Types of forest dynamics in Europe (2000–2018)

This work delivers a map of the spatiotemporal dynamics of forests, in the NUTS of the European Union, for the period 2000–2018. The types of dynamics are defined by considering variations in forest amount and configuration, and then assigned to each NUTS. The motivation for the production of such map stems from the opportunity to derive new information from official datasets, therefore contributing to enhance the knowledge base and provide new insights for forest monitoring and planning. The methodology involves the use of a GIS analytical tool to compute a sequence of geoprocessing and data management operations, required to compare two forest datasets, detect changes between them within predefined analytical units, and generate an easy to interpret output from which the final map was produced.

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Publication Details

Journal
Journal of Maps
Published
2026-02-05
DOI
https://doi.org/10.1080/17445647.2026.2622821
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
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article

Types of forest dynamics in Europe (2000–2018)

Rui Machado
Journal of Maps
Remote Sensing and LiDAR Applications
article

Types of forest dynamics in Europe (2000–2018)

Rui Machado
article en

Abstract

This work delivers a map of the spatiotemporal dynamics of forests, in the NUTS of the European Union, for the period 2000–2018. The types of dynamics are defined by considering variations in forest amount and configuration, and then assigned to each NUTS. The motivation for the production of such map stems from the opportunity to derive new information from official datasets, therefore contributing to enhance the knowledge base and provide new insights for forest monitoring and planning. The methodology involves the use of a GIS analytical tool to compute a sequence of geoprocessing and data management operations, required to compare two forest datasets, detect changes between them within predefined analytical units, and generate an easy to interpret output from which the final map was produced.

Journal of MapsVol. 22(1)
University of Évora (PT)
Life in Land
Openalex Percentile: Top 70%
Remote Sensing and LiDAR Applications
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