Classification of Tundra Vegetation in the Krkonoše Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data-Reference-Cited by-同舟云学术

Classification of Tundra Vegetation in the Krkonoše Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data

Published:2017-01 Issue:1 Volume:50 Page:29-46
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Kupková Lucie¹^ORCID,Červená Lucie¹,Suchá Renáta¹,Jakešová Lucie¹,Zagajewski Bogdan²,Březina Stanislav³,Albrechtová Jana⁴

Affiliation:

1. Faculty of Science, Department of Applied Geoinformatics and Cartography, Charles University in Prague, Albertov 6, Prague 2, Czechia

2. Faculty of Geography and Regional Studies, Department of Geoinformatics, Cartography and Remote Sensing, University of Warsaw, Krakowskie Przedmieście 30, Warsaw, Poland

3. The Krkonoše Mountains National Park Administration, Dobrovského 3, Vrchlabí, Czechia

4. Faculty of Science, Department of Experimental Plant Biology, Charles University in Prague, Viničná 5, Prague 2, Czechia

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://tandfonline.com/doi/pdf/10.1080/22797254.2017.1274573

Reference53 articles.

1. Arctic Ecological Classifications Derived from Vegetation Community and Satellite Spectral Data

2. Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data

3. Object based image analysis for remote sensing

4. Differentiating among Four Arctic Tundra Plant Communities at Ivotuk, Alaska Using Field Spectroscopy

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