Nondestructive estimates of above‐ground biomass using terrestrial laser scanning

Aboveground Total and Green Biomass of Dryland Shrub Derived from Terrestrial Laser Scanning

Estimates of forest canopy height and aboveground biomass using ICESat

[1] Exchange of carbon between forests and the atmosphere is a vital component of the global carbon cycle. Satellite laser altimetry has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage. While the Geoscience Laser Altimeter System (GLAS) onboard the Ice, Cloud and land Elevation Satellite (ICE...

Multi-temporal terrestrial laser scanning for modeling tree biomass change

Above ground biomass (AGB) is a crucial ecological variable and has to be accurately estimated to understand potential changes of the climate system and to reduce uncertainties in the estimates of forest carbon budget. The overall goal of this research is to estimate tree level AGB change using multi-temporal terrestrial laser scanning (TLS) datasets for trees in East Texas. Specific objectives...

Describing Forest Stands Using Terrestrial Laser-scanning

A method for extracting forest parameters is described in this paper. The 3D point clouds derived from phase difference laser scanners in forests were processed in a step-wise separation. The first step contains basic filter methods to reduce raw data which, separates isolated points or deletes those artefacts resulting from the ambiguity problem. The next step includes using algorithms to isol...

Estimates of Aboveground Biomass from Texture Analysis of Landsat Imagery

Maps of forest biomass are important tools for managing natural resources and reporting terrestrial carbon stocks. Using the San Juan National Forest in Southwest Colorado as a case study, we evaluate regional biomass maps created using physical variables, spectral vegetation indices, and image textural analysis on Landsat TM imagery. We investigate eight gray level co-occurrence matrix based t...