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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Opis bibliograficzny
1. autor: Schulz, Hans Martin
Kolejni autorzy: Bendix, Jörg (Prof. Dr.) (Promotor doktoranta)
Format: Dissertation
Język:angielski
Wydane: Philipps-Universität Marburg 2017
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Opis
Streszczenie: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.
Opis fizyczny:167 Seiten
DOI:10.17192/z2017.0066