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...
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| フォーマット: | Dissertation |
| 言語: | 英語 |
| 出版事項: |
Philipps-Universität Marburg
2017
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| オンライン･アクセス: | PDFフルテキスト |
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| 要約: | 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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| 物理的記述: | 167 Seiten |
| DOI: | 10.17192/z2017.0066 |