Detection of Methane Emissive “Hot Spots” in Landfills: An Advanced Statistical Method for Processing UAV Data
I tiakina i:
| I whakaputaina i: | Remote Sensing vol. 17, no. 11 (2025), p. 1890 |
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| Kaituhi matua: | |
| Ētahi atu kaituhi: | , , , , , , , , , , , , |
| I whakaputaina: |
MDPI AG
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| Ngā marau: | |
| Urunga tuihono: | Citation/Abstract Full Text + Graphics Full Text - PDF |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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MARC
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| 022 | |a 2072-4292 | ||
| 024 | 7 | |a 10.3390/rs17111890 |2 doi | |
| 035 | |a 3217746525 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231556 |2 nlm | ||
| 100 | 1 | |a Guerra, Maurizio |u Department for the Geological Survey of Italy, ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale), Italian Institute for Environmental Protection and Research, 00144 Rome, Italy; marco.falconi@isprambiente.it (M.F.); vincenzo.fiano@isprambiente.it (V.F.); chiara.fiori@isprambiente.it (C.F.); antonella.vecchio@isprambiente.it (A.V.) | |
| 245 | 1 | |a Detection of Methane Emissive “Hot Spots” in Landfills: An Advanced Statistical Method for Processing UAV Data | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The effective management of landfills requires advancements in techniques for rapid data collection and analysis of gas emissions. This work aims to refine methane (CH4) emission data acquired from landfills by applying a robust geostatistical method to drone-collected measurements. Specifically, we use UAV-mounted laser spectrophotometer technology (TDLAS-UAV) to gather rapid, high-resolution data, which can sometimes be noisy due to atmospheric variations and sensor drift. For data handling, the key innovation is the application of the local indicator of spatial association (LISA), a technique that typically provides p-values to assess the statistical significance of observed spatial clusters. This approach was applied both on an areal basis and on a linear basis, following the order of data acquisition, and it produced comparable results. Very low p-values are considered indicative of non-random clustering, suggesting the influence of an underlying spatial control factor. These results were subsequently validated through independent flux chamber surveys. This validation confirms the reliability and objectivity of our geostatistical method in improving drone-based methane emission assessments. The research highlights the need to optimize drone flight paths to ensure a uniform spatial distribution of data and reduce edge effects. It notes that many CH4 flux measurements often yield non-detectable results, suggesting a review of detection limits. Future work should refine UAV flight patterns and data processing with semi-controlled experiments—using known methane sources—to determine optimal acquisition parameters, such as flight height, sampling frequency, grid resolution, and wind influence. | |
| 653 | |a Statistics | ||
| 653 | |a Data acquisition | ||
| 653 | |a Data processing | ||
| 653 | |a Methane | ||
| 653 | |a Flight characteristics | ||
| 653 | |a Measurement techniques | ||
| 653 | |a Spatial distribution | ||
| 653 | |a Flight | ||
| 653 | |a Landfill gas | ||
| 653 | |a Statistical methods | ||
| 653 | |a Landfill | ||
| 653 | |a Data collection | ||
| 653 | |a Edge effect | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Geostatistics | ||
| 653 | |a Landfills | ||
| 653 | |a Waste disposal sites | ||
| 653 | |a Detection limits | ||
| 653 | |a Spatial data | ||
| 653 | |a Gases | ||
| 653 | |a Spectrum analysis | ||
