Erik Næsset

发表

Local validation of global biomass maps

Sassan Saatchi, Ronald E. McRoberts, Erik Næsset, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Modeling biophysical properties of broad-leaved stands in the hyrcanian forests of Iran using fused airborne laser scanner data and ultraCam-D images

Erik Næsset, Shaban Shataee, Jahangir Mohammadi, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Modelling Site Index in Forest Stands Using Airborne Hyperspectral Imagery and Bi-Temporal Laser Scanner Data

Michele Dalponte, Erik Næsset, Ole Martin Bollandsås, 2019, Remote. Sens..

A Model-Dependent Method for Monitoring Subtle Changes in Vegetation Height in the Boreal-Alpine Ecotone Using Bi-Temporal, Three Dimensional Point Data from Airborne Laser Scanning

Ronald E. McRoberts, Erik Næsset, Terje Gobakken, 2019, Remote. Sens..

Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia

Ingunn Burud, Erik Næsset, Hans Ole Ørka, 2020, Remote. Sens..

Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories

Christophe Sannier, Stephen V. Stehman, Ronald E. McRoberts, 2020, Remote. Sens..

Classifications of Forest Change by Using Bitemporal Airborne Laser Scanner Data

Erik Næsset, Ole Martin Bollandsås, Hans Ole Ørka, 2019, Remote. Sens..

Optimizing the ground sample collection with cost-sensitive active learning for tree species classification using hyperspectral images

Michele Dalponte, Terje Gobakken, Claudio Persello, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Individual tree crown approach for predicting site index in boreal forests using airborne laser scanning and hyperspectral data

Michele Dalponte, Kaja Kandare, Erik Næsset, 2017, Int. J. Appl. Earth Obs. Geoinformation.

Use of local and global maps of forest canopy height and aboveground biomass to enhance local estimates of biomass in miombo woodlands in Tanzania

Sassan Saatchi, Terje Gobakken, Øivind Due Trier, 2020, Int. J. Appl. Earth Obs. Geoinformation.

An application niche for finite mixture models in forest resource surveys

Steen Magnussen, Erik Næsset, Terje Gobakken, 2019, Canadian Journal of Forest Research.

Estimating Forest Volume and Biomass and Their Changes Using Random Forests and Remotely Sensed Data

Ronald E. McRoberts, Erik Næsset, Alfredo Fernández-Landa, 2019, Remote. Sens..