Illegal micro-dumps are a plague affecting many industrialized and developing countries. Their monitoring requires continuous data to be provided to decision makers for implementation of mitigation actions. In this context, an optimized monitoring strategy is key since the resources assigned to the activities necessary for the specific characterization of the sites and for remediation purposes are typically limited by budget constraints. This work proposes a progressive monitoring framework based on remote sensing data aimed at the optimization of the available on-ground monitoring resources. A set of different remote sensing technologies and processing tools is proposed in order to acquire and exploit increasingly spatially detailed information with the objective to select areas needing on-ground inspections. The case study here presented exploits, as first step, satellite remote sensing to detect areas potentially affected by micro-dumps. Then, airborne acquisitions are exploited to confirm what observed from space. Finally, close-range drone remote sensing is exploited to characterize the selected sites in terms of waste volume estimation. Moreover, a decision support system is designed in order to digitalize the proposed monitoring process. The paper is focused on the employment of remote sensing products and models in the decision support workflow. The process is tailored on the specific use case of illegal waste monitoring and validated through a case study in Southern Italy.
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