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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: closed (30 November 2021) | Viewed by 8031

Special Issue Editor

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

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Keywords

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

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Published Papers (3 papers)

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Research

20 pages, 3378 KiB  
Article
Impact of Land Cover Changes on the Availability of Water Resources in the Regional Natural Park Serranía de Las Quinchas
by Yuddy Alejandra Castro Ortegón, Julio César Acosta-Prado and Pedro Mauricio Acosta Castellanos
Sustainability 2022, 14(6), 3237; https://doi.org/10.3390/su14063237 - 10 Mar 2022
Cited by 4 | Viewed by 2636
Abstract
Protected areas offer environmental goods and services to local communities, who have based their aptitude on the availability of water resources with practices associated with the legacy of their ancestors. The purpose of this paper is to evaluate the impact of changes in [...] Read more.
Protected areas offer environmental goods and services to local communities, who have based their aptitude on the availability of water resources with practices associated with the legacy of their ancestors. The purpose of this paper is to evaluate the impact of changes in land cover on the availability of water resources in the Serrania de Las Quinchas Regional Natural Park (PNRSQ), located in the department of Boyacá, Colombia. The SWAT tool and the Corine Land Cover methodology were used between 2008 and 2017. In addition, data of hydrometeorological tests were used to determine the water behavior of the basin together with the Digital Elevation Model (DEM). The results show that after the declaration of the area as a protection zone in 2008, there have been changes in the land cover producing a greater availability of water resources and the partial restoration of the study area. Additionally, hydrological modeling allowed knows the behavior of the basin under different conditions. The resulting information allows decision-makers to evaluate the best options to guarantee water resources and generate strategies that allow communities to reinvent their way of production and adapt to ecosystem conditions without affecting their ecological functioning. Full article
(This article belongs to the Special Issue Multi-Temporal Analysis of Landscapes and Urban Areas)
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26 pages, 9401 KiB  
Article
A Diachronic Analysis of a Changing Landscape on the Duero River Borderlands of Spain and Portugal Combining Remote Sensing and Ethnographic Approaches
by Kyle P. Hearn and Jesús Álvarez-Mozos
Sustainability 2021, 13(24), 13962; https://doi.org/10.3390/su132413962 - 17 Dec 2021
Cited by 4 | Viewed by 2052
Abstract
The Arribes del Duero region spans the border of both Spain and Portugal along the Duero River. On both sides of the border, the region boasts unique human-influenced ecosystems. The borderland landscape is dotted with numerous villages that have a history of maintaining [...] Read more.
The Arribes del Duero region spans the border of both Spain and Portugal along the Duero River. On both sides of the border, the region boasts unique human-influenced ecosystems. The borderland landscape is dotted with numerous villages that have a history of maintaining and managing an agrosilvopastoral use of the land. Unfortunately, the region in recent decades has suffered from massive outmigration, resulting in significant rural abandonment. Consequently, the once-maintained landscape is evolving into a more homogenous vegetative one, resulting in a greater propensity for wildfires. This study utilizes an interdisciplinary, integrated approach of “bottom up” ethnography and “top down” remote sensing data from Landsat imagery, to characterize and document the diachronic vegetative changes on the landscape, as they are perceived by stakeholders and satellite spectral analysis. In both countries, stakeholders perceived the current changes and threats facing the landscape. Remote sensing analysis revealed an increase in forest cover throughout the region, and more advanced, drastic change on the Spanish side of the study area marked by wildfire and a rapidly declining population. Understanding the evolution and history of this rural landscape can provide more effective management and its sustainability. Full article
(This article belongs to the Special Issue Multi-Temporal Analysis of Landscapes and Urban Areas)
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16 pages, 5202 KiB  
Article
An Improved Method for Urban Built-Up Area Extraction Supported by Multi-Source Data
by Chengming Li, Xiaoyan Wang, Zheng Wu, Zhaoxin Dai, Jie Yin and Chengcheng Zhang
Sustainability 2021, 13(9), 5042; https://doi.org/10.3390/su13095042 - 30 Apr 2021
Cited by 14 | Viewed by 2471
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)
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