Evaluating coastal agroecological dynamics using Landsat-derived vegetation and environmental indices embedded in Decision Support System and Monitoring Tools: insights from Guyana towards achieving SDGs
Abstract Coastal agroecological zones are vital for ensuring ecological stability, food security, and economic resilience. However, these zones face escalating threats from climate change, including salinity intrusion, vegetation degradation, and disruptions to hydrological processes. This study eva...
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Springer
2025-05-01
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| Series: | Discover Sustainability |
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| Online Access: | https://doi.org/10.1007/s43621-025-01203-y |
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| author | Esan Ayeni Hamer Temitope D. Timothy Oyedotun Gordon A. Nedd |
| author_facet | Esan Ayeni Hamer Temitope D. Timothy Oyedotun Gordon A. Nedd |
| author_sort | Esan Ayeni Hamer |
| collection | DOAJ |
| description | Abstract Coastal agroecological zones are vital for ensuring ecological stability, food security, and economic resilience. However, these zones face escalating threats from climate change, including salinity intrusion, vegetation degradation, and disruptions to hydrological processes. This study evaluates the dynamics of vegetation health, soil salinity, and water availability within Guyana’s coastal agroecological zones using multi-temporal Landsat 8 imagery, spectral indices such as the Enhanced Vegetation Index (EVI), Modified Soil-Adjusted Vegetation Index (MSAVI), Normalized Difference Salinity Index (NDSI), and Normalized Difference Water Index (NDWI), and a customised Decision Support System (DSS) for environmental monitoring and planning. Spanning 2015–2023, the sample application analysis focuses on the Mahaica-Berbice region (Region 5) of Guyana, a critical rice-farming area, to identify spatial and temporal trends, assess climate impacts on biogeochemical cycles, and provide actionable insights. This study integrates Google Earth Engine (GEE) for scalable geospatial analysis and a DSS that synthesises environmental indices into interactive, actionable formats for policymakers. The DSS offers an innovative platform for monitoring agroecological dynamics, identifying vulnerable zones, and guiding adaptive management strategies. Results reveal substantial annual variations in vegetation health, salinity, and water content, emphasising climate-induced vulnerabilities and their implications for carbon and nitrogen cycling. These findings emphasise the importance of sustainable resource management strategies and reinforce resilience against climate-induced challenges. The study directly supports the United Nations Sustainable Development Goals (SDGs), including SDG 2 (Zero Hunger) by advancing sustainable agriculture, SDG 13 (Climate Action) by fostering adaptive climate strategies, and SDG 15 (Life on Land) by promoting biodiversity conservation and ecosystem health. By combining remote sensing, DSS innovation, and environmental monitoring tools, this research offers a replicable, evidence-based framework to balance development and ecological sustainability in vulnerable coastal landscapes. It demonstrates the critical role of integrated technologies in shaping climate-resilient futures. Clinical trial registration: Not applicable. |
| format | Article |
| id | doaj-art-290edf0795ef4453aca33be24ca3fff9 |
| institution | Kabale University |
| issn | 2662-9984 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Sustainability |
| spelling | doaj-art-290edf0795ef4453aca33be24ca3fff92025-08-20T03:53:21ZengSpringerDiscover Sustainability2662-99842025-05-016111910.1007/s43621-025-01203-yEvaluating coastal agroecological dynamics using Landsat-derived vegetation and environmental indices embedded in Decision Support System and Monitoring Tools: insights from Guyana towards achieving SDGsEsan Ayeni Hamer0Temitope D. Timothy Oyedotun1Gordon A. Nedd2Department of Geography, Faculty of Earth and Environmental Sciences, Leslie P. Cummings Building (GEO Lab), University of GuyanaDepartment of Geography, Faculty of Earth and Environmental Sciences, Leslie P. Cummings Building (GEO Lab), University of GuyanaDepartment of Geography, Faculty of Earth and Environmental Sciences, Leslie P. Cummings Building (GEO Lab), University of GuyanaAbstract Coastal agroecological zones are