Advancing forest GHG inventory accuracy with a phenological classification framework: Toward an observation-based approach 3 in South Korea

Reliable, observation-based activity data are essential for improving national greenhouse gas (GHG) inventories in the LULUCF sector. However, in South Korea, the method used for current GHG estimations for the forest sector has several limitations. Therefore, we developed a phenological classificat...

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Principais autores:	Joon Kim, Whijin Kim, Sujong Lee, Youngjin Ko, Yujeong Jeong, Woo-Kyun Lee
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2025-11-01
Series:	Ecological Informatics
Assuntos:	Land cover mapping Phenological classification Forest type Greenhouse gas inventory Deep learning
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S1574954125004297
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