Relative Efficiency of ALS and InSAR for Biomass Estimation in a Tanzanian Rainforest. - Endre Hofstad Hansen; Terje Gobakken; Svein Solberg; Annika Kangas; Liviu Theodor Ene; Ernest Mauya; Erik Næsset (Remote. Sens., 2015)

Errors related to the automatized satellite-based change detection of boreal forests in Finland. - Timo P. Pitkänen; Laura Sirro; Lauri Häme; Tuomas Häme; Markus Törmä; Annika Kangas (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Improving TLS-based stem volume estimates by field measurements. - Timo P. Pitkänen; Pasi Raumonen; Xinlian Liang; Matti Lehtomäki; Annika Kangas (Comput. Electron. Agric., 2021)

Gamification of forest-going: Opportunities for players, landowners and the forest industry. - Samuli Laato; Sari Pynnönen; Annika Kangas (GamiFIN, 2022)

Quantifying the effects of competition on the dimensions of Scots pine and Norway spruce crowns. - Timo P. Pitkänen; S. Bianchi; Annika Kangas (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory. - Fangting Chen; Zhengyang Hou; Svetlana Saarela; Ronald E. McRoberts; Göran Ståhl; Annika Kangas; Petteri Packalen; Bo Li; Qing Xu (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Enhancing forest inventory Accuracy: Comparing 3D-CNN and k-NN with genetic algorithm Approaches using ALS data across boreal bioregions. - Andras Balazs; Sakari Tuominen; Annika Kangas (Comput. Electron. Agric., 2025)

A lightweight dataflow-based software framework for building forest simulators. - Tapio Lempinen; Lauri Mehtätalo; Annika Kangas; Tero Heinonen; Paulo Borges; Jari Vauhkonen (Environ. Model. Softw., 2025)