2026-10-12T15:03:23Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33988302 2026-09-24T17:35:44Z category_8 category_272 category_873 category_39 category_734 category_106 portal_5 item_type_3 month_year_09_2026

<p>K-factor values for various soil types based on existing literature.</p> Talema Moged Reda (24737654) Alemu Tadese (25105176) Wondimu Haimanote (25105179) Muralitharan Jothimani (17959314) Asmamaw Hangibayna (25105182) Solomon Gunta (25105185) Gizachew Kabite Wedajo (18870916) Berhan Gessesse (12293451) Admasu Adamu (25105188) Zewdneh Tomass (2628844) Guchie Gulie (25105191) Abdisa Yilma (25105194) Dereje Tsegaye (10665039) Microbiology Environmental Sciences not elsewhere classified Chemical Sciences not elsewhere classified Ecology Biological Sciences not elsewhere classified Science Policy machine learning frameworks machine learning framework google earth engine band drought index analyze existing biological adjusted vegetation index increases surface runoff 68 %, 50 15 %, 38 14 %, 6 validation results demonstrate hydrothermally stressed region chirps rainfall data lulc ), soil severe erosion risk lst ), salinity high vulnerability categories div >< p active geological processes surface soil loss land degradation vulnerability study area fall geological processes soil data surface crusting 34 %, 31 %, stressed regions results show land degradation soil erosion soil salinity land use land cover subsequent impact study area srtm dem spatial patterns <p>K-factor values for various soil types based on existing literature.</p> 2026-09-24T17:35:24Z Dataset Dataset 10.1371/journal.pone.0359349.t003 https://figshare.com/articles/dataset/_p_K-factor_values_for_various_soil_types_based_on_existing_literature_p_/33988302 CC BY 4.0