A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

By Dengsheng Lu, Qi Chen, Guangxing Wang, Lijuan Liu, Guiying Li, Emilio F. Moran. International Journal of Digital Earth, 2016

775 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/e984c85017623eb1e4eea9f62471ed1613491c8d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Daniel A. Friess
2. D. Tien Bui
3. Naoto Yokoya

In Environmental Engineering

1. D. Tien Bui

Citations in the corpus

• Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges (2019, methodology): “Biomass estimation using airborne LiDAR can offer higher accuracy in tree extraction [154], tree height estimation [155], and AGB estimation [156] than those from radar and optical data [157], since LiDAR can characterize both horizontal and vertical canopy structures [130].”