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)

IF 4.7 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-05-12 DOI:10.3390/land13050666

Rafaela Tiengo, Silvia Merino-De-Miguel, Jéssica Uchôa, Artur Gil

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Abstract

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.

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评估保护项目有效性的土地覆盖变化检测方法：亚速尔群岛圣米格尔岛欧盟资助的 LIFE 项目研究案例（2002-2021 年）

亚速尔群岛（葡萄牙）的圣米格尔岛等海洋小岛更容易受到气候变化、生物入侵和土地覆盖变化的不利影响，对生物多样性以及生态系统功能和服务构成威胁。多年来，坚持不懈的保护工作，特别是自 2003 年以来由欧盟 LIFE 计划支持的工作，在缓解生物多样性衰退方面发挥了关键作用，尤其是在圣米格尔岛东部地区。本研究提倡应用遥感数据和技术来支持管理和有效监测对土地覆被有影响的 LIFE 自然项目。利用 Rao's Q 多样性指数的土地覆被变化检测方法确定并评估了干预区域从 2002 年到 2021 年的变化。该研究利用 ASTER、Landsat 8 和 Sentinel 2 数据，通过 Google Colab 上的 Google 地球引擎（使用 Python）分析了 LIFE 项目区的变化。这种方法确定并评估了项目干预区在规定时间内的土地覆被变化。这种技术整合增强了遥感技术对保护项目进行近实时监测的潜力，使评估其土地覆被影响和干预成果成为可能。

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来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567

期刊介绍： ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/Abstracted： Web of Science SCIE Scopus CAS INSPEC Portico