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A one health google earth engine web-GIS application to evaluate and monitor water quality worldwide

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Abstract

The assessment of water quality using satellite remote sensing has gained significant interest in recent years. Earth Observation data and technologies, particularly through cloud-based platforms like Google Earth Engine (GEE), offer the potential for synoptic coverage and repeated monitoring. This study aimed to develop a Google Earth Engine app for indirect monitoring and assessment of water quality based on Sentinel-2 from a One Health perspective. A JavaScript code was written within GEE to develop a publicly accessible application in order to permit users to indirectly analyze water-bodies world-wide in the spatial–temporal domain. In particular, clouds, shadow and defective pixels were masked out in the entire collection using Quality Assurance (QA) masks. Regarding to the application, named Sen2WQ, several functions were implemented in order to compute: water turbidity (T), chlorophyll (Chl) content, and total suspended solids (TSS) based on established approaches in the scientific literature. The application allows users to map water quality (T, Chl, TSS) within their defined time range and area of interest, displaying time-lapse visualizations, maps, and charts. To validate the app, different remote sensing tools and ground data for these parameters were collected in Italy and worldwide, and Root Mean Squared Error (RMSE) was computed. The results demonstrate