Contribution of Remote Sensing Technologies to a Holistic Coastal and Marine Environmental Management Framework: A Review
| Autor: | Ilias Kacimi, Badr El Mahrad, Maria Snoussi, Alice Newton, John Icely, Samuel Abalansa |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Environmental policies and directives
010504 meteorology & atmospheric sciences Computer science Science WFD ComputerApplications_COMPUTERSINOTHERSYSTEMS 010501 environmental sciences 01 natural sciences remote sensing Marine Strategy Framework Directive Resource (project management) Coastal and marine management DPSIR Agency (sociology) MSFD 0105 earth and related environmental sciences Remote sensing Sustainable development Data collection business.industry Environmental resource management coastal and marine management Water Framework Directive Remote sensing (archaeology) General Earth and Planetary Sciences environmental policies and directives business ocean health index sustainable development goals |
| Zdroj: | Remote Sensing; Volume 12; Issue 14; Pages: 2313 Remote Sensing, Vol 12, Iss 2313, p 2313 (2020) Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 2072-4292 |
| DOI: | 10.3390/rs12142313 |
| Popis: | Coastal and marine management require the evaluation of multiple environmental threats and issues. However, there are gaps in the necessary data and poor access or dissemination of existing data in many countries around the world. This research identifies how remote sensing can contribute to filling these gaps so that environmental agencies, such as the United Nations Environmental Programme, European Environmental Agency, and International Union for Conservation of Nature, can better implement environmental directives in a cost-e ective manner. Remote sensing (RS) techniques generally allow for uniform data collection, with common acquisition and reporting methods, across large areas. Furthermore, these datasets are sometimes open-source, mainly when governments finance satellite missions. Some of these data can be used in holistic, coastal and marine environmental management frameworks, such as the DAPSI(W)R(M) framework (Drivers–Activities–Pressures–State changes–Impacts (on Welfare)–Responses (as Measures), an updated version of Drivers–Pressures–State–Impact–Responses. The framework is a useful and holistic problem-structuring framework that can be used to assess the causes, consequences, and responses to change in the marine environment. Six broad classifications of remote data collection technologies are reviewed for their potential contribution to integrated marine management, including Satellite-based Remote Sensing, Aerial Remote Sensing, Unmanned Aerial Vehicles, Unmanned Surface Vehicles, Unmanned Underwater Vehicles, and Static Sensors. A significant outcome of this study is practical inputs into each component of the DAPSI(W)R(M) framework. The RS applications are not expected to be all-inclusive; rather, they provide insight into the current use of the framework as a foundation for developing further holistic resource technologies for management strategies in the future. A significant outcome of this research will deliver practical insights for integrated coastal and marine management and demonstrate the usefulness of RS to support the implementation of environmental goals, descriptors, targets, and policies, such as theWater Framework Directive, Marine Strategy Framework Directive, Ocean Health Index, and United Nations Sustainable Development Goals. Additionally, the opportunities and challenges of these technologies are discussed. Murray Foundation: 25.26022020 info:eu-repo/semantics/publishedVersion |
| Databáze: | OpenAIRE |
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