Publication: Forestmap: mapping forest attributes across the globe - first case study
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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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Jeofizik Mühendisliği, Bilgisayar Bilimleri, Mühendislik ve Teknoloji, Geophysical Engineering, Computer Sciences, Engineering and Technology, Mühendislik, Bilişim ve Teknoloji (ENG), Temel Bilimler (SCI), Bilgisayar Bilimi, Yerbilimleri, JEOKİMYA VE JEOFİZİK, Engineering, Computing & Technology (ENG), Natural Sciences (SCI), COMPUTER SCIENCE, GEOSCIENCES, GEOCHEMISTRY & GEOPHYSICS, Bilgisayar Bilimi Uygulamaları, Fizik Bilimleri, Genel Yer ve Gezegen Bilimleri, Computer Science Applications, Physical Sciences, General Earth and Planetary Sciences, Artificial Intelligence, Forest, global, machine learning, map
Citation
Fransson J. E., Sertel E., ÜNSALAN C., Salo J., Holmstrom A., Wallerman J., Nilsson M., \"ForestMap: Mapping Forest Attributes Across the Globe - First Case Study\", 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, California, Amerika Birleşik Devletleri, 16 - 21 Temmuz 2023, cilt.2023-July, ss.3395-3397