| 653 | |a Unmanned aerial vehicles | ||
| 653 | |a Lasers | ||
| 653 | |a Clustering | ||
| 653 | |a Sensors | ||
| 653 | |a Optimization | ||
| 653 | |a Natural gas distribution | ||
| 653 | |a Emissions | ||
| 653 | |a Drones | ||
| 700 | 1 | |a De Molfetta Maurizio |u Dipartimento Jonico, Università degli Studi di Bari Aldo Moro, 70121 Taranto, Italy; maurizio.demolfetta@uniba.it (M.D.M.); donatello.fosco@uniba.it (D.F.); bruno.notarnicola@uniba.it (B.N.); pietro.renzulli@uniba.it (P.A.R.) | |
| 700 | 1 | |a Diligenti, Antonio |u ARPA Abruzzo, Distretto di Chieti, 65100 Chieti, Italy; a.diligenti@artaabruzzo.it | |
| 700 | 1 | |a Falconi, Marco |u Department for the Geological Survey of Italy, ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale), Italian Institute for Environmental Protection and Research, 00144 Rome, Italy; marco.falconi@isprambiente.it (M.F.); vincenzo.fiano@isprambiente.it (V.F.); chiara.fiori@isprambiente.it (C.F.); antonella.vecchio@isprambiente.it (A.V.) | |
| 700 | 1 | |a Fiano Vincenzo |u Department for the Geological Survey of Italy, ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale), Italian Institute for Environmental Protection and Research, 00144 Rome, Italy; marco.falconi@isprambiente.it (M.F.); vincenzo.fiano@isprambiente.it (V.F.); chiara.fiori@isprambiente.it (C.F.); antonella.vecchio@isprambiente.it (A.V.) | |
| 700 | 1 | |a Fiori Chiara |u Department for the Geological Survey of Italy, ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale), Italian Institute for Environmental Protection and Research, 00144 Rome, Italy; marco.falconi@isprambiente.it (M.F.); vincenzo.fiano@isprambiente.it (V.F.); chiara.fiori@isprambiente.it (C.F.); antonella.vecchio@isprambiente.it (A.V.) | |
| 700 | 1 | |a Donatello, Fosco |u Dipartimento Jonico, Università degli Studi di Bari Aldo Moro, 70121 Taranto, Italy; maurizio.demolfetta@uniba.it (M.D.M.); donatello.fosco@uniba.it (D.F.); bruno.notarnicola@uniba.it (B.N.); pietro.renzulli@uniba.it (P.A.R.) | |
| 700 | 1 | |a Luchetti Lucina |u Regione Abruzzo—PNRR Department, 65100 Pescara, Italy; lucinaluchetti@tiscali.it | |
| 700 | 1 | |a Notarnicola Bruno |u Dipartimento Jonico, Università degli Studi di Bari Aldo Moro, 70121 Taranto, Italy; maurizio.demolfetta@uniba.it (M.D.M.); donatello.fosco@uniba.it (D.F.); bruno.notarnicola@uniba.it (B.N.); pietro.renzulli@uniba.it (P.A.R.) | |
| 700 | 1 | |a Renzulli, Pietro Alexander |u Dipartimento Jonico, Università degli Studi di Bari Aldo Moro, 70121 Taranto, Italy; maurizio.demolfetta@uniba.it (M.D.M.); donatello.fosco@uniba.it (D.F.); bruno.notarnicola@uniba.it (B.N.); pietro.renzulli@uniba.it (P.A.R.) | |
| 700 | 1 | |a Sacchi Enrico |u L.A.V. Srl., 47924 Rimini, Italy; enrico.sacchi@lavrimini.com | |
| 700 | 1 | |a Tarantino Nino |u Commissario Unico per la Bonifica delle Discariche e dei Siti Contaminati, 00187 Rome, Italy; nino.tarantino@carabinieri.it | |
| 700 | 1 | |a Tognacci Marcello |u Whitelab Srl-LAV, 47924 Rimini, Italy; marcello.tognacci@lavrimini.com | |
| 700 | 1 | |a Vecchio Antonella |u Department for the Geological Survey of Italy, ISPRA (Istituto Superiore per la Protezione e la Ricerca Ambientale), Italian Institute for Environmental Protection and Research, 00144 Rome, Italy; marco.falconi@isprambiente.it (M.F.); vincenzo.fiano@isprambiente.it (V.F.); chiara.fiori@isprambiente.it (C.F.); antonella.vecchio@isprambiente.it (A.V.) | |
| 773 | 0 | |t Remote Sensing |g vol. 17, no. 11 (2025), p. 1890 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3217746525/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3217746525/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3217746525/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |