LAI estimation across California vineyards using sUAS multi-seasonal multi-spectral, thermal, and elevation information and machine learning

In agriculture, leaf area index (LAI) is an important variable that describes occurring biomass and relates to the distribution of energy fluxes and evapotranspiration components. Current LAI estimation methods at subfield scale are limited not only by the characteristics of the spatial data (pixel...

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Veröffentlicht in:	Irrigation science 2022-09, Vol.40 (4-5), p.731-759
Hauptverfasser:	Gao, Rui, Torres-Rua, Alfonso F., Aboutalebi, Mahyar, White, William A., Anderson, Martha, Kustas, William P., Agam, Nurit, Alsina, Maria Mar, Alfieri, Joseph, Hipps, Lawrence, Dokoozlian, Nick, Nieto, Hector, Gao, Feng, McKee, Lynn G., Prueger, John H., Sanchez, Luis, Mcelrone, Andrew J., Bambach-Ortiz, Nicolas, Coopmans, Calvin, Gowing, Ian
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Algorithms Aquatic Pollution Biomedical and Life Sciences Climate Change Energy balance Energy distribution Enthalpy Environment Evapotranspiration Feature extraction Fluctuations Fruit set Grapevines Growing season Heat Heat flux Heat transfer Information processing Latent heat Leaf area Leaf area index Learning algorithms Life Sciences Machine learning Net radiation Original Paper Radiation balance Sensible heat Sensible heat transfer Sensitivity analysis Spatial data Sustainable Development Uncertainty Unmanned aerial vehicles Vegetation index Vineyards Waste Water Technology Water Industry/Water Technologies Water Management Water Pollution Control Wineries & vineyards
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