EGU22-10455, updated on 28 Mar 2022
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Large and small-scale multi-sensors remote sensing for dumpsites characterization and monitoring

Angela Celauro1, Matteo Cagnizi1, Annalisa Cappello1, Emilio D'Amato1, Peppe Junior Valentino D'Aranno2, Gaetana Ganci3, Luigi Lodato3, Ilenia Marini1, Maria Marsella1,2, and Ilaria Moriero1
Angela Celauro et al.
  • 1Sapienza Università di Roma, DICEA, Roma, Italy (
  • 2Survey Lab, Roma, Italy
  • 3Istituto Nazionale di Geofisica e Vulcanologia, 95125 Catania, Italy

Remote sensing techniques are an ever-growing reliable means for monitoring, detecting and analysing the spatial and temporal changes of solid waste and landfill sites. In this paper, different UAV and satellite sensors are used to detect, characterize and monitor dumpsites in Sicily (Italy). In particular, data acquired and processed are (i) high-density point clouds detected from LIDAR sensor; (ii) optical photograms with a resolution of 3 cm; (iii) thermal photograms with a resolution of 5 cm/pixel and (iv) multispectral photograms with 5 cm/pixel. High spatial resolution UAV multispectral and thermal remote sensing allowed for the extraction of indicators, such as the Normalized Difference Vegetation Index (NDVI) and the Land Surface Temperature (LST), useful to characterize the changes in the vegetation and the skin temperature increase due to organic waste decomposition, respectively. On the other hand, the processing of UAV optical images to extract high-resolution orthophotos and their integration with high-density point clouds obtained from LIDAR, were used to provide the identification of the effective perimeter of the landfill body and the extraction of waste volumes. These products were integrated and compared with those obtained from different kinds of medium-to-high spatial resolution satellite images, such as from Landsat, Aster, Sentinel-2 and Planetscope sensors. Results show that UAV data represents an excellent opportunity for detecting and characterizing dumpsites with an extremely high detail, and that the joint use with satellite data is recommended for having a comparison on different scales, allowing continuous monitoring. Additional SAR data methodologies will be investigated for evaluating the landfill body landslides over the years that could be integrated with high resolution satellite multispectral and hyperspectral images for monitoring dumpsites environmental impact.

How to cite: Celauro, A., Cagnizi, M., Cappello, A., D'Amato, E., D'Aranno, P. J. V., Ganci, G., Lodato, L., Marini, I., Marsella, M., and Moriero, I.: Large and small-scale multi-sensors remote sensing for dumpsites characterization and monitoring, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-10455,, 2022.