Delineating the montane cloud forest of Taiwan

For the first time, the montane cloud forest of Taiwan was mapped by means of remote sensing. This was done using a machine learning approach that incorporated different input data. The most important predictor was map of ground fog frequencies that has been created using using a newly developed app...

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Bibliographische Detailangaben
1. Verfasser: Schulz, Hans Martin
Beteiligte: Bendix, Jörg (Prof. Dr.) (BetreuerIn (Doktorarbeit))
Format: Dissertation
Sprache:Englisch
Veröffentlicht: Philipps-Universität Marburg 2017
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Zusammenfassung:For the first time, the montane cloud forest of Taiwan was mapped by means of remote sensing. This was done using a machine learning approach that incorporated different input data. The most important predictor was map of ground fog frequencies that has been created using using a newly developed approach for ground fog detection from MODIS satellite data. The machine learning model was trained using point data from the National Vegetation Database of Taiwan.
Umfang:167 Seiten
DOI:10.17192/z2017.0066