Special Issue "GIS and RS in Ocean, Island and Coastal Zone"
Deadline for manuscript submissions: 31 December 2021.
Interests: high-dimension spatiotemporal big data; coastal zone remote sensing; marine GIS
Interests: marine spatiotemporal data mining; marine GIS
Interests: coastal wetland remote sensing; spatial evolution processing of coastal wetland
Islands and coastal zones are ocean and land interaction zones, and have great economic, scientific and national-defense value. Due to the impacts of human activities (terrestrial pollutant discharge and urbanization) and the natural environment (global sea level rises and extreme weather), islands and coastal zones have become high-risk areas in the world. These areas 1) face rapid morphological changes, which need high-flexibility, time-efficient and high-resolution monitoring methods; 2) have both huge development space and high fragility, which calls for exploring a scientific carrying-capacity framework for resource utilization and spatial management; and 3) have multisource data support provided by spatiotemporal big data, but lack an analysis framework and platforms for their sustainable development.
The innovations encouraged include but are not limited to:
1. The high-resolution, high-efficiency monitoring of island and coastal zones:
Coastline-type classification based on multi-source data;
Typical category monitoring (including coral reefs, mangroves, salt marshes, etc.);
Feature extraction (ships, fishing grounds, etc.).
2.The carrying-capacity evaluation of island and coastal zones:
Theories and methods for using big data in evaluating the carrying capacity of island and coastal zones;
The integrated application of multisource spatiotemporal big data including ecology, social economy, environment, disasters, etc.;
A carrying-capacity evaluation framework and scale effects;
The improved regional adaptability of evaluation indicators.
3. Applications for the sustainable development of island and coastal zones:
Integrated organization and management technology for spatial data (remote-sensing data and locations) and non-spatial data (text and pictures) of island and coastal zones;
A spatiotemporal big data mining model and analysis framework;
The future-scenario simulation of island and coastal zones.
Prof. Fenzhen Su
Prof. Cunjin Xue
Dr. Han Xiao
Manuscript Submission Information
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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 2400 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.
- Island and coastal zones
- High-efficiency monitoring
- Carrying capacity
- Spatiotemporal big data mining
- Sustainable development