Using GEDI as training data for an ongoing mapping of landscape-scale dynamics of the plant area index

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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Detalhes bibliográficos
Principais autores: Ziegler, Alice, Heisig, Johannes, Ludwig, Marvin, Reudenbach, Chris, Meyer, Hanna, Nauss, Thomas
Formato: Artigo
Idioma:inglês
Publicado em: Philipps-Universität Marburg 2023
Assuntos:
phenology
spatial modeling
environmental monitoring
LAI
Geografie, Reisen
maschine learning
leaf area index
random forest
Geography & travel
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Detalhes do Exemplar
Número de Chamada: urn:nbn:de:hebis:04-es2024-04438
Data de Publicação: 2024-01-18
Fonte: Erstveröffentlichung: Alice Ziegler et al 2023 Environ. Res. Lett. 18 075003. https://doi.org/10.1088/1748-9326/acde8f
Downloads: 38 (2024)
Lizenz: https://creativecommons.org/licenses/by/4.0
Acessar a URL: https://archiv.ub.uni-marburg.de/es/2024/0443
https://doi.org/10.1088/1748-9326/acde8f

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