Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland

Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Department of Natural Disasters, Anthropogenic Hazards and Seismicity of the Earth. Laboratory of Regional Geophysics and Natural Disasters (Nr. 303), Russian Federation

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DOI: https://doi.org/10.2478/arls-2020-0021 | Journal eISSN: 2543-8050

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Language: English

Page range: 70 - 78

Submitted on: Sep 1, 2020

Accepted on: Nov 1, 2020

Published on: Nov 28, 2020

Published by: University of Life Sciences “King Mihai I“ from Timisoara

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

Landsat TM,

QGIS,

NDVI,

Vegetation Index,

Cartography

Related subjects:

Geosciences,

Cartography and photogrammetry,

© 2020 Polina Lemenkova, published by University of Life Sciences “King Mihai I“ from Timisoara
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 4 (2020): Issue 1 (January 2020)