Erik Næsset

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The objective of the “Tree Extraction” project organized by EuroSDR (European Spatial data Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was to evaluate the quality, accuracy, and feasibility of automatic tree extraction methods, mainly based on laser scanner data. In the final report of the project, Kaartinen and Hyyppä(More)
High-resolution datasets from Airborne Laser Scanning (ALS) provide information to extract the outline of single tree crowns. Laser echoes with spatial coordinates inside these single-tree crowns give the ability of measuring biophysical properties and to classify species of these single-trees. Species classification by ALS-data is based on differences in(More)
Tremendous advances in the construction and assessment of forest attribute maps and related spatial products have been realized in recent years, partly as a result of the use of remotely sensed data as an information source. This review focuses on the current state of techniques for the construction and assessment of remote sensing-based maps and addresses(More)
Successful implementation of projects under the REDD+ mechanism, securing payment for storing forest carbon as an ecosystem service, requires quantification of biomass. Airborne laser scanning (ALS) is a relevant technology to enhance estimates of biomass in tropical forests. We present the analysis and results of modeling aboveground biomass (AGB) in a(More)
This paper focuses on the use of models for increasing the precision of estimators in large-area forest surveys. It is motivated by the increasing availability of remotely sensed data, which facilitates the development of models predicting the variables of interest in forest surveys. We present, review and compare three different estimation frameworks where(More)
Canopy height distributions were created from small-footprint airborne laser scanner data for mature coniferous forest in two forest areas in Norway. In total, 82 and 70 georeferenced field sample plots and 39 and 38 forest stands were measured in the two areas, respectively. The average sampling densities were 1.2 m and 0.9 m. Height percentiles, mean and(More)
A large proportion of Norway’s land area is occupied by the forest-tundra ecotone. The vegetation of this temperature-sensitive ecosystem between mountain forest and the alpine zone is expected to be highly affected by climate change and effective monitoring techniques are required. For the detection of such small pioneer trees, airborne laser scanning(More)