Democratic Republic of the Congo tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection

Democratic Republic of the Congo tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection

Inventories of tropical forest aboveground biomass (AGB) are often imprecise and sparse. Increasingly, airborne Light Detection And Ranging (LiDAR) and satellite optical wavelength sensor data are used to map tree height and to estimate AGB. In the tropics, cloud cover is particularly prevalent and...

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Bibliographic Details
Main Authors: Herve B. Kashongwe, David P. Roy, Jean Robert B. Bwangoy
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
Airborne LiDAR
Landsat-8
tropical forest
canopy height
aboveground biomass
Congo Basin Forest
Online Access:https://www.mdpi.com/2072-4292/12/9/1360

Internet

https://www.mdpi.com/2072-4292/12/9/1360

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