A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale
This study reports a comprehensive review on drought indices used in monitoring meteorological, agricultural, hydrological, and socio-economic drought. Drought indices have been introduced as an important approach to quantitative and qualitative calculations of drought’s severity and impact. There w...
| Autores principales: | , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Informa UK Limited
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/119429 |
| _version_ | 1855527121440473088 |
|---|---|
| author | Alahacoon, Niranga Edirisinghe, M. |
| author_browse | Alahacoon, Niranga Edirisinghe, M. |
| author_facet | Alahacoon, Niranga Edirisinghe, M. |
| author_sort | Alahacoon, Niranga |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study reports a comprehensive review on drought indices used in monitoring meteorological, agricultural, hydrological, and socio-economic drought. Drought indices have been introduced as an important approach to quantitative and qualitative calculations of drought’s severity and impact. There were 111 drought indices reviewed in this study, which fall into two categories: traditional (location-specific/model) and remote sensing (RS). Out of 111 indices, 44 belong to the traditional indices and 67 belong to the RS section. This study shows that meteorological drought monitoring has the highest number (22) of traditional indices, about 20% overall, while the lowest (7) agricultural drought monitoring is 6.3%. The specialty is that when considering remote sensing-based drought indices, 90% are used for agricultural drought monitoring and 10% for hydrological and meteorological drought monitoring. However, the study found that advances in satellite technology have accelerated the design of new drought indices and that replacing traditional location-specific data with satellite observation makes it easier to calculate more spatial distribution and resolution. |
| format | Journal Article |
| id | CGSpace119429 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace1194292024-06-26T11:43:30Z A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale Alahacoon, Niranga Edirisinghe, M. drought assessment remote sensing monitoring forecasting evapotranspiration precipitation temperature soil moisture satellite imagery socioeconomic aspects indicators models This study reports a comprehensive review on drought indices used in monitoring meteorological, agricultural, hydrological, and socio-economic drought. Drought indices have been introduced as an important approach to quantitative and qualitative calculations of drought’s severity and impact. There were 111 drought indices reviewed in this study, which fall into two categories: traditional (location-specific/model) and remote sensing (RS). Out of 111 indices, 44 belong to the traditional indices and 67 belong to the RS section. This study shows that meteorological drought monitoring has the highest number (22) of traditional indices, about 20% overall, while the lowest (7) agricultural drought monitoring is 6.3%. The specialty is that when considering remote sensing-based drought indices, 90% are used for agricultural drought monitoring and 10% for hydrological and meteorological drought monitoring. However, the study found that advances in satellite technology have accelerated the design of new drought indices and that replacing traditional location-specific data with satellite observation makes it easier to calculate more spatial distribution and resolution. 2022-12-31 2022-04-30T23:23:08Z 2022-04-30T23:23:08Z Journal Article https://hdl.handle.net/10568/119429 en Open Access Informa UK Limited Alahacoon, Niranga; Edirisinghe, M. 2022. A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale. Geomatics, Natural Hazards and Risk, 13(1):762-799. [doi: https://doi.org/10.1080/19475705.2022.2044394] |
| spellingShingle | drought assessment remote sensing monitoring forecasting evapotranspiration precipitation temperature soil moisture satellite imagery socioeconomic aspects indicators models Alahacoon, Niranga Edirisinghe, M. A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale |
| title | A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale |
| title_full | A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale |
| title_fullStr | A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale |
| title_full_unstemmed | A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale |
| title_short | A comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale |
| title_sort | comprehensive assessment of remote sensing and traditional based drought monitoring indices at global and regional scale |
| topic | drought assessment remote sensing monitoring forecasting evapotranspiration precipitation temperature soil moisture satellite imagery socioeconomic aspects indicators models |
| url | https://hdl.handle.net/10568/119429 |
| work_keys_str_mv | AT alahacoonniranga acomprehensiveassessmentofremotesensingandtraditionalbaseddroughtmonitoringindicesatglobalandregionalscale AT edirisinghem acomprehensiveassessmentofremotesensingandtraditionalbaseddroughtmonitoringindicesatglobalandregionalscale AT alahacoonniranga comprehensiveassessmentofremotesensingandtraditionalbaseddroughtmonitoringindicesatglobalandregionalscale AT edirisinghem comprehensiveassessmentofremotesensingandtraditionalbaseddroughtmonitoringindicesatglobalandregionalscale |