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Application of Remote Sensing and GIS for Promoting Sustainable Geoenvironment

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A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: 27 July 2024 | Viewed by 1166

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Special Issue Editors

Dr. Hariklia D. Skilodimou

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Guest Editor

Department of Geology, University of Patras, ZC 26504 Patras, Greece
Interests: GIS; geological mapping; environmental geology; natural hazards; land use planning
Special Issues, Collections and Topics in MDPI journals

Dr. George D. Bathrellos

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Marine Geology & Geodynamics, Sector of General, Department of Geology, University of Patras, ZC 26504 Patras, Greece
Interests: natural hazards; urban planning; geomorphology; modeling
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Prof. Dr. Konstantinos G. Nikolakopoulos

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Guest Editor

Applied Geology & Geophysics, Department of Geology, University of Patras, ZC 26504 Patras, Greece
Interests: GIS; remote sensing; photogrammetery; hydrology; geological mapping
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the Earth’s growing population, the environment faces a wide array of new challenges. Detailed knowledge, as well as continuous monitoring and evaluation of the environment, is crucial to promote a sustainable geological environment. In recent decades, remote sensing (RS) has made it possible to gather huge quantities of geographical information and data. Additionally, a Geographical Information System (GIS) serves as an outstanding and effective tool in the spatial analysis of various natural phenomena. The integration of RS with GIS further enhance the process of collating and updating multiple information, thereby offering a cost-effective way for environmental monitoring, evaluation, and change detection. These geospatial technologies are particularly helpful for both basic and applied geology, mapping, characterizing natural resources, assessing contaminated environment risk, estimating natural hazards, identifying community susceptibility to hazards, and land use planning. Therefore, RS and GIS have become necessary tools in addressing geoenvironment.

This Special Issue aims to present research on the application of RS and GIS in addressing geoenvironmental phenomena, underscoring how and why monitoring and evaluating changes in the environment are rather important to encourage the geological environment's sustainability and ensure a good quality of human life. This Special Issue invites submissions of original research articles and reviews. Potential topics may include (but are not limited to) the following:

Environmental pollution, air, water and soil pollution/degradation, waste, hazardous materials incidents, pipelines, radiological events, transportation, salinization, desertification, fires, land use changes, infrastructure failure, natural resource depletion, coastline changes, and loss of biodiversity;
Land use, urban planning, climate changes, and natural resource supply;
All types of atmospheric, hydrologic, geologic and geomorphologic phenomena;
Natural hazards.

We look forward to receiving your submissions.

Dr. Hariklia D. Skilodimou
Dr. George D. Bathrellos
Prof. Dr. Konstantinos G. Nikolakopoulos
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. Sustainability 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 resourses
mapping
natural hazards
environental pollution
planning

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Research

23 pages, 4271 KiB

Open AccessArticle

Urban Ecological Quality Assessment Based on Google Earth Engine and Driving Factors Analysis: A Case Study of Wuhan City, China

by Weiwei Zhang, Wanqian Zhang, Jianwan Ji and Chao Chen

Sustainability 2024, 16(9), 3598; https://doi.org/10.3390/su16093598 - 25 Apr 2024

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Abstract

Ecological quality is a critical factor affecting the livability of urban areas. Remote sensing technology enables the rapid assessment of ecological quality (EQ), providing scientific theoretical support for the maintenance and management of urban ecology. This paper evaluates and analyzes the EQ and its driving factors in the city of Wuhan using remote sensing data from five periods: 2001, 2006, 2011, 2016, and 2021, supported by the Google Earth Engine (GEE) platform. By employing principal component analysis, a Remote Sensing Ecological Index (RSEI) was constructed to assess the spatiotemporal differences of EQ in Wuhan City. Furthermore, the study utilized the optimal parameter-based geographical detector model to analyze the influence of factors such as elevation, slope, aspect, population density, greenness, wetness, dryness, and heat on the RSEI value in 2021 and further explored the impact of changes in precipitation and temperature on the EQ in Wuhan. The results indicate that (1) principal component analysis shows that greenness and wetness positively affect Wuhan’s EQ, while dryness and heat have negative impacts; (2) spatiotemporal analysis reveals that from 2001 to 2021, the EQ in Wuhan showed a trend of initial decline followed by improvement, with the classification grades evolving from poor and average to good and better; (3) the analysis of driving factors shows that all nine indicators have a certain impact on the EQ in Wuhan, with the influence ranking as NDVI > NDBSI > LST > WET > elevation > population density > GDP > slope > aspect; (4) the annual average temperature and precipitation in Wuhan have a non-significant impact on the EQ. The EQ in Wuhan has improved in recent years, but comprehensive management still requires enhancement. Full article

(This article belongs to the Special Issue Application of Remote Sensing and GIS for Promoting Sustainable Geoenvironment)

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25 pages, 7390 KiB

Open AccessArticle

Research on the Spatio-Temporal Changes of Vegetation and Its Driving Forces in Shaanxi Province in the Past 20 Years

by Ming Shi, Fei Lin, Xia Jing, Bingyu Li, Jingsha Qin, Manqi Wang, Yang Shi and Yimin Hu

Sustainability 2023, 15(23), 16468; https://doi.org/10.3390/su152316468 - 30 Nov 2023

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Abstract

(1) Background: Vegetation is an important component of ecosystems. Investigating the spatio-temporal dynamic changes in vegetation in various Shaanxi Province regions is crucial for the preservation of the local ecological environment and sustainable development. (2) Methods: In this study, the KNDVI vegetation index over the 20-year period from 2003 to 2022 was calculated using MODIS satellite image data that was received from Google Earth Engine (GEE). Sen and MK trend analysis as well as partial correlation analysis were then utilized to examine the patterns in vegetation change in various Shaanxi Province regions. This paper selected meteorological factors, such as potential evapotranspiration (PET), precipitation (PRE), and temperature (TMP); human activity factors, such as land-use type and population density; and terrain factors, such as surface elevation, slope direction, and slope gradient, as the influencing factors for vegetation changes in the research area in order to analyze the driving forces of vegetation spatio-temporal changes. These factors were analyzed using a geo-detector. (3) Results: The vegetation in the research area presented a growth trend from 2003 to 2022, and the area of vegetation improvement was 189,756 km², accounting for 92.15% of the total area. Among them, the area of significantly improved regions was 174,262 km², accounting for 84.63% of the total area, and the area of slightly improved regions was 15,495 square kilometers, accounting for 7.52% of the total area. (4) Conclusions: The strengthening of bivariate factors and nonlinear enhancement were the main interaction types affecting vegetation changes. The combination of interaction factors affecting vegetation change in Shaanxi Province includes PRE ∩ PET as well as TMP ∩ PET. Therefore, climate conditions were the main driving force of KNDVI vegetation changes in Shaanxi Province. The data supported by this research are crucial for maintaining the region’s natural ecosystem. Full article

(This article belongs to the Special Issue Application of Remote Sensing and GIS for Promoting Sustainable Geoenvironment)

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