{"title":"Mapping illegal dumping in Nelson Mandela Bay Metro: A study using image interpretation","authors":"Sean Swanepoel, Danica Marlin","doi":"10.1016/j.rsase.2024.101302","DOIUrl":null,"url":null,"abstract":"<div><p>Illegal dumping is challenging for municipalities to keep track of and clean. There is limited research on the quantity of illegal dumpsites within cities. Through a manual image interpretation technique, this study used aerial imagery to quantify all illegal dumpsites within Nelson Mandela Bay Metro, South Africa. All illegal dumps were marked out in 2015 and 2021 aeroplane aerial imagery at 50 cm and 25 cm GSD, respectively. The total coverage of land surveyed was 1331 km<sup>2</sup>, with an urban area of 308 km<sup>2</sup>. The number of illegal dumpsites increased from 4969 to 7800 (57% increase) between 2015 and 2021. The study also showed the quantity of waste within dumps increased, dumps were spatially clustered and close to urban areas and roads. The technique presented can easily be replicated in other cities to track and monitor illegal dumping.</p></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"36 ","pages":"Article 101302"},"PeriodicalIF":3.8000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938524001666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Illegal dumping is challenging for municipalities to keep track of and clean. There is limited research on the quantity of illegal dumpsites within cities. Through a manual image interpretation technique, this study used aerial imagery to quantify all illegal dumpsites within Nelson Mandela Bay Metro, South Africa. All illegal dumps were marked out in 2015 and 2021 aeroplane aerial imagery at 50 cm and 25 cm GSD, respectively. The total coverage of land surveyed was 1331 km2, with an urban area of 308 km2. The number of illegal dumpsites increased from 4969 to 7800 (57% increase) between 2015 and 2021. The study also showed the quantity of waste within dumps increased, dumps were spatially clustered and close to urban areas and roads. The technique presented can easily be replicated in other cities to track and monitor illegal dumping.
期刊介绍：
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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