Terrestrial laser scanning (TLS) may provide a way to increase timber value recovery by replacing manual timber cruising with a simple-to-use, cost-effective alternative. TLS has been studied in several trials worldwide. Past studies have not compared TLS based estimates with mill estimates of stem value and volume.
Three differently stocked...
A thermal infrared (TIR) camera is used to remotely sense the foliage temperature in a mountain valley. The foliage temperature is used as a proxy for air temperature and can be used to study and map the dynamics of the nocturnal, weak-wind boundary layer in this valley. All radiative flux...
Recently concerns over anthropogenic carbon pollution have received increased global attention and research in forest biomass and carbon sequestration has gained momentum. Light Detection and Ranging (LiDAR) remote sensing has in the last decade demonstrated forest measurement and biomass estimation potential. The project objective was to compare LiDAR forest biomass...
Lidar is able to provide height and cover information which can be used to estimate selected forest attributes precisely. However, for users to evaluate whether the additional cost and complication associated with using Lidar merits adoption requires that the protocol to use lidar be thoroughly described and that a basis...
Lower atmospheric flux measurements are a difficult subset of atmospheric data to accurately collect. The interplay of cost, precision, specialty, resolution and repeatability compound an already difficult experimental problem. In response to this, a new, novel instrumentation approach to measuring within the atmospheric boundary layer (ABL) is introduced.
The combination...
Methods for obtaining accurate, spatially explicit estimates of biomass density in tropical forests are required to reduce uncertainties in the global carbon cycle, and to support international climate agreements and emerging carbon markets. Three-dimensional (3-D) remote sensing techniques sensitive to the vertical structure of vegetation provide a unique opportunity for...
Improved monitoring of forest biomass is needed to quantify natural and anthropogenic effects on the terrestrial carbon cycle. Landsat's temporal and spatial coverage, fine spatial grain, and long history of earth observations provide a unique opportunity for measuring biophysical properties of vegetation across large areas and long time scales. However,...