Remote Sensing

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Special Issue Information

Dear Colleagues,

This is the second Special Issue concerning the contributions of remote sensing to the ‘Applications of Geographic Information System and 3D City Modelling for Sustainable Urban Planning’.

Rapid urban development has resulted in environmental problems linked to unsustainable transport, housing, waste, energy, and land use management. These crises draw attention to the development of strategies and solutions that ensure self-sustaining and healthier communities, with longer life expectancies for all. They may incorporate, amongst other attributes, green buildings and housing, walkability, greenways and open spaces, alternative energy sources such as solar and wind and good sustainable land use and transportation options.

The challenge of attaining these goals has made geographic information systems (GIS) useful to urban planners. By processing two-dimensional and three-dimensional geospatial data from satellite imaging, aerial photography, and remote sensors, in combination with environmental and socioeconomic variables, GIS technology offers the means to input, manage, and synthesize information rapidly. It also provides a detailed perspective on land and infrastructure, thereby improving the base of decision making for practitioners and other participants in the processes of urban planning.

We encourage you to submit original research papers and technical or review articles to this Special Issue, placing particular emphasis on the applications of GIS and 3D city models in urban development strategies towards sustainability in order to generate new solutions to urban issues while improving quality of life and urban resilience.

Dr. Iván Puente-Luna
Dr. Xavier Núñez-Nieto
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. 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.

Related Special Issue

Published Papers (2 papers)

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Research

14 pages, 2219 KiB

Open AccessArticle

Surveillance Video Georeference Method Based on Real Scene Model with Geometry Priors

by Zhongxian Zhou, Jianchen Liu, Miaomiao Feng and Yuwei Cong

Remote Sens. 2023, 15(17), 4217; https://doi.org/10.3390/rs15174217 - 28 Aug 2023

Viewed by 791

Abstract

With the comprehensive promotion of digital construction in China, cameras scattered throughout the country are of great significance in obtaining first-hand data. However, their potential role is limited due to the lack of georeference information on current surveillance cameras. Provided surveillance camera images and real scenes are combined and given georeference information, this problem can be solved, allowing cameras to generate significant social benefits. This article proposed an accurate registration method based on misalignment calibration and least squares matching between real scene and surveillance camera images to address this issue. Firstly, it is necessary to convert the navigation coordinate system from which cameras obtain data to the photogrammetric coordinate system and then solve for the misalignment and internal orientation elements of the camera. Then, accurate registration is achieved using the least squares matching on pyramid images. The experiment obtained surrounding image data of two common scenes with lens pitch angles of 45°, 55°, 65°, 75°, and 85° using the surveillance camera and obtained a 3D real scene model of each scene using a low-altitude aircraft. The experiment results show that the proposed method in this paper can achieve the expected goals of accurately matching real scene and surveillance camera images and assigning georeference information. Through extensive data analysis, the success rate and accuracy rate of registration are 98.1% and 97.06%, respectively. Full article

(This article belongs to the Special Issue Applications of GIS and 3D City Modelling for Sustainable Urban Planning—from Remote Sensing Perspective)

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26 pages, 12317 KiB

Open AccessArticle

Landfill Site Selection Using Multi-Criteria Decision Analysis, Remote Sensing Data, and Geographic Information System Tools in Najran City, Saudi Arabia

by Ismail Elkhrachy, Ali Alhamami and Saleh H. Alyami

Remote Sens. 2023, 15(15), 3754; https://doi.org/10.3390/rs15153754 - 28 Jul 2023

Cited by 3 | Viewed by 1613

Abstract

Many practical issues arise when dealing with solid waste management, and there are also environmental effects to be considered. Selecting landfill sites requires extra care with respect to many factors such as the environment, health hazards for people, and the cost of transportation. Furthermore, cities have their own rules, methods, and practices for managing and selecting the best locations for collecting solid waste. In this research, multi-criteria decision analysis (MCDA) was presented and used to evaluate the appropriateness of and suggest the best locations for landfill sites in Najran, KSA. Some remote sensing data and the ArcGIS software were used to prepare nine thematic layers, including drainage density, groundwater depth, land use, soil type, road network, surface elevation, surface slope, distance from residential areas, and distance from protected areas. To evaluate the layer weightings, a questionnaire with pairwise comparisons was distributed among experts and analyzed using the analytical hierarchy process (AHP) and fuzzy set technique. The one-factor-at-a-time (OFAT) sensitivity test was conducted to test the sensitivity of the evaluated weightings. A landfill suitability index (LSI) map was created using raster calculator tools and divided into five classes: limited suitability (LSI value 1.39–2.49), least suitable (2.50–3.03), relatively suitable (3.04–3.48), suitable (3.49–3.91), and most suitable (3.92–4.66). According to the statistical analysis, 18.0% and 18.2% of the total area were within the most suitable and suitable landfill regions, while 21.2%, 14.9%, and 9.5% accounted for relatively suitable, least suitable, and limited suitability areas, respectively. The employed technique and its findings can provide an appropriate guideline to assist the municipality of Najran city, regional planners, and decision-makers in selecting an optimal landfill site in the future. This study also presented some recommendations to enhance the suitability map of landfill sites in Najran city. Full article

(This article belongs to the Special Issue Applications of GIS and 3D City Modelling for Sustainable Urban Planning—from Remote Sensing Perspective)

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