Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches

The technical foundation of the workshop was a set of GIS-based soil erosion risk maps developed using the Revised Universal Soil Loss Equation (RUSLE), integrating spatial layers of rainfall erosivity, soil erodibility, topography, land cover, and management practices. These maps provided spatially...

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Detalles Bibliográficos
Autores principales: Dao Thu, Hang Thi, Van Hong, Nguyen, Atieno, Mary
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/180383
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author Dao Thu, Hang Thi
Van Hong, Nguyen
Atieno, Mary
author_browse Atieno, Mary
Dao Thu, Hang Thi
Van Hong, Nguyen
author_facet Dao Thu, Hang Thi
Van Hong, Nguyen
Atieno, Mary
author_sort Dao Thu, Hang Thi
collection Repository of Agricultural Research Outputs (CGSpace)
description The technical foundation of the workshop was a set of GIS-based soil erosion risk maps developed using the Revised Universal Soil Loss Equation (RUSLE), integrating spatial layers of rainfall erosivity, soil erodibility, topography, land cover, and management practices. These maps provided spatially explicit overview of erosion dynamics in Son La, allowing the identification of erosion hotspots where soil loss is most severe and where interventions could deliver the highest environmental and socio-economic returns.
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spelling CGSpace1803832026-01-23T02:10:27Z Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches Dao Thu, Hang Thi Van Hong, Nguyen Atieno, Mary forage land management spatial analysis soil erosion models interventions The technical foundation of the workshop was a set of GIS-based soil erosion risk maps developed using the Revised Universal Soil Loss Equation (RUSLE), integrating spatial layers of rainfall erosivity, soil erodibility, topography, land cover, and management practices. These maps provided spatially explicit overview of erosion dynamics in Son La, allowing the identification of erosion hotspots where soil loss is most severe and where interventions could deliver the highest environmental and socio-economic returns. 2025-12 2026-01-22T09:40:26Z 2026-01-22T09:40:26Z Report https://hdl.handle.net/10568/180383 en Open Access application/pdf Dao Thu, H.T.; Van Hong, N.; Atieno, M. (2025) Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches. CGIAR Multifunctional Landscapes Science Program. 13 p.
spellingShingle forage
land management
spatial analysis
soil erosion models
interventions
Dao Thu, Hang Thi
Van Hong, Nguyen
Atieno, Mary
Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches
title Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches
title_full Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches
title_fullStr Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches
title_full_unstemmed Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches
title_short Identification and validation of soil erosion hotspots and interventions in Son La Province using GIS and participatory approaches
title_sort identification and validation of soil erosion hotspots and interventions in son la province using gis and participatory approaches
topic forage
land management
spatial analysis
soil erosion models
interventions
url https://hdl.handle.net/10568/180383
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AT atienomary identificationandvalidationofsoilerosionhotspotsandinterventionsinsonlaprovinceusinggisandparticipatoryapproaches