A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework
Livestock manure management, especially related to soil-fertilisation practice, is responsible for most of the emissions in agriculture, and in particular the ammonia emissions (NH<sub>3</sub>), which play a key role in environmental problems, affecting water, soil and air quality. Withi...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
|
| Series: | Biology and Life Sciences Forum |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9976/27/1/18 |
| _version_ | 1827306822294306816 |
|---|---|
| author | Antonella Tornato Silvia Ricolfi Alessandro Pirola Maria Belluzzo Villiam Zanni Bertelli Serena Sapio Marco Dubbini Federico Filipponi Cinzia Alessandrini |
| author_facet | Antonella Tornato Silvia Ricolfi Alessandro Pirola Maria Belluzzo Villiam Zanni Bertelli Serena Sapio Marco Dubbini Federico Filipponi Cinzia Alessandrini |
| author_sort | Antonella Tornato |
| collection | DOAJ |
| description | Livestock manure management, especially related to soil-fertilisation practice, is responsible for most of the emissions in agriculture, and in particular the ammonia emissions (NH<sub>3</sub>), which play a key role in environmental problems, affecting water, soil and air quality. Within the digital agricultural framework, EO data contribute to agricultural-practices monitoring such as manure spreading, to mitigate pollutant emissions. This study presents a GIS-based tool on an open-source platform, developed for susceptibility estimation of sewage spreading occurrence in agricultural areas of Italy. The tool is based on the analysis of multispectral and hyperspectral satellite time series in synergy with field data and ancillary information collected from regional repositories, to produce a series of classified and prioritised spatially explicit information. Spectral analysis of satellite acquisitions enabled the identification of manure spreading with the precision of about 83%. Field campaigns from October to March were carried out to validate the spreading event. The case study demonstrates the ability of the proposed GIS-based tool in supporting the monitoring of manure spreading. |
| first_indexed | 2024-04-24T18:29:57Z |
| format | Article |
| id | doaj.art-44b17793af3f4c5c8fd8bd1e26fc33c0 |
| institution | Directory Open Access Journal |
| issn | 2673-9976 |
| language | English |
| last_indexed | 2024-04-24T18:29:57Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology and Life Sciences Forum |
| spelling | doaj.art-44b17793af3f4c5c8fd8bd1e26fc33c02024-03-27T13:28:23ZengMDPI AGBiology and Life Sciences Forum2673-99762023-11-012711810.3390/IECAG2023-15804A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural FrameworkAntonella Tornato0Silvia Ricolfi1Alessandro Pirola2Maria Belluzzo3Villiam Zanni Bertelli4Serena Sapio5Marco Dubbini6Federico Filipponi7Cinzia Alessandrini8Institute for Environmental Protection and Research (ISPRA), Via Vitaliano Brancati 48, 00144 Roma, ItalyInstitute for Environmental Protection and Research (ISPRA), Via Vitaliano Brancati 48, 00144 Roma, ItalyArpae-Struttura IdroMeteoClima, Viale Silvani 6, 40122 Bologna, ItalyArpae-Struttura IdroMeteoClima, Viale Silvani 6, 40122 Bologna, ItalyArpae-Struttura IdroMeteoClima, Viale Silvani 6, 40122 Bologna, ItalyScience, Technology and Society Department, Istituto Universitario di Studi Superiori di Pavia (IUSS), Palazzo del Broletto, Piazza della Vittoria 15, 27100 Pavia, ItalyDepartment of History and Cultures (DiSCi)-Geography Section, University of Bologna, Via Guerrazzi 20, 40125 Bologna, ItalyInstitute for Environmental Protection and Research (ISPRA), Via Vitaliano Brancati 48, 00144 Roma, ItalyArpae-Struttura IdroMeteoClima, Viale Silvani 6, 40122 Bologna, ItalyLivestock manure management, especially related to soil-fertilisation practice, is responsible for most of the emissions in agriculture, and in particular the ammonia emissions (NH<sub>3</sub>), which play a key role in environmental problems, affecting water, soil and air quality. Within the digital agricultural framework, EO data contribute to agricultural-practices monitoring such as manure spreading, to mitigate pollutant emissions. This study presents a GIS-based tool on an open-source platform, developed for susceptibility estimation of sewage spreading occurrence in agricultural areas of Italy. The tool is based on the analysis of multispectral and hyperspectral satellite time series in synergy with field data and ancillary information collected from regional repositories, to produce a series of classified and prioritised spatially explicit information. Spectral analysis of satellite acquisitions enabled the identification of manure spreading with the precision of about 83%. Field campaigns from October to March were carried out to validate the spreading event. The case study demonstrates the ability of the proposed GIS-based tool in supporting the monitoring of manure spreading.https://www.mdpi.com/2673-9976/27/1/18agricultural practicessoil fertilisationmonitoring manure spreadingGIS-based tool |
| spellingShingle | Antonella Tornato Silvia Ricolfi Alessandro Pirola Maria Belluzzo Villiam Zanni Bertelli Serena Sapio Marco Dubbini Federico Filipponi Cinzia Alessandrini A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework Biology and Life Sciences Forum agricultural practices soil fertilisation monitoring manure spreading GIS-based tool |
| title | A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework |
| title_full | A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework |
| title_fullStr | A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework |
| title_full_unstemmed | A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework |
| title_short | A GIS-Based Approach for Manure-Spreading Monitoring within the Digital Agricultural Framework |
| title_sort | gis based approach for manure spreading monitoring within the digital agricultural framework |
| topic | agricultural practices soil fertilisation monitoring manure spreading GIS-based tool |
| url | https://www.mdpi.com/2673-9976/27/1/18 |
| work_keys_str_mv | AT antonellatornato agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT silviaricolfi agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT alessandropirola agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT mariabelluzzo agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT villiamzannibertelli agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT serenasapio agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT marcodubbini agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT federicofilipponi agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT cinziaalessandrini agisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT antonellatornato gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT silviaricolfi gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT alessandropirola gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT mariabelluzzo gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT villiamzannibertelli gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT serenasapio gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT marcodubbini gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT federicofilipponi gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework AT cinziaalessandrini gisbasedapproachformanurespreadingmonitoringwithinthedigitalagriculturalframework |