Zobrazeno 1 - 2 of 2 pro vyhledávání: '"Nilesh K. Jaiswara"'
1
Akademický článek
MATLAB functions for extracting hypsometry, stream-length gradient index, steepness index, chi gradient of channel and swath profiles from digital elevation model (DEM) and other spatial data for landscape characterisation
Autor: Nilesh K. Jaiswara, Sravan Kumar Kotluri, Prabha Pandey, Anand K. Pandey
Publikováno v: Applied Computing and Geosciences, Vol 7, Iss , Pp 100033- (2020)
The landscape, developed by the interaction of geological processes, is represented by Digital Elevation Models (DEMs) of various spatial resolutions. These DEMs can be variously analysed for the spatial and linear morphometric indices for landscape
Externí odkaz: https://doaj.org/article/ca8d3d91a1b54773a6d0569ec5d83d25
Zobrazit plný text záznamu
2
MATLAB functions for extracting hypsometry, stream-length gradient index, steepness index, chi gradient of channel and swath profiles from digital elevation model (DEM) and other spatial data for landscape characterisation
Autor: Prabha Pandey, Nilesh K. Jaiswara, Sravan Kumar Kotluri, Anand K. Pandey
Publikováno v: Applied Computing and Geosciences, Vol 7, Iss, Pp 100033-(2020)
The landscape, developed by the interaction of geological processes, is represented by Digital Elevation Models (DEMs) of various spatial resolutions. These DEMs can be variously analysed for the spatial and linear morphometric indices for landscape
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::180ae1a118820dec488b47a20c992352
https://doi.org/10.1016/j.acags.2020.100033
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje