Monitoring Forest Dynamics and Conducting Restoration Assessment Using Multi-Source Earth Observation Data in Northern Andes, Colombia

Author:

Pedraza Carlos12,Clerici Nicola2ORCID,Villa Marcelo1,Romero Milton3,Dueñas Adriana Sarmiento3,Rojas Dallan Beltrán3,Quintero Paola4,Martínez Mauricio4,Kellndorfer Josef5

Affiliation:

1. DreamGIS, Bogotá 110231, Colombia

2. Department of Biology, Faculty of Natural Sciences, Universidad del Rosario, Bogotá 111221, Colombia

3. 4D Elements Consultores, Bogotá 111321, Colombia

4. Urra S.A E.S.P., Environmental Unit, Monteria 230002, Colombia

5. Earth Big Data LLC, Woods Hole, MA 02543, USA

Abstract

Examining the efficacy of current assessment methodologies for forest conservation and restoration initiatives to align with global and national agendas to combat deforestation and facilitate restoration efforts is necessary to identify efficient and robust approaches. The objective of this study is to understand forest dynamics (1996–2021) and assess restoration implementations at the Urra’s supplying basin hydroelectric reservoir in Colombia. The processing approach integrates optical and radar Earth Observation (EO) data from Sentinel-2 and Landsat for forest mapping and multi-temporal forest change assessment (1996–2021), and a Sentinel-1 backscatter time-series analysis is conducted to assess the state of forest restoration implementations. The processing chain was scaled in a cloud-based environment using the Nebari and SEPPO software and the Python language. The results demonstrate an overall substantial decrease in forested areas in the 1996–2000 period (37,763 ha). An accuracy assessment of multi-temporal forest change maps showed a high precision in detecting deforestation events, while improvements are necessary for accurately representing non-forested areas. The forest restoration assessment suggests that the majority of the 270 evaluated plots are in the intermediate growth state (82.96%) compared to the reference data. This study underscores the need for robust and continuous monitoring systems that integrate ground truth data with EO techniques for enhanced accuracy and effectiveness in forest restoration and conservation endeavors.

Funder

Colciencias scholarship program

Publisher

MDPI AG

Reference57 articles.

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2. Current and Near-Term Advances in Earth Observation for Ecological Applications;Ustin;Ecol. Process.,2021

3. Onoda, M., and Young, O.R. (2017). Satellite Earth Observations and Their Impact on Society and Policy, Springer.

4. Quantification of Global Gross Forest Cover Loss;Hansen;Proc. Natl. Acad. Sci. USA,2010

5. Combining Satellite Data for Better Tropical Forest Monitoring;Reiche;Nat. Clim. Chang.,2016

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