Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka
For Sri Lanka, as an agricultural country, a methodical drought monitoring mechanism, including spatial and temporal variations, may significantly contribute to its agricultural sustainability. Investigating long-term meteorological and agricultural drought occurrences in Sri Lanka and assessing dro...
| Autores principales: | , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/117851 |
| _version_ | 1855532335656599552 |
|---|---|
| author | Alahacoon, Niranga Edirisinghe, M. Ranagalage, M. |
| author_browse | Alahacoon, Niranga Edirisinghe, M. Ranagalage, M. |
| author_facet | Alahacoon, Niranga Edirisinghe, M. Ranagalage, M. |
| author_sort | Alahacoon, Niranga |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | For Sri Lanka, as an agricultural country, a methodical drought monitoring mechanism, including spatial and temporal variations, may significantly contribute to its agricultural sustainability. Investigating long-term meteorological and agricultural drought occurrences in Sri Lanka and assessing drought hazard at the district level are the main objectives of the study. Standardized Precipitation Index (SPI), Rainfall Anomaly Index (RAI), and Vegetation Health Index (VHI) were used as drought indicators to investigate the spatial and temporal distribution of agriculture and meteorological droughts. Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data from 1989 to 2019 was used to calculate SPI and RAI. MOD13A1 and MOD11A2 data from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2001 to 2019, were used to generate the Vegetation Condition Index (VCI) and Temperature Condition Index (TCI). Agricultural drought monitoring was done using VHI and generated using the spatial integration of VCI and TCI. Thus, various spatial data analysis techniques were extensively employed for vector and raster data integration and analysis. A methodology has been developed for the drought declaration of the country using the VHI-derived drought area percentage. Accordingly, for a particular year, if the country-wide annual extreme and severe drought area percentage based on VHI drought classes is =30%, it can be declared as a drought year. Moreover, administrative districts of Sri Lanka were classified into four hazard classes, No drought, Low drought, Moderate drought, and High drought, using the natural-beak classification scheme for both agricultural and meteorological droughts. The findings of this study can be used effectively by the relevant decision-makers for drought risk management (DRM), resilience, sustainable agriculture, and policymaking. |
| format | Journal Article |
| id | CGSpace117851 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1178512024-06-26T10:09:22Z Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka Alahacoon, Niranga Edirisinghe, M. Ranagalage, M. drought monitoring sustainable agriculture weather hazards precipitation rain temperature monsoons spatial analysis remote sensing satellite observation vegetation index moderate resolution imaging spectroradiometer For Sri Lanka, as an agricultural country, a methodical drought monitoring mechanism, including spatial and temporal variations, may significantly contribute to its agricultural sustainability. Investigating long-term meteorological and agricultural drought occurrences in Sri Lanka and assessing drought hazard at the district level are the main objectives of the study. Standardized Precipitation Index (SPI), Rainfall Anomaly Index (RAI), and Vegetation Health Index (VHI) were used as drought indicators to investigate the spatial and temporal distribution of agriculture and meteorological droughts. Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data from 1989 to 2019 was used to calculate SPI and RAI. MOD13A1 and MOD11A2 data from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2001 to 2019, were used to generate the Vegetation Condition Index (VCI) and Temperature Condition Index (TCI). Agricultural drought monitoring was done using VHI and generated using the spatial integration of VCI and TCI. Thus, various spatial data analysis techniques were extensively employed for vector and raster data integration and analysis. A methodology has been developed for the drought declaration of the country using the VHI-derived drought area percentage. Accordingly, for a particular year, if the country-wide annual extreme and severe drought area percentage based on VHI drought classes is =30%, it can be declared as a drought year. Moreover, administrative districts of Sri Lanka were classified into four hazard classes, No drought, Low drought, Moderate drought, and High drought, using the natural-beak classification scheme for both agricultural and meteorological droughts. The findings of this study can be used effectively by the relevant decision-makers for drought risk management (DRM), resilience, sustainable agriculture, and policymaking. 2021-03-19 2022-01-31T17:13:15Z 2022-01-31T17:13:15Z Journal Article https://hdl.handle.net/10568/117851 en Open Access MDPI Alahacoon, Niranga; Edirisinghe, M.; Ranagalage, M. 2021. Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka. Sustainability, 13(6):3427. [doi: https://doi.org/10.3390/su13063427] |
| spellingShingle | drought monitoring sustainable agriculture weather hazards precipitation rain temperature monsoons spatial analysis remote sensing satellite observation vegetation index moderate resolution imaging spectroradiometer Alahacoon, Niranga Edirisinghe, M. Ranagalage, M. Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka |
| title | Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka |
| title_full | Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka |
| title_fullStr | Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka |
| title_full_unstemmed | Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka |
| title_short | Satellite-based meteorological and agricultural drought monitoring for agricultural sustainability in Sri Lanka |
| title_sort | satellite based meteorological and agricultural drought monitoring for agricultural sustainability in sri lanka |
| topic | drought monitoring sustainable agriculture weather hazards precipitation rain temperature monsoons spatial analysis remote sensing satellite observation vegetation index moderate resolution imaging spectroradiometer |
| url | https://hdl.handle.net/10568/117851 |
| work_keys_str_mv | AT alahacoonniranga satellitebasedmeteorologicalandagriculturaldroughtmonitoringforagriculturalsustainabilityinsrilanka AT edirisinghem satellitebasedmeteorologicalandagriculturaldroughtmonitoringforagriculturalsustainabilityinsrilanka AT ranagalagem satellitebasedmeteorologicalandagriculturaldroughtmonitoringforagriculturalsustainabilityinsrilanka |