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Remote Sensing for Land Cover/Land Use Mapping at Local and Regional Scales: Part II

A special issue of Remote Sensing (ISSN 2072-4292).

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 4622

Special Issue Editors


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Guest Editor
Division of Geotechnical Engineering, School of Civil Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece
Interests: remote sensing; land-use/land-cover (LULC) mapping; photogrammetry; unmanned aerial systems (UAS); LiDAR; GIS; 3D modeling; mobile mapping systems; image analysis
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Special Issue Information

Dear Colleagues,

More than ever, there is a need from policy and decision makers, national governments, non-governmental organizations, international initiatives, scientists, and individual citizens for timely and accurate spatially-explicit information on the physical cover of the Earth's surface, as well as the socio-economic function of land at multiple scales. Information on land-cover and land-use patterns and the monitoring of their changes can support regional policies and local action for sustainable development, in terms of efficiency in resources use, disaster risk reduction, and environmental protection.

As the processes and driving forces of change usually operate at multiple scales, it is important to capture and synthesize information on the land-cover and land-use patterns in regional, wall-to-wall maps, as well as at sub-regional, national, and local scales.

Nowadays, the availability of satellite data with improved characteristics at low or no cost, the technological evolution of unmanned aerial systems in terms of autonomy and payload capacity, the introduction of robust algorithms, and the advent of the data processing and distribution technology have motivated the progress of research and efforts from the remote-sensing community in order to cover the information needs for land-use/land-cover mapping at appropriate scales.

However, several challenges still exist, related, among others, to the development of stable processing approaches, and local and regional products with higher spatial and temporal resolutions, as well as improved thematic content, multi-sensor and multi-platform fusion (i.e., UAS-satellite), web-processing services and big data analysis, consistency and harmonization of the information content among existing regional and local products, existing data gaps, and lack of standardized validation procedures.

This Special Issue calls for submissions presenting new conceptual frameworks and novel remote-sensing approaches addressing the above-mentioned challenges, new or improved geospatial tools for extracting local and regional land-use and land-cover information from multiple remote sensing data sources, and sectoral and interdisciplinary research.

Review papers presenting the status and progress, as well as the remaining challenges, are also welcomed.


Dr. Giorgios Mallinis
Dr. Charalampos Georgiadis
Guest Editors

Manuscript Submission Information

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Keywords

  • Regional and local land-use land-cover
  • Cloud-computing
  • Objects
  • Change detection
  • LULC
  • Multi-temporal
  • Satellite
  • UAV
  • UAS
  • Vegetation
  • Forestry
  • Agriculture
  • Urban
  • Data and algorithm fusion
  • Classification

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Published Papers (1 paper)

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Research

27 pages, 4128 KiB  
Article
Cross-Border Urban Change Detection and Growth Assessment for Mexican-USA Twin Cities
by Alexander Fekete and Peter Priesmeier
Remote Sens. 2021, 13(21), 4422; https://doi.org/10.3390/rs13214422 - 3 Nov 2021
Cited by 5 | Viewed by 3605
Abstract
Remote sensing applications of change detection are increasingly in demand for many areas of land use and urbanization, and disaster risk reduction. The Sendai Framework for Disaster Risk Reduction and the New Urban Agenda by the United Nations call for risk monitoring. This [...] Read more.
Remote sensing applications of change detection are increasingly in demand for many areas of land use and urbanization, and disaster risk reduction. The Sendai Framework for Disaster Risk Reduction and the New Urban Agenda by the United Nations call for risk monitoring. This study maps and assesses the urban area changes of 23 Mexican-USA border cities with a remote sensing-based approach. A literature study on existing studies on hazard mapping and social vulnerability in those cities reveals a need for further studies on urban growth. Using a multi-modal combination of aerial, declassified (CORONA, GAMBIT, HEXAGON programs), and recent (Sentinel-2) satellite imagery, this study expands existing land cover change assessments by capturing urban growth back to the 1940s. A Geographic Information System and census data assessment results reveal that massive urban growth has occurred on both sides of the national border. On the Mexican side, population and area growth exceeds the US cities in many cases. In addition, flood hazard exposure has grown along with growing city sizes, despite structural river training. These findings indicate a need for more risk monitoring that includes remote sensing data. It has socio-economic implications, too, as the social vulnerability on Mexican and US sides differ. This study calls for the maintenance and expansion of open data repositories to enable such transboundary risk comparisons. Common vulnerability variable sets could be helpful to enable better comparisons as well as comparable flood zonation mapping techniques. To enable risk monitoring, basic data such as urban boundaries should be mapped per decade and provided on open data platforms in GIS formats and not just in map viewers. Full article
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