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...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Joon Kim, Whijin Kim, Sujong Lee, Youngjin Ko, Yujeong Jeong, Woo-Kyun Lee
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-11-01
Edice:	Ecological Informatics
Témata:	Land cover mapping Phenological classification Forest type Greenhouse gas inventory Deep learning
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1574954125004297
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!