remotesensing-logo

Journal Browser

Journal Browser

Using Earth Observation Data to Monitor Deforestation and Forest Degradation to Ensure Compliance with Regulatory Frameworks

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".

Deadline for manuscript submissions: 28 October 2025 | Viewed by 1484

Special Issue Editors


E-Mail Website
Guest Editor
Johann Heinrich von Thünen Institute, Institute of Forestry, 21031 Hamburg, Germany
Interests: forestry; land use change and impact of ecosystem function; ABM; particpatory
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor Assistant
Johann Heinrich von Thünen Institute, Institute of Forestry, 21031 Hamburg, Germany
Interests: deforestation-free and legal supply chains; EU timber regulation; EUDR; forest transition; policy instruments

E-Mail Website
Guest Editor
Center for Environmental and Social Research, State University of Campinas, Campinas 13083867, SP, Brazil
Interests: forest ecology; natural resource management; GIS; remote sensing; tele-coupling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
World Resource Institute (WRI) Indonesia, Daerah Khusus Ibukota Jakarta 12170, Indonesia
Interests: tropical forest landscape management; drivers of deforestation and forest degradation; MRV REDD+; low-carbon development; climate mitigation

Special Issue Information

Dear Colleagues,

Deforestation and forest degradation are major environmental challenges with profound implications for biodiversity, climate change, and ecosystem services. In response, governments, industries, and international organizations have established regulatory frameworks and zero-deforestation initiatives to ensure sustainable land-use practices. For example, the new EU Regulation on Deforestation-free Products (EUDR) aims to curb deforestation by requiring due diligence for seven major agricultural and forestry commodities, namely beef, cacao, coffee, oil palm, rubber, soy, and timber. Verifying compliance with such commitments and regulatory frameworks remains a complex task, requiring accurate, scalable, and cost-effective monitoring systems. Earth observation (EO) technologies, including satellite imagery, remote sensing, and geospatial analytics, offer transformative solutions for tracking deforestation and forest degradation in near real-time and at large spatial scales.

This Special Issue explores the role of EO in supporting compliance with regulatory frameworks such as the EUDR and voluntary zero-deforestation commitments. Contributions will examine innovative EO methodologies, such as GeoAI, machine learning-based land-cover classification, land-use and commodity mapping, radar and optical data fusion, automated deforestation, and forest degradation alerts. Additionally, case studies may highlight applications in supply chain traceability, law enforcement, and for sustainability reporting. This Special Issue will also address the challenges of EO-based compliance monitoring, including data availability, accuracy, and integration with ground-based verification.

This Special Issue aims to advance the scientific understanding and practical implementation of EO for deforestation-free supply chains and regulatory enforcement such as the EUDR. Original research papers, reviews, and commentaries with a focus on deforestation and forest degradation driven by agricultural expansion or commodities with relevance to the EUDR and zero-deforestation initiatives are invited. Spatial scales may cover plot, landscape, and large-scale assessments. Time series analysis techniques that assess the timing and duration for deforestation and forest degradation as a result of agricultural activities, as well as timber extraction, are further encouraged.

Articles may address, but are not limited to, the following topics:

  • Advanced remote sensing technologies;
  • Big data, GeoAI, and GIS integration;
  • Land-use and land-cover change;
  • Mapping agroforestry systems;
  • Mapping crop commodities of EUDR relevance (cacao, cattle, coffee, oil palm, rubber, soy);
  • Mapping timber plantations;
  • Deforestation monitoring;
  • Forest degradation;
  • Regulatory compliance;
  • Zero-deforestation;
  • Sustainability governance.

Dr. Melvin Lippe
Guest Editor

Dr. Margret Köthke
Guest Editor Assistant

Dr. Ramon Felipe Bicudo Silva
Dr. Arief Wijaya
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • advanced remote sensing technologies
  • big data, GeoAI, and GIS integration
  • land cover and land use change
  • deforestation monitoring
  • forest degradation
  • regulatory compliance
  • zero-deforestation
  • sustainability governance

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

28 pages, 3199 KB  
Review
Assessing the Suitability of Available Global Forest Maps as Reference Tools for EUDR-Compliant Deforestation Monitoring
by Juliana Freitas Beyer, Margret Köthke and Melvin Lippe
Remote Sens. 2025, 17(17), 3012; https://doi.org/10.3390/rs17173012 - 29 Aug 2025
Viewed by 1128
Abstract
Deforestation monitoring is critical to support compliance with regulatory frameworks such as the EU Deforestation Regulation (EUDR), which requires that products containing or derived from beef, cocoa, coffee, palm oil, rubber, soy, and timber are deforestation-free after 31 December 2020. Earth observation (EO) [...] Read more.
Deforestation monitoring is critical to support compliance with regulatory frameworks such as the EU Deforestation Regulation (EUDR), which requires that products containing or derived from beef, cocoa, coffee, palm oil, rubber, soy, and timber are deforestation-free after 31 December 2020. Earth observation (EO) offers a means to assess deforestation, yet map-based verification remains technically limited and uncertain. This study addresses the lack of a systematic assessment of global Forest/Non-Forest (FNF), Tree Cover/Non-Tree Cover (TC/NTC) and Land Use/Land Cover (LULC) datasets by identifying and evaluating 21 publicly available global forest/tree cover reference maps for their alignment with EUDR criteria. This goes beyond merely treating these datasets as simply “fit” or “not fit” for the purpose of the EUDR, but rather aims to assess how well each dataset meets the needs compared to others, acknowledging strengths, weaknesses, and trade-offs. The 21 datasets are reviewed based on EUDR-related parameters (temporal proximity, spatial resolution, and forest definition) as well as accuracy metrics. From this broader review, eight datasets are shortlisted based on their alignment with key regulatory requirements. However, most datasets fail to fully meet all EUDR requirements, particularly forest definitions, with only two datasets satisfying all indicators. Notably, all datasets are unable to distinguish forests from other non-forest, tree-based systems. Reported accuracy metrics reveal a general overestimation of forest areas, while canopy height-based maps tend to underestimate tree cover, potentially excluding forested regions. Regional comparisons show more consistent estimates in South America, while Europe and North America display greater variability. These findings support informed decision-making by companies and policymakers for selecting suitable datasets, while also highlighting conflicts and challenges associated with the use of global forest/tree cover maps for regulatory compliance. Full article
Show Figures

Figure 1

Back to TopTop