Abstract

The aim of this research is to develop a multiparametric downscaling analysis for the detection of abandoned waste in the environment. This methodology, using a multi-technological approach, involves the adoption VHR satellite images, Unmanned Aircraft System (UAS) and Unmanned Ground Vehicles (UGV). The identified Warning Areas (WA) will be investigated through an in-situ analysis with air quality measurement devices based on advanced sensors mounted on drones. The creation of a Cadastre Accumulation of Abandoned Materials (CAMA) and the related APP will allow the administrations to monitor the phenomenon. Finally, the waste product analysis, retrieved by means of UAS dataset computation, allows to retrieve some interesting prospects regarding Waste to Energy framework. Here, preliminary results obtained by the on-going INTESA Project are presented.

Details

Title
CONCEPTUALIZATION OF A SATELLITE, UAS AND UGV DOWNSCALING APPROACH FOR ABANDONED WASTE DETECTION AND WASTE TO ENERGY PROSPECTS
Author
Mei, A 1 ; Baiocchi, V 2   VIAFID ORCID Logo  ; Mattei, S 3 ; Zampetti, E 1 ; H-J Pai 4 ; Tratzi, P 1 ; Ragazzo, A V 1 ; Cuzzucoli, A 1 ; Mancuso, A 1 ; Bearzotti, A 1 ; Fontinovo, G 1 ; Grosso, M 3 ; C-Y Chu 4 ; Bianconi, D 1 

1  Institute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, Italy; Institute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, Italy 
2  Department of Civil, Constructional and Environmental Engineering (DICEA), Sapienza University of Rome, 00184 Rome, Italy; Department of Civil, Constructional and Environmental Engineering (DICEA), Sapienza University of Rome, 00184 Rome, Italy 
3  Department of Civil and Environmental Engineering, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milano, Italy; Department of Civil and Environmental Engineering, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133, Milano, Italy 
4  Green Energy Development Center, Feng Chia University, Taichung, Taiwan; Green Energy Development Center, Feng Chia University, Taichung, Taiwan 
Pages
287-293
Publication year
2023
Publication date
2023
Publisher
Copernicus GmbH
ISSN
16821750
e-ISSN
21949034
Source type
Conference Paper
Language of publication
English
DOI
https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-287-2023
ProQuest document ID
2818919177
Copyright
© 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.