A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021)

Tiengo, Rafaela de Paula ORCID: https://orcid.org/0000-0002-9298-0178, Merino de Miguel, Silvia ORCID: https://orcid.org/0000-0002-4764-5311, Uchôa, Jéssica ORCID: https://orcid.org/0000-0001-6165-8381 and Gil, Artur ORCID: https://orcid.org/0000-0003-4450-8167 (2024). A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021). "Land", v. 13 (n. 5); ISSN 2073-445X. https://doi.org/10.3390/land13050666.

Descripción

Título: A Land Cover Change Detection Approach to Assess the Effectiveness of Conservation Projects: A Study Case on the EU-Funded LIFE Projects in São Miguel Island, Azores (2002–2021)
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Land
Fecha: 12 Mayo 2024
ISSN: 2073-445X
Volumen: 13
Número: 5
Materias:
ODS:
Palabras Clave Informales: Remote sensing; oceanic islands; Python; Rao’s Q; land use; land cover; open data; Google Earth Engine; Google Colab
Escuela: E.T.S.I. Montes, Forestal y del Medio Natural (UPM)
Departamento: Ingeniería y Gestión Forestal y Ambiental
Licencias Creative Commons: Reconocimiento

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Resumen

Small oceanic islands, such as São Miguel Island in the Azores (Portugal), face heightened susceptibility to the adverse impacts of climate change, biological invasions, and land cover changes, posing threats to biodiversity and ecosystem functions and services. Over the years, persistent conservation endeavors, notably those supported by the EU LIFE Programme since 2003, have played a pivotal role in alleviating biodiversity decline, particularly in the eastern region of São Miguel Island. This study advocates the application of remote sensing data and techniques to support the management and effective monitoring of LIFE Nature projects with land cover impacts. A land cover change detection approach utilizing Rao’s Q diversity index identified and assessed changes from 2002 to 2021 in intervention areas. The study analyzed the changes in LIFE project areas using ASTER, Landsat 8, and Sentinel 2 data through Google Earth Engine on Google Colab (with Python). This methodological approach identified and assessed land cover changes in project intervention areas within defined timelines. This technological integration enhances the potential of remote sensing for near-real-time monitoring of conservation projects, making it possible to assess their land cover impacts and intervention achievements.

Más información

ID de Registro: 89765
Identificador DC: https://oa.upm.es/89765/
Identificador OAI: oai:oa.upm.es:89765
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10221379
Identificador DOI: 10.3390/land13050666
URL Oficial: https://www.mdpi.com/2073-445X/13/5/666
Depositado por: iMarina Portal Científico
Depositado el: 02 Jul 2025 09:36
Ultima Modificación: 23 Mar 2026 15:37