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Applications of Remote Sensing for Natural Hazard and Environment Monitoring

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 874

Special Issue Editors


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Guest Editor
1. ERATOSTHENES Centre of Excellence, 3012 Limassol, Cyprus
2. Department of Civil Engineering and Geomatics, Cyprus University of Technology, 3036 Limassol, Cyprus
Interests: disaster risk reduction; SAR interferometry; coherent change detection; deformation monitoring; natural hazards monitoring; remote sensing; GIS for environmental surveillance, and transport planning

E-Mail Website
Guest Editor
Department of Civil Engineering and Geomatics, Cyprus University of Technology, Limassol, Cyprus
Interests: geodesy; GNSS; InSAR; deformation monitoring; monitoring infrastructures; precise positioning; infrastructure resilience; calibration/validation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
National Observatory of Athens, Metaxa & Vasileos Pavlou Street, Athens, Greece
Interests: earth observation; big satellite data analysis; SAR interferometry; EO disaster management; GEO/Copernicus; data hubs
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Civil Engineering and Computer Science Engineering, University of Rome “Tor Vergata”, Via del Politecnico, 1, 00133 Rome, Italy
Interests: applications of machine learning to remote sensing; image processing; retrieval of atmospheric variables from satellite data; SAR applications; hyperspectral data processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Natural hazards can lead to severe damage to the environment and to society, not only in the areas where such events occur, but also in neighboring regions or entire countries. In recent years, climate change and other factors have led to the amplification of such events and also to them occurring more frequently. The integration of Earth observation-based methodologies into data collected from multiple sensors combines the advantages of these data sources and systematically provides critical, reliable, and up-to-date information, covering a wide range of multidisciplinary scientific topics related to natural hazards and environmental monitoring applications.

From this perspective, research efforts are needed to develop methods and tools for the integration of sensors with different spatial, spectral, and temporal characteristics. This is expected to enhance the capabilities of EO-sensor-driven approaches and strategies to mitigate the disastrous effects of natural hazards and expand our multi-temporal and multi-scale monitoring of the environment. This Special Issue aims to collect high-quality contributions to the advancement of satellite remote-sensing technologies/solutions for environmental monitoring and natural hazard detection, monitoring and modelling, risk and impact assessments, disaster management, early warning systems, and decision support systems for the following:

  • Geohazards: earthquakes, landslides, soil erosion, land degradation/desertification, etc.
  • Forest fires: burnt-area mapping, fire monitoring and spread, etc.
  • Hydrometeorological hazards: floods, extreme weather events, etc.
  • Epidemics/health.
  • Multi-hazards: the combination of two or more of the hazards mentioned above.

Dr. Marios Tzouvaras
Dr. Chris Danezis
Dr. Charalampos Kontoes
Prof. Dr. Fabio Del Frate
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. Applied Sciences 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.

Keywords

  • natural hazards
  • environmental monitoring
  • deformation monitoring
  • change detection
  • SAR
  • multispectral data
  • GIS
  • time series analysis
  • big data
  • data fusion

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Published Papers (1 paper)

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Research

31 pages, 9887 KiB  
Article
Deforestation and Forest Degradation Detection in the Brazilian Amazon: A Comparative Analysis of Two Areas and Their Conservation Units
by Danielle Nogueira Lopes and Satoshi Tsuyuki
Appl. Sci. 2024, 14(22), 10504; https://doi.org/10.3390/app142210504 - 14 Nov 2024
Viewed by 538
Abstract
This study analyzed land use and land cover (LULC) changes to identify the levels of deforestation and forest degradation in two locations in the Amazon rainforest and their conservation units. Using Sentinel-2 satellite imagery and object-based image classification, yearly LULC maps were created [...] Read more.
This study analyzed land use and land cover (LULC) changes to identify the levels of deforestation and forest degradation in two locations in the Amazon rainforest and their conservation units. Using Sentinel-2 satellite imagery and object-based image classification, yearly LULC maps were created from 2018 to 2023. Disturbances were then quantified by Primary Forest conversions. This study revealed a gain of around 22,362 ha in Secondary Forest areas in Manaus and 29,088 ha in Agriculture/Pastureland in Porto Velho within the study period. Differing yearly rates of deforestation and degradation were detected between the areas, with agriculture/pastureland expansion being observed as the primary driver of forest loss. State and federal units showed the largest conversion of primary to Secondary Forest, while state units experienced the most conversion to non-forest areas. Sustainable use units and buffer zones were particularly impacted by these disturbances. These findings suggest that factors beyond environmental policies contribute to these outcomes, highlighting the importance of understanding local contexts. Comparing areas with varying degradation levels provides insights into the effectiveness of restoration and conservation efforts. Full article
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