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  • A Machine Learning Framework for the Classification of Natura 2000 Habitat…
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A Machine Learning Framework for the Classification of Natura 2000 Habitat Types at Large Spatial Scales Using MODIS Surface Reflectance Data

Affiliation
Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, Leipzig, Germany
Sittaro, Fabian;
Affiliation
Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, Leipzig, Germany
Hutengs, Christopher;
Affiliation
Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, Leipzig, Germany
Semella, Sebastian;
Affiliation
Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, Johannisallee 19a, Leipzig, Germany
Vohland, Michael

Category

Published in:
Remote Sensing
Vol. 14, H. 4 articlenr.:823
Volume:
14
No.:
4
Date Issued:
2022
DOI:
10.3390/rs14040823
Scopus ID:
85125791630
Language:
English
Type of Resource:
Text
Keywords:
C5.0; Change detection; Classification; Habitat monitoring; MODIS; Natura 2000; Random Forest; Support Vector Machines
DDC subject of DNB:
333.7 Natural resources, energy and environment
Link to Raw Object:
https://www.mdpi.com/2072-4292/14/4/823/pdf
Institution:
DBFZ Deutsches Biomasseforschungszentrum gemeinnützige GmbH, Bioenergiesysteme

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