Open AccessDigital Approach to Forest Cover Mapping: a Case Study of Forest-Tundra in the near-Yenisei Siberia
Author(s) -
В. А. Рыжкова,
Irina Danilova,
Mikhail Korets
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/509/1/012045
Subject(s) - tundra , vegetation (pathology) , digital elevation model , forest cover , remote sensing , physical geography , bog , vegetation cover , ground truth , cover (algebra) , elevation (ballistics) , geography , range (aeronautics) , ecology , peat , ecosystem , computer science , archaeology , land use , machine learning , medicine , mechanical engineering , materials science , geometry , mathematics , pathology , engineering , composite material , biology
An algorithm of semi-automated classification and mapping of vegetation cover was developed based on the digital data (satellite images, digital elevation model, and climate data base) and ground truth data. The obtained maps cover a range of vegetation growth conditions, diversity of the vegetation types, and bog complexes in the forest-tundra zone of the Middle Siberia.