Details

Title

High-resolution soil erodibility K-factor estimation using machine learning generated soil dataset and soil pH levels

Journal title

Geodesy and Cartography

Yearbook

2021

Volume

vol. 70

Numer

No 1

Affiliation

Mammadli, Nurlan : Azerbaijan National Academy Sciences, Baku, Azerbaijan ; Gojamanov, Magsad : Baku State University, Baku, Azerbaijan

Authors

Keywords

soil erodibility ; RUSLE ; SoilGrids ; K factor ; soil pH

Divisions of PAS

Nauki Techniczne

Coverage

article no. e04

Publisher

Commitee on Geodesy PAS

Date

2021.07.19

Type

Article

Identifier

DOI: 10.24425/gac.2021.136679
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