Work

ForestMap: Mapping Forest Attributes Across the Globe - First Case Study

Year: 2023

Type: conference-paper

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.

Source: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

DOI: 10.1109/igarss52108.2023.10283354

Authors: Johan E.S. Fransson, Elif Sertel, Cem Ünsalan, Jari Salo, Anton Holmström, Jörgen Wallerman, Mats Nilsson

Institutions: Linnaeus University, Istanbul Technical University, Marmara University, University of Helsinki, Katam (Sweden), Swedish University of Agricultural Sciences

Language: English

Topic: Remote Sensing and LiDAR Applications

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: green

OpenAlex ID: W4387802415

FWCI: 1.315

Cites: 15

Cited by: 2

Related to: 10