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...
Enregistré dans:
Auteur principal: | |
---|---|
Autres auteurs: | |
Format: | Dissertation |
Langue: | anglais |
Publié: |
Philipps-Universität Marburg
2017
|
Sujets: | |
Accès en ligne: | Texte intégral en PDF |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Résumé: | 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. |
---|---|
Description matérielle: | 167 Seiten |
DOI: | 10.17192/z2017.0066 |