Remote Sensing in Coastal Ecosystem Monitoring II

Dear colleagues,

Coastal locations and their adjacent areas are characterized by wide biodiversity, ecosystem variety, and remarkable biological productivity. Their high accessibility and the many ecosystem services they provide have made them areas of major economic and social importance for millennia.

In recent decades, the development and utilization of coastal zones have greatly increased, with even higher rates of population growth. Coasts are undergoing continuous pressure and degradation with huge socioeconomic and environmental changes. Climate change, urbanization, and agricultural intensification are the main drivers of these trends.

Quantitative and qualitative assessments of coastal areas are essential to guarantee the preservation of their ecological wealth and economic importance. Proper conservation and management actions require the continuous monitoring and mapping of their spatial distribution, landscape pattern, land cover/land use changes, etc.

Native vegetation in coastal areas plays an important role in determining morphology, stabilizing the surface, and providing a habitat for wildlife. The monitoring and conservation of coastal vegetation are important for the long-term protection of coastal ecosystems. Evaluating changes at the land use/land cover (LU/LC), vegetation, and habitat levels implies different thematic and spatial scales of observation, and is essential in the development of efficient management strategies.

Remote sensing techniques have proven to be powerful and cost-effective tools for the long-term monitoring of the Earth’s surface on a global, regional, and even local scale, by providing important coverage, mapping, and classification of land cover features such as vegetation, soil, and water.

We are inviting submissions including, but not limited to, the following topics:

• Multiscale and long-term monitoring in coastal areas;
• Use of expert knowledge for vegetation/habitat identification and classification in coastal areas;
• Monitoring LC/LU and habitat changes in coastal environments;
• Phenology trends and changes in coastal vegetation types;
• Sand dune systems;
• Coastal wetlands;
• Coastal urbanization trends;
• Coastal erosion.

This Special Issue is the second edition of the Special Issue “Remote Sensing in Coastal Ecosystem Monitoring”.

Dr. Valeria Tomaselli
Dr. Maria Adamo
Cristina Tarantino
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.

• coastal vegetation
• habitat
• land cover and land use
• classification
• mapping
• change detection
• phenological characterization of vegetation communities
• EO data classification
• time-series data
• spatial statistics

• Remote Sensing in Coastal Ecosystem Monitoring in Remote Sensing (9 articles)