Prediction of leaf area index using thermal infrared data acquired by UAS over a mixed temperate forest

The leaf area index (LAI) is a crucial biophysical variable for remote sensing vegetation studies. LAI estimation through remote sensing data has mostly been investigated using visible and near-infrared (0.4–1.3 μm, VNIR) and Shortwave Infrared (1.4–3 μm, SWIR) data. However, Thermal Infrared (3–14 ...

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Detalhes bibliográficos

Principais autores:	Philip Stobbelaar, Elnaz Neinavaz, Panagiotis Nyktas
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2022-11-01
coleção:	International Journal of Applied Earth Observations and Geoinformation
Assuntos:	Leaf area index Thermal infrared Land surface temperature Land surface emissivity Unmanned aerial system Unmanned aerial vehicle
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1569843222002370
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