Szczegóły
Tytuł artykułu
High-resolution soil erodibility K-factor estimation using machine learning generated soil dataset and soil pH levelsTytuł czasopisma
Geodesy and CartographyRocznik
2021Wolumin
vol. 70Numer
No 1Afiliacje
Mammadli, Nurlan : Azerbaijan National Academy Sciences, Baku, Azerbaijan ; Gojamanov, Magsad : Baku State University, Baku, AzerbaijanAutorzy
Słowa kluczowe
soil erodibility ; RUSLE ; SoilGrids ; K factor ; soil pHWydział PAN
Nauki TechniczneZakres
article no. e04Wydawca
Commitee on Geodesy PASData
2021.07.19Typ
ArticleIdentyfikator
DOI: 10.24425/gac.2021.136679 ; ISSN 2080-6736O czasopiśmie
The Advances in Geodesy and Geoinformation (formerly “Geodesy and Cartography”) is an open access international journal (semiannual) concerned with the study of scientific problems in the field of geodesy, geoinformation and their related interdisciplinary sciences. The journal has a rigorous peer–review process to ensure the best research publications. It is publishing peer–reviewed original articles on theoretical or modelling studies, and on results of experiments associated with geodesy and geodynamics, geoinformation, cartography and GIS, cadastre and land management, photogrammetry, remote sensing and related disciplines. Besides original research articles, the Advances in Geodesy and Geoinformation also accepts review articles on topical subjects, short notes/letters and communication of a great importance to the readers, and special issues arising from the national/international conferences as well as collection of articles that concentrates on a hot topical research area that falls within the scope of the journal.Content of Advances in Geodesy and Geoinformation is archived with a long-term preservation service by the National Library of Poland.