Spatiotemporal monitoring of surface temperature in an urban area using UAV imaging and tower-mounted radiometer measurements. - Stavros Stagakis; Ingunn Burud; Thomas Thiis; Niki Gaitani; Emmanouil Panagiotakis; Giannis Lantzanakis; Nektarios Spyridakis; Nektarios Chrysoulakis (JURSE, 2019)

Use of Remotely Sensed Data to Enhance Estimation of Aboveground Biomass for the Dry Afromontane Forest in South-Central Ethiopia. - Habitamu Taddese; Zerihun Asrat; Ingunn Burud; Terje Gobakken; Hans Ole Ørka; Øystein B. Dick; Erik Næsset (Remote. Sens., 2020)

Machine Learning Methods for Road Edge Detection on Fused Airborne Hyperspectral and LIDAR Data. - Rabin Senchuri; Agnieszka Kuras; Ingunn Burud (WHISPERS, 2021)

Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery. - Sahameh Shafiee; Lars Martin Lied; Ingunn Burud; Jon Arne Dieseth; Muath Alsheikh; Morten Lillemo (Comput. Electron. Agric., 2021)

Hyperspectral and Lidar Data Applied to the Urban Land Cover Machine Learning and Neural-Network-Based Classification: A Review. - Agnieszka Kuras; Maximilian Brell; Jonathan Rizzi; Ingunn Burud (Remote. Sens., 2021)

Integration of Hyperspectral and Magnetic Data for Geological Characterization of the Niaqornarssuit Ultramafic Complex in West-Greenland. - Agnieszka Kuras; Bjørn Henning Heincke; Sara Salehi; Christian Mielke; Nicole Köllner; Christian Rogaß; Uwe Altenberger; Ingunn Burud (Remote. Sens., 2022)

Feature-Level Based Hyperspectral and Lidar Data Fusion for Urban Analysis. - Agnieszka Kuras; Maximilian Brell; Stian Teien; Ingunn Burud; Thomas Thiis (JURSE, 2023)

Multitemporal Feature-Level Fusion on Hyperspectral and LiDAR Data in the Urban Environment. - Agnieszka Kuras; Maximilian Brell; Kristian Hovde Liland; Ingunn Burud (Remote. Sens., 2023)

Evaluation of UAV multispectral cameras for yield and biomass prediction in wheat under different sun elevation angles and phenological stages. - Sahameh Shafiee; Tomasz Mroz; Ingunn Burud; Morten Lillemo (Comput. Electron. Agric., 2023)