vital for ensuring ecological stability, food security, and economic resilience. However, these zones face escalating threats from climate change, including salinity intrusion, vegetation degradation, and disruptions to hydrological processes. This study evaluates the dynamics of vegetation health, soil salinity, and water availability within Guyana’s coastal agroecological zones using multi-temporal Landsat 8 imagery, spectral indices such as the Enhanced Vegetation Index (EVI), Modified Soil-Adjusted Vegetation Index (MSAVI), Normalized Difference Salinity Index (NDSI), and Normalized Difference Water Index (NDWI), and a customised Decision Support System (DSS) for environmental monitoring and planning. Spanning 2015–2023, the sample application analysis focuses on the Mahaica-Berbice region (Region 5) of Guyana, a critical rice-farming area, to identify spatial and temporal trends, assess climate impacts on biogeochemical cycles, and provide actionable insights. This study integrates Google Earth Engine (GEE) for scalable geospatial analysis and a DSS that synthesises environmental indices into interactive, actionable formats for policymakers. The DSS offers an innovative platform for monitoring agroecological dynamics, identifying vulnerable zones, and guiding adaptive management strategies. Results reveal substantial annual variations in vegetation health, salinity, and water content, emphasising climate-induced vulnerabilities and their implications for carbon and nitrogen cycling. These findings emphasise the importance of sustainable resource management strategies and reinforce resilience against climate-induced challenges. The study directly supports the United Nations Sustainable Development Goals (SDGs), including SDG 2 (Zero Hunger) by advancing sustainable agriculture, SDG 13 (Climate Action) by fostering adaptive climate strategies, and SDG 15 (Life on Land) by promoting biodiversity conservation and ecosystem health. By combining remote sensing, DSS innovation, and environmental monitoring tools, this research offers a replicable, evidence-based framework to balance development and ecological sustainability in vulnerable coastal landscapes. It demonstrates the critical role of integrated technologies in shaping climate-resilient futures. Clinical trial registration: Not applicable.https://doi.org/10.1007/s43621-025-01203-yAgricultural productivityClimate change adaptationEcosystem resilienceLandsat imageryRemote sensingSpatial analysis |
| spellingShingle | Esan Ayeni Hamer Temitope D. Timothy Oyedotun Gordon A. Nedd Evaluating coastal agroecological dynamics using Landsat-derived vegetation and environmental indices embedded in Decision Support System and Monitoring Tools: insights from Guyana towards achieving SDGs Discover Sustainability Agricultural productivity Climate change adaptation Ecosystem resilience Landsat imagery Remote sensing Spatial analysis |
| title | Evaluating coastal agroecological dynamics using Landsat-derived vegetation and environmental indices embedded in Decision Support System and Monitoring Tools: insights from Guyana towards achieving SDGs |
| title_full | Evaluating coastal agroecological dynamics using Landsat-derived vegetation and environmental indices embedded in Decision Support System and Monitoring Tools: insights from Guyana towards achieving SDGs |
| title_fullStr | Evaluating coastal agroecological dynamics using Landsat-derived vegetation and environmental indices embedded in Decision Support System and Monitoring Tools: insights from Guyana towards achieving SDGs |
| title_full_unstemmed | Evaluating coastal agroecological dynamics using Landsat-derived vegetation and environmental indices embedded in Decision Support System and Monitoring Tools: insights from Guyana towards achieving SDGs |
| title_short | Evaluating coastal agroecological dynamics using Landsat-derived vegetation and environmental indices embedded in Decision Support System and Monitoring Tools: insights from Guyana towards achieving SDGs |
| title_sort | evaluating coastal agroecological dynamics using landsat derived vegetation and environmental indices embedded in decision support system and monitoring tools insights from guyana towards achieving sdgs |
| topic | Agricultural productivity Climate change adaptation Ecosystem resilience Landsat imagery Remote sensing Spatial analysis |
| url | https://doi.org/10.1007/s43621-025-01203-y |
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