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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Dettagli Bibliografici
Autore principale: Schulz, Hans Martin
Altri autori: Bendix, Jörg (Prof. Dr.) (Relatore della tesi)
Natura: Dissertation
Lingua:inglese
Pubblicazione: Philipps-Universität Marburg 2017
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Riassunto: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.
Descrizione fisica:167 Seiten
DOI:10.17192/z2017.0066