New publication on solid waste detection in urban areas using VHR remote sensing data

New publication on solid waste detection in urban areas using VHR remote sensing data

February 21, 2023

New publication on solid waste detection using very high resolution remote sensing data

 

Researchers from the Munich University of Applied Sciences (MUAS) in Munich, the Earth Observation Center (EOC) of the German Aerospace Center (DLR) in Oberpfaffenhofen and the University of Würzburg in Würzburg teamed up for an explorative study on solid waste detection in urban areas using very high resolution remote sensing data. The paper titled “Litter on the streets – solid waste detection using VHR images” was just published in the European Journal of Remote Sensing by Yrneh Zarit Ulloa-Torrealba, Andreas Schmitt, Michael Wurm & Hannes Taubenböck. The study aimed to test a combination of machine learning, high resolution earth observation and GIS data to detect diverse categories of residual waste on the streets, such as sacks and construction debris.

 

 

From the Abstract: Failures in urban areas’ solid waste management lead to clandestine garbage dumping and pollution. This affects sanitation and public human hygiene, deteriorates quality of life, and

contributes to deprivation. This study aimed to test a combination of machine learning, high resolution earth observation and GIS data to detect diverse categories of residual waste on the streets, such as sacks and construction debris. We conceptualised five different classes of solid waste from image interpretation: “Sure”, “Half-sure”, “Not-sure”, “Dispersed”, and “Nongarbage”. We tested a combination of k-means-based segmentation and supervised random forest to investigate the capabilities of automatic classification of these waste classes. The model can detect the presence of solid waste on the streets and achieved an accuracy of up from 73.95%–95.76% for the class “Sure”. Moreover, a building extraction using an EfficientNet deep-learning-based semantic segmentation allowed masking the rooftops. This improved the accuracy of the classes “Sure” and “Non-garbage”. The systematic evaluation of all parameters considered in this model provides a robust and reliable method of solid waste detection for

decision-makers. These results highlight areas where insufficient waste management affects the citizens of a given city.

 

Read the full article here: https://www.tandfonline.com/doi/full/10.1080/22797254.2023.2176006  

 

you may also like:

‘Super Test Site Würzburg’ project meeting

‘Super Test Site Würzburg’ project meeting

After the successful "Super Test Site Würzburg" measurement campaign in June (please see here: https://remote-sensing.org/super-test-site-wurzburg-from-the-idea-to-realization/ ), the core team from the University of Würzburg, the Karlsruhe Institute of Technology,...

EORC Talk: Geolingual Studies: A New Research Direction

EORC Talk: Geolingual Studies: A New Research Direction

On July 19th, Lisa Lehnen and Richard Lemoine Rodríguez, two postdoctoral researchers of the Geolingual Studies project, gave an inspiring presentation at the EORC talk series.   In the talk titled "Geolingual Studies – a new research direction", they...

EO support for UrbanPArt field work

EO support for UrbanPArt field work

From May to September, Karla Wenner, a PhD student at the Juniorprofessorship for Applied Biodiversity Science, will be sampling urban green spaces and semi-natural grasslands in Würzburg as part of the UrbanPArt project. Our cargo bikes support the research project...

Cinematic drone shots

Cinematic drone shots

We spend quite some time in the field conducting field work, from lidar measurements to vegetation samples in order to correlate it with remote sensing data to answer various research questions concerning global change. Field work is always a 24/7 work load and...

Sommer event at DLR EOC

Sommer event at DLR EOC

Some of our staff joined the DLR EOC summer event and spend the day talking with various colleagues from DLR as well as experiencing the newest developments such as the virtual reality experiences by the department of Nils Sparwasser. Beside various topical...

Media reports on our work

Media reports on our work

We recently reported on our study published in The LANCET Planetary Health Journal on the impact of urban configuration types on urban heat islands, air pollution, CO2 emissions, and mortality – please see here:...