UAV-Based Biomass Assessment in Kenya’s Drylands: Insights from Kapiti Research Station, Preliminary Results

Vista sencilla de ítem
dc.creatorOnyango, F.
dc.creatorLeitner, Sonja
dc.creatorPaliwal, Ambica
dc.date2025-12-01
dc.date2025-12-05T12:06:00Z
dc.date2025-12-05T12:06:00Z
dc.date.accessioned2026-06-27T17:04:30Z
dc.descriptionThis study develops and validates a UAV-based approach for estimating dry-season herbaceous biomass in semi-arid rangelands at Kapiti Research Station, Kenya. High-resolution RGB and multispectral imagery, combined with extensive field measurements, were used to characterize vegetation structure, differentiate herbaceous cover from shrubs and bare soil, and quantify spectral–biophysical relationships across diverse soil and vegetation types. Orthomosaics, vegetation indices (NDVI, NDRE, GNDVI, SAVI), and digital surface models were derived to assess fine-scale variations in forage conditions. Preliminary results indicate limited NDVI variability during the dry season and weak correlations with fresh biomass, highlighting the need to integrate additional indices and structural metrics. The dataset establishes a foundation for seasonal biomass modeling and will support wet-season analysis to capture vegetation response dynamics. Ultimately, this work contributes to developing high-resolution, spatially explicit forage monitoring tools to improve grazing management, drought preparedness, and decision-making for pastoral and agropastoral systems in East Africa.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/178577
dc.identifier.urihttp://hdl.handle.net/123456789/141459
dc.languageen
dc.publisherCGIAR
dc.rightsOpen Access
dc.sourceOnyango, F., Leitner, S.A. and Paliwal, A. 2025. UAV-Based Biomass Assessment in Kenya’s Drylands: Insights from Kapiti Research Station. DTA Technical Report. Montpellier, France: CGIAR.
dc.subjectphotogrammetry
dc.subjectrangelands
dc.subjectbiomass
dc.subjectvegetation
dc.subjectforage
dc.subjectassessment
dc.titleUAV-Based Biomass Assessment in Kenya’s Drylands: Insights from Kapiti Research Station, Preliminary Results
dc.typeReport

Archivos

Colecciones

Instituto Internacional de Investigaciones Pecuarias (ILRI)