Upscaling net ecosystem CO2 exchanges in croplands: The application of integrating object-based image analysis and machine learning approaches

Accurately estimating the net ecosystem exchange of CO2 (NEE) in cropland ecosystems is essential for understanding the impacts of agricultural practices and climate conditions. However, significant uncertainties persist in the estimation of regional cropland NEE due to landscape heterogeneity and v...

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Vydané v:	The Science of the total environment Ročník 944; s. 173887
Hlavní autori:	Gao, Dexiang, Yao, Jingyu, Gao, Zhongming, Yuan, Wenping, He, Yingzhe, Wang, Bojun, Li, Lei, Ma, Yulong, Russell, Eric, Pressley, Shelley N., Zou, Xudong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 20.09.2024
Predmet:	algorithms carbon dioxide Carbon flux upscaling climate cropland Eddy covariance environment image analysis Machine learning Net ecosystem exchange Object-oriented image analysis phenology prediction soil water temperature Net ecosystem exchange Eddy covariance Carbon flux upscaling Object-oriented image analysis Machine learning
ISSN:	0048-9697, 1879-1026, 1879-1026
On-line prístup:	Získať plný text
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