Geo-spatial technologies (ie, remote sensing (RS) and Geographic Information Systems
(GIS)) offer the means to enable a rapid assessment of terrestrial carbon stock (CS) over …

We compared the performance of Sentinel-2 and Landsat 8 data for forest variable
prediction in the boreal forest of Southern Finland. We defined twelve modelling setups to …

Research activities combining lidar and radar remote sensing have increased in recent
years. The main focus in combining lidar-radar forest remote sensing has been on the …

Tropical forest biomass is a crucial component of global carbon emission estimations.
However, calibration and validation of such estimates require accurate and effective …

Forest above-ground biomass (AGB) can be estimated based on light detection and ranging
(LiDAR) point clouds. This paper introduces an accurate and detailed quantitative structure …

Estimating the change in the magnitude and distribution of forest biomass is important for
monitoring carbon dynamics and understanding the implications on the terrestrial carbon …

Airborne laser scanning (ALS) data enable accurate modeling and map** of aboveground
biomass (AGB), but the limited spatial and temporal extents of ALS data collection limit the …

Prompted by laser scanning (LS), point clouds have been applied in forest biomass
estimation for three decades. Previously reported evaluations focused on the accuracy of …

Accurate methods to estimate the aboveground biomass (AGB) of mangroves are required
to monitor the subtle changes over time and assess their carbon sequestration. The AGB of …

Previous research studies have demonstrated that the relationship between remote sensing-
derived parameters and aboveground biomass (AGB) could vary across different species …