Characterizing global forest canopy cover distribution using spaceborne lidar

• Published in: Remote sensing of environment Vol. 231; p. 111262
• Main Authors: Tang, Hao, Armston, John, Hancock, Steven, Marselis, Suzanne, Goetz, Scott, Dubayah, Ralph
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 15.09.2019; Elsevier BV
• Subjects: Algorithms; Altimetry; Canopies; Canopy cover; Detection; Dynamic structural analysis; Ecosystem dynamics; Environmental changes; Forest canopy; Forest ecosystems; Forest structure; Forests; Herbivores; ICESat; International Space Station; Landscape; Lidar; Remote observing; Remote sensing; Remote sensing techniques; Satellite imagery; Satellites; Sensing techniques; Space stations; Spaceborne lidar; Stratification; Tropical forests; Lidar; ICESat; Tropical forests; Forest structure; Canopy cover

Detailed characterization of global forest dynamics requires accurate measurements of canopy cover beyond estimating the extent of forested area. Passive-optical remote sensing techniques, despite remarkable success in identifying global hotspots of forest cover loss, cannot fully satisfy observatio...