Hyperspectral and Full-Waveform LiDAR Improve Mapping of Tropical Dry Forest’s Successional Stages

Hyperspectral and Full-Waveform LiDAR Improve Mapping of Tropical Dry Forest’s Successional Stages

Accurate estimation of the degree of regeneration in tropical dry forest (TDF) is critical for conservation policymaking and evaluation. Hyperspectral remote sensing and light detection and ranging (LiDAR) have been used to characterize the deterministic successional stages in a TDF. These successio...

Full description

Bibliographic Details
Main Authors: Genping Zhao, Arturo Sanchez-Azofeifa, Kati Laakso, Chuanliang Sun, Lunke Fei
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
tropical dry forests
succession mapping
hyperspectral
full-waveform LiDAR
randomized nonlinear archetypal analysis (RNAA)
relative attribute learning (RAL)
Online Access:https://www.mdpi.com/2072-4292/13/19/3830

Similar Items

Similar Items