2023.The results showed a clear difference between the years of study in terms of the spatial distribution of drought degrees (very severe, severe, moderate, light and non-dry). The NDVI maps also showed that there is a clear decrease in the density and areas of vegetation cover in the study area due to drought, which requires taking the necessary precautions to reduce the negative effects of drought with the help of remote sensing techniques because they shorten time and cost. According to NDVI, the vegetation cover occupied an area of 7.438 km2 for the year 2016, while the area of 5.735 km2 was for 2023. The Extreme Drought class occupied an area of 44.180 km2 in 2016, while it was 44.250 km2 in 2023 according to the VCI. In general, the year 2023 was drier than the rest of the study years. |
| format | Article |
| id | doaj-art-6bc53c4cbcf94474aab29105b2362194 |
| institution | Kabale University |
| issn | 2073-9524 2310-8746 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | University of Diyala |
| record_format | Article |
| series | مجلة ديالى للعلوم الزراعية |
| spelling | doaj-art-6bc53c4cbcf94474aab29105b23621942025-01-05T10:05:02ZengUniversity of Diyalaمجلة ديالى للعلوم الزراعية2073-95242310-87462024-12-01162526910.52951/dasj.24160205Monitoring Drought Using Spectral Drought Indices: A Case Study Canaan Forest Area, Diyala, IraqAhmed Bahjat Khalaf0https://orcid.org/0000-0002-2506-4604Hussein Rahman Taha1https://orcid.org/0009-0006-0733-9252Department of Soil Sciences and Water Resources, College of Agriculture, University of Diyala, Iraq.Department of Horticulture and Landscape Gardening, College of Agriculture, University of Diyala, Iraq.Drought determination is essential for many environmental and agricultural applications. To further understand drought, this study presented the spatio-temporal variations of drought based on the Landsat 8 index as a vegetation condition index (VCI)., vegetation health index (VHI), Thermal condition index (TCI), Water Supply Vegetation Index (WSVI) and normalized vegetation indices (NDVI) in the Canaan forest (mana-made forest) area within the administrative boundaries of the Canaan district of Diyala Governorate for the years 2016, 2019 and 2023.The results showed a clear difference between the years of study in terms of the spatial distribution of drought degrees (very severe, severe, moderate, light and non-dry). The NDVI maps also showed that there is a clear decrease in the density and areas of vegetation cover in the study area due to drought, which requires taking the necessary precautions to reduce the negative effects of drought with the help of remote sensing techniques because they shorten time and cost. According to NDVI, the vegetation cover occupied an area of 7.438 km2 for the year 2016, while the area of 5.735 km2 was for 2023. The Extreme Drought class occupied an area of 44.180 km2 in 2016, while it was 44.250 km2 in 2023 according to the VCI. In general, the year 2023 was drier than the rest of the study years.https://journal.djas.uodiyala.edu.iq/index.php/dasj/article/view/9089droughtremote sensinglandsatvegetation indices. |
| spellingShingle | Ahmed Bahjat Khalaf Hussein Rahman Taha Monitoring Drought Using Spectral Drought Indices: A Case Study Canaan Forest Area, Diyala, Iraq مجلة ديالى للعلوم الزراعية drought remote sensing landsat vegetation indices. |
| title | Monitoring Drought Using Spectral Drought Indices: A Case Study Canaan Forest Area, Diyala, Iraq |
| title_full | Monitoring Drought Using Spectral Drought Indices: A Case Study Canaan Forest Area, Diyala, Iraq |
| title_fullStr | Monitoring Drought Using Spectral Drought Indices: A Case Study Canaan Forest Area, Diyala, Iraq |
| title_full_unstemmed | Monitoring Drought Using Spectral Drought Indices: A Case Study Canaan Forest Area, Diyala, Iraq |
| title_short | Monitoring Drought Using Spectral Drought Indices: A Case Study Canaan Forest Area, Diyala, Iraq |
| title_sort | monitoring drought using spectral drought indices a case study canaan forest area diyala iraq |
| topic | drought remote sensing landsat vegetation indices. |
| url | https://journal.djas.uodiyala.edu.iq/index.php/dasj/article/view/9089 |
| work_keys_str_mv | AT ahmedbahjatkhalaf monitoringdroughtusingspectraldroughtindicesacasestudycanaanforestareadiyalairaq AT husseinrahmantaha monitoringdroughtusingspectraldroughtindicesacasestudycanaanforestareadiyalairaq |