Special Issue "Multi-Temporal Analysis of Landscapes and Urban Areas"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability, Biodiversity and Conservation".

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editor

Dr. Erica Nocerino
E-Mail Website
Guest Editor
LIS Laboratory - Laboratoire d'informatique et Systèmes, I&M Team - Images & Models, Aix-Marseille Université, CNRS, ENSAM, Université De Toulon, Polytech, Luminy, Bat. A, case 925, 163 avenue de Luminy, 13288 Marseille, CEDEX 9, France
Interests: photogrammetry, surveying; laser scanning; 3D modelling; quality control; inspection; verification; automation; monitoring; underwater; calibration; image processing
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Analysis and understanding of temporal changes of natural and anthropized areas are of key importance today to deduce, monitor and predict their evolution. Landscapes represent both human and ecological ecosystems, requiring a multifaceted approach to perceive and protect their delicate and complex significance.

On one hand, over an extended temporal scale, historical data may provide valuable sources of information that have not been fully exploited yet. On the other, the monitoring of a specific landscape or area of interest with newly acquired and up-to-date data may support a detailed diagnosis on a smaller temporal span. In both cases, the latest hardware and algorithmic solutions can bring new insights and open unprecedented lines of investigation.

The aim of this Special Issue is to tackle these topics from different perspectives and scales, and we invite manuscripts on sensing techniques for monitoring and change detection applications in archeology, ecology, urban development and planning.

Dr. Erica Nocerino
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 papers will be 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 1900 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

  • spatio-temporal analysis
  • sensor calibration and data fusion for multitemporal analysis
  • sensing techniques and approaches for change detection
  • landscape monitoring

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
An Improved Method for Urban Built-Up Area Extraction Supported by Multi-Source Data
Sustainability 2021, 13(9), 5042; https://doi.org/10.3390/su13095042 - 30 Apr 2021
Viewed by 329
Abstract
Urban built-up areas, where urbanization process takes place, represent well-developed areas in a city. The accurate and timely extraction of urban built-up areas has a fundamental role in the comprehension and management of urbanization dynamics. Urban built-up areas are not only a reflection [...] Read more.
Urban built-up areas, where urbanization process takes place, represent well-developed areas in a city. The accurate and timely extraction of urban built-up areas has a fundamental role in the comprehension and management of urbanization dynamics. Urban built-up areas are not only a reflection of urban expansion but also the main space carrier of social activities. Recent research has attempted to integrate the social factor to improve the extraction accuracy. However, the existing extraction methods based on nighttime light data only focus on the integration of a single factor, such as points of interest or road networks, which leads to weak constraint and low accuracy. To address this issue, a new index-based methodology for urban built-up area extraction that fuses nighttime light data with multisource big data is proposed in this paper. The proposed index, while being conceptually simple and computationally inexpensive, can extract the built-up areas efficiently. First, a new index-based methodology, which integrates nighttime light data with points-of-interest, road networks, and the enhanced vegetation index, was constructed. Then, based on the proposed new index and the reference urban built-up data area, urban built-up area extraction was performed based on the dynamic threshold dichotomy method. Finally, the proposed method was validated based on actual data in a city. The experimental results indicate that the proposed index has high accuracy (recall, precision and F1 score) and applicability for urban built-up area boundary extraction. Moreover, this paper discussed different existing urban area extraction methods, and provides an insight into the appropriate approaches selection for further urban built-up area extraction in cities with different conditions. Full article
(This article belongs to the Special Issue Multi-Temporal Analysis of Landscapes and Urban Areas)
Show Figures

Figure 1

Back to TopTop