Literature DB >> 28104331

Top-down approach from satellite to terrestrial rover application for environmental monitoring of landfills.

C Manzo1, A Mei2, E Zampetti2, C Bassani2, L Paciucci2, P Manetti3.   

Abstract

This paper describes a methodology to perform chemical analyses in landfill areas by integrating multisource geomatic data. We used a top-down approach to identify Environmental Point of Interest (EPI) based on very high-resolution satellite data (Pleiades and WorldView 2) and on in situ thermal and photogrammetric surveys. Change detection techniques and geostatistical analysis supported the chemical survey, undertaken using an accumulation chamber and an RIIA, an unmanned ground vehicle developed by CNR IIA, equipped with a multiparameter sensor platform for environmental monitoring. Such an approach improves site characterization, identifying the key environmental points of interest where it is necessary to perform detailed chemical analyses.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3d model; Change detection; GIS; Landfill; Remote sensing; Rover; Thermal

Year:  2017        PMID: 28104331     DOI: 10.1016/j.scitotenv.2017.01.033

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  ROADS-Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation.

Authors:  Alessandro Mei; Emiliano Zampetti; Paola Di Mascio; Giuliano Fontinovo; Paolo Papa; Antonio D'Andrea
Journal:  Sensors (Basel)       Date:  2022-04-29       Impact factor: 3.576

2.  Fusion of Infrared Thermal Image and Visible Image for 3D Thermal Model Reconstruction Using Smartphone Sensors.

Authors:  Ming-Der Yang; Tung-Ching Su; Hung-Yu Lin
Journal:  Sensors (Basel)       Date:  2018-06-22       Impact factor: 3.576

3.  Pocket Mercury-Vapour Detection System Employing a Preconcentrator Based on Au-TiO2 Nanomaterials.

Authors:  Emiliano Zampetti; Paolo Papa; Andrea Bearzotti; Antonella Macagnano
Journal:  Sensors (Basel)       Date:  2021-12-10       Impact factor: 3.576

  3 in total

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