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...
Gorde:
Egile nagusia: | |
---|---|
Beste egile batzuk: | |
Formatua: | Dissertation |
Hizkuntza: | ingelesa |
Argitaratua: |
Philipps-Universität Marburg
2017
|
Gaiak: | |
Sarrera elektronikoa: | PDF testu osoa |
Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|
Gaia: | 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. |
---|---|
Deskribapen fisikoa: | 167 Seiten |
DOI: | 10.17192/z2017.0066 |