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...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autor: Schulz, Hans Martin
Další autoři: Bendix, Jörg (Prof. Dr.) (Vedoucí práce)
Médium: Dissertation
Jazyk:angličtina
Vydáno: Philipps-Universität Marburg 2017
Témata:
On-line přístup:Plný text ve formátu PDF
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Fyzický popis:167 Seiten
DOI:10.17192/z2017.0066