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Application of Satellite Remote Sensing in Solving Urban Geo-Environmental Issues II

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

Deadline for manuscript submissions: closed (1 December 2023) | Viewed by 2058

Special Issue Editor


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Guest Editor
1. Department of Electronic Engineering, Hellenic Mediterranean University, 73133 Chania, Greece
2. Institute of Physics of the Earth’s Interior & Geohazards, UNESCO Chair on Solid Earth Physics and Geohazards Risk Reduction, Hellenic Mediterranean University Research Center, 73133 Chania, Greece
Interests: remote sensing applications; natural hazards; geophysics; geoinformatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In our rapidly changing world, it is of great significance to assess the susceptibility of urban and peri-urban areas to geo-environmental hazards such as landslides, collapses, soil erosion, coastal erosion and earthquakes for hazard prevention and mitigation. Moreover, geohazards—especially landslides, but also erosion, karsts and active faults—may pose severe constraints on the structural integrity of crucial infrastructures, while the landscape response to climate change can influence these phenomena.

Remote sensing offers several state-of-the-art technologies (multispectral, hyperspectral, thermal, and radar), techniques (field and laboratory measurements, simulations, satellite, and UAVs), and image-processing methods that can contribute to the modeling and mapping of geo-environmental phenomena in space and time.

This Special Issue focuses on the potential of remote sensing (RS) and Earth observation (EO) to visualize and solve urban and peri-urban geo-environmental issues with the aim to protect the urban population and cultural heritage.

The many sources of remote sensing and Earth observation data are combined with auxiliary data (e.g., geophysical, hydrological, meteorological and soil data), usually in a GIS environment, in order either to map, analyze and/or estimate the spatiotemporal distribution characteristics of geo-hazards.

Authors are encouraged to submit articles on topics including, but not limited to, the following:

  • Detection of geo-environmental changes—multitemporal remote sensing.
  • Multisensors onboard satellites or UAVs: multispectral, hyperspectral, radar and thermal.
  • GIS mapping, modeling and/or monitoring approaches in geo-environmental hazards.
  • Assessing the geo-environmental status and creating innovative solutions using integration between RS and GIS techniques.
  • Remote sensing indices (e.g., built-up indices, vegetation indices, thermal indices).
  • Cultural heritage management and protection.
  • Site selection for infrastructures.

Dr. Maria Kouli
Guest Editor

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.

Keywords

  • geohazards
  • susceptibility mapping
  • cultural heritage protection
  • infrastructures
  • hazard assessment and mitigation
  • multi temporal remote sensing
  • geoinformatics

Published Papers (1 paper)

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Research

18 pages, 26966 KiB  
Article
Factors of Subsidence in Katy, Texas, USA
by Osman Tirmizi and Shuhab D. Khan
Remote Sens. 2023, 15(18), 4424; https://0-doi-org.brum.beds.ac.uk/10.3390/rs15184424 - 08 Sep 2023
Viewed by 1535
Abstract
Coastal communities are susceptible to the damaging effects of land subsidence caused by both natural and anthropogenic processes. The Greater Houston area, situated along the Gulf Coast of Texas, has experienced some of the highest rates of subsidence in the United States. Previous [...] Read more.
Coastal communities are susceptible to the damaging effects of land subsidence caused by both natural and anthropogenic processes. The Greater Houston area, situated along the Gulf Coast of Texas, has experienced some of the highest rates of subsidence in the United States. Previous work has extensively analyzed the role of groundwater levels and oil and gas extraction in land subsidence of the Greater Houston area, but has failed to adequately incorporate other significant contributing factors. In this research, we aim to fill that information gap by analyzing the individual effects of subsidence from multiple different processes including groundwater and hydrocarbon extraction rates with the addition of population growth, total annual precipitation, and total developed area in terms of impervious surfaces. We perform a full resolution InSAR analysis of the Katy area using Sentinel-1 data from 2017 to 2022 and compare contributors of subsidence to vertical displacement rates calculated by GNSS stations through a generalized linear regression analysis. The InSAR results show up to 1.4 cm/yr of subsidence in multiple areas of Katy, and the generalized linear regression results suggest that population growth and total developed area are two of the highest contributors to subsidence in the area. Full article
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