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Using GEDI as training data for an ongoing mapping of landscape-scale dynamics of the plant area index
Leaf or plant area index (LAI, PAI) information is frequently used to describe vegetation structure in environmental science. While field measurements are time-consuming and do not scale to landscapes, model-based air- or space-borne remote-sensing methods have been used for many years for area-w...
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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Philipps-Universität Marburg
2023
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| 主題: | |
| オンライン･アクセス: | PDFフルテキスト |
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Publikationen im Open Access gefördert durch die UB