Combining UAV thermography, point cloud analysis and machine learning for assessing small‐scale evapotranspiration patterns in a tropical rainforest

Microclimate and vegetation structure control evapotranspiration (ET) from land surfaces at stand and landscape scales. Tropical rainforests are among the most diverse and complex terrestrial ecosystems, harbouring vast plant and animal species throughout their dense multistory canopy. They contribu...

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Veröffentlicht in:	Ecohydrology 2024-01, Vol.17 (1), p.n/a
Hauptverfasser:	Cortés‐Molino, Álvaro, Valdés‐Uribe, Alejandra, Ellsäßer, Florian, Bulusu, Medha, Ahongshangbam, Joyson, Hendrayanto, Hölscher, Dirk, Röll, Alexander
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerial thermography Algorithms Animal species Canopies Canopy canopy structure Climatic conditions Density Dimensional analysis drone Evapotranspiration Height Leaf area leaf area density Learning algorithms Leaves Machine learning Microclimate Photogrammetry Pixels Plant cover Rainforests Reflectance Regression analysis Regression models Sumatra Terrestrial ecosystems Thermography Three dimensional models Unmanned aerial vehicles Variance Vegetation vegetation height
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