Broad-scale estimates of above ground forest biomass (AGB) are typically produced by applying individual-tree equations to inventory data consisting of measurements from probabilistically or purposively selected trees. The associated uncertainty for these estimates depends primarily on three sources of error that interact and propagate: (1) measurement error, the quality of...
One of the most common practices regarding estimation of forest attributes is
the partitioning of large forested subpopulations into smaller areas of interest to
coincide with specific objectives of present and future forest management. New
estimators are needed to improve estimation of selected forest attributes in small areas
where the...
Quantitative assessments of post-fire effects are key to improving our understanding of ecosystem resilience. While remote sensing technology has allowed us to assess post-fire landscape effects, we are often limited by the lack of information related to pre-fire forest attributes. As a result, our ability to interpret fire effects in...
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...
Accurate estimates of forest aboveground biomass are needed to reduce uncertainties in the terrestrial carbon flux. The Geoscience Laser Altimeter System (GLAS) onboard the Ice, Cloud and land Elevation Satellite is now the first spaceborne lidar sensor that will provide global estimates of vegetation height. This study investigated the utility...
Published May 1978. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the Sea Grant Catalog: http://seagrant.oregonstate.edu/publications
Published June 1979. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the Sea Grant Catalog: http://seagrant.oregonstate.edu/publications
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,...
