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Cloud-Based Earth Observations (EO) Applications for Coastal Zone Management

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

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 569

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
CoLAB +ATLANTIC/Edifício LACS, Estrada da Malveira da Serra 920, 2750-834 Cascais, Portugal
Interests: remote sensing; coastal processes; coastal risk & hazards
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
IH Cantabria, Coastal Engineering and Management Group, C/Isabel Torres 15, PCTCAN, 39011 Cantabria, Spain
Interests: coastal processes; coastal dynamics; beach morphodynamics

Special Issue Information

Dear Colleagues,

Coastal zones are home to over half of the world’s population, are major centers of economic activities, and represent some of the most fragile habitats on the planet. Climate change threatens coastal areas, which are already stressed by human activity, pollution, invasive species, and storms. Sea level rise could erode and inundate coastal ecosystems and eliminate wetlands. Warmer and more acidic oceans are likely to disrupt coastal and marine ecosystems. To prevent, mitigate, or adapt to these impacts, coastal zone management requires information about the changes in coastal environments at different temporal and spatial scales. Over the last decade, satellite data have become available in increasing quantities, high frequency resolutions, and at very low to no cost. New cloud-based platforms, such as Google Earth Engine, enable the creation of web-accessible big-data manipulation platforms, which offer scientists and application developers the means to access and use earth observation (EO) data in a quick and cost-effective way. This makes earth observation applications more attractive for addressing coastal zone management challenges. Earth observation provides data cost-effectively and more quickly than conventional methods, delivering wide-area surveillance as well as pin-pointing targeted locations for monitoring specific processes or hazards. In this Special Issue, contributions from a variety of topics (open to submissions from all areas) related to cloud-based EO applied solutions for coastal zone management are welcome, ranging from coastal erosion and inundation risk assessment, oil spill tracking, toxic algae bloom monitoring, wetland coastal squeeze processes, coral bleaching, and glacial monitoring.

Dr. Luis Pedro Almeida
Dr. Paula Gomes da Silva
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.

Published Papers

There is no accepted submissions to this special issue at this moment.
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