Estimation of National Forest Aboveground Biomass from Multi-Source Remotely Sensed Dataset with Machine Learning Algorithms in China

Estimation of National Forest Aboveground Biomass from Multi-Source Remotely Sensed Dataset with Machine Learning Algorithms in China

Forests are the largest terrestrial ecosystem carbon pool and provide the most important nature-based climate mitigation pathway. Compared with belowground biomass (BGB) and soil carbon, aboveground biomass (AGB) is more sensitive to human disturbance and climate change. Therefore, accurate forest A...

Celý popis

Podrobná bibliografie
Hlavní autoři: Zhi Tang, Xiaosheng Xia, Yonghua Huang, Yan Lu, Zhongyang Guo
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-10-01
Edice:Remote Sensing
Témata:
forest
aboveground biomass
machine learning
multi-source dataset
China
On-line přístup:https://www.mdpi.com/2072-4292/14/21/5487

Internet

https://www.mdpi.com/2072-4292/14/21/5487

Podobné jednotky