Characterizing waste disposal sites by using multi-spectral satellite imagery
- 1Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania - Osservatiorio Etneo, Catania, Italy (gaetana.ganci@ingv.it)
- 2Università degli Studi di Catania, Italy
The application of remote sensing for monitoring, detecting and analysing the spatial and extents and temporal changes of waste dumping sites and landfills could become a cost-effective and powerful solution. Multi-spectral satellite images, especially in the thermal infrared, can be exploited to characterize the state of activity of a landfill. Indeed, waste disposal sites, during the period of activity, can show differences in surface temperature (LST, Land Surface Temperature), state of vegetation (estimated through NDVI, Normalized Difference Vegetation Index) or soil moisture (estimated through NDWI, Normalized Difference Water Index) compared to neighboring areas. Landfills with organic waste typically show higher temperatures than surrounding areas due to exothermic decomposition activities. In fact, the biogas, in the absence or in case of inefficiency of the conveying plants, rises through the layers of organic matter and earth (landfill body) until it reaches the surface at a temperature of over 40 ° C. Moreover, in some cases, leachate contamination of the aquifers can be identified by analyzing the soil moisture, through the estimate of the NDWI, and the state of suffering of the vegetation surrounding the site, through the estimate of the NDVI. This latter can also be an indicator of soil contamination due to the presence of toxic and potentially dangerous waste when buried or present nearby. To take into account these facts, we combine the LST, NDVI and NDWI indices of the dump site and surrounding areas in order to characterize waste disposal sites. Preliminary results show how this approach can bring out the area and level of activity of known landfill sites. This could prove particularly useful for the definition of intervention priorities in landfill remediation works.
How to cite: Ganci, G., Cappello, A., Bilotta, G., Pollicino, G., and Lodato, L.: Characterizing waste disposal sites by using multi-spectral satellite imagery, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-12495, https://doi.org/10.5194/egusphere-egu21-12495, 2021.