Publikationsserver
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...
Gespeichert in:
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Dissertation |
| 語言: | 英语 |
| 出版: |
Philipps-Universität Marburg
2017
|
| 主題: | |
| 在線閱讀: | PDF-Volltext |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | 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. |
|---|---|
| 實物描述: | 167 Seiten |
| DOI: | 10.17192/z2017.0066 |