Forestmap: mapping forest attributes across the globe - first case study

Johan E. S. Fransson,Elif Sertel,Cem Unsalan, Jari Salo, Anton Holmstrom,Jorgen Wallerman,Mats Nilsson

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM（2023）

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Abstract

This paper presents the project ForestMap - a project aiming to develop and distribute new methods, which provide the benefits of accurate forest maps to a global audience. Using the recent developments in remote sensing, machine learning, and Artificial Intelligence (AI) the goal is to export the Scandinavian success stories to a wide range of stakeholders in the world.

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Key words

Forest,map,global,machine learning,Artificial Intelligence

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