Accurate Estimation of Gross Primary Production of Paddy Rice Cropland with UAV Imagery-Driven Leaf Biochemical Model

Accurate estimation of gross primary production (GPP) of paddy rice fields is essential for understanding cropland carbon cycles, yet remains challenging due to spatial heterogeneity. In this study, we integrated high-resolution unmanned aerial vehicle (UAV) imagery into a leaf biochemical propertie...

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Autors principals:	Xiaolong Hu, Liangsheng Shi, Lin Lin, Shenji Li, Xianzhi Deng, Jinmin Li, Jiang Bian, Chenye Su, Shuai Du, Tinghan Wang, Yujie Wang, Zhitao Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-10-01
Col·lecció:	Remote Sensing
Matèries:	gross primary production maximum carboxylation rate paddy rice cropland UAV texture features
Accés en línia:	https://www.mdpi.com/2072-4292/16/20/3906
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