Cited by 1Remote Sensing and Land UseRemote-Sensing Image ClassificationMunicipal Solid Waste Management

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Mapping fast fashion landfills: remote sensing and GIS approach to analyze textile waste

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Stoyanova, Elia, Vitov, Viktor·2025·The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Abstract

Abstract. The rise of fast fashion has led to a surge in textile waste, with discarded clothing often ending up in unregulated landfills, posing significant environmental and social challenges. This has become a pressing global concern, as textile waste contributes significantly to pollution and land degradation. The study area covers an illegal clothing dump located near Iquique, Atacama Desert, Republic of Chile. This research focuses on mapping and analysing fast fashion landfill using remote sensing and Geographic Information Systems (GIS) to uncover the spatial and temporal dynamics of textile waste accumulation. By leveraging satellite imagery and spectral analysis, we identified the spatial extent and the "development" of the illegal clothing dump for the period from November 2016 to November 2024, highlighting their environmental footprint. Spectral analysis techniques were applied to distinguish textile waste from other materials using their unique spectral signatures. Temporal analysis further revealed trends in landfill growth, offering insights into the dynamics of textile waste accumulation.This study emphasizes the utilization of open-source tools and freely accessible data to ensure reproducibility and accessibility. The adoption of open data and open-source software underpins the research's commitment to fostering transparency, reproducibility, and iterative improvements. By leveraging these resources, the study facilitates reusability and innovation in addressing similar environmental challenges. By demonstrating the utility of remote sensing and GIS as scalable, cost-effective tools for monitoring illegal waste sites, this study provides a framework for addressing similar challenges globally. This research also highlights the critical role of interdisciplinary approaches in tackling the complex environmental challenges.

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Crossref · 10.5194/isprs-archives-xlviii-g-2025-1389-2025

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Metadata

Authors
Stoyanova, E., & Vitov, V.
Affiliations
  • University of Architecture, Civil Engineering and Geodesy (BG)
  • University of Mining and Geology "Saint Ivan Rilski" (BG)
Venue
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Published
2025-08-01
Volume
XLVIII-G-2025
Pages
1389-1395
ISSN
  • 1682-1750 (ISSN-L)
  • 2194-9034
OpenAlex
W4412844296
Cited by
0
References
0
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Geography, Planning and Development › Remote Sensing and Land Use
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Remote-Sensing Image Classification
  • Physical Sciences › Environmental Science › Waste Management and Disposal › Municipal Solid Waste Management
Keywords
fast fashion, textile waste, spectral signatures, Atacama Desert, Iquique, open source tools

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CoChat. (2026). Citation check: Mapping fast fashion landfills: remote sensing and GIS approach to analyze textile waste. https://app.cochat.ai/papers/10.5194/isprs-archives-xlviii-g-2025-1389-2025
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Stoyanova, E., & Vitov, V. (2025). Mapping fast fashion landfills: remote sensing and GIS approach to analyze textile waste. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-xlviii-g-2025-1389-2025