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...
I tiakina i:
| Kaituhi matua: | |
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| Ētahi atu kaituhi: | |
| Hōputu: | Dissertation |
| Reo: | Ingarihi |
| I whakaputaina: |
Philipps-Universität Marburg
2017
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| Ngā marau: | |
| Urunga tuihono: | Kuputuhi katoa PDF |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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| Whakarāpopototanga: | 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. |
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| Whakaahuatanga ōkiko: | 167 Seiten |
| DOI: | 10.17192/z2017.0066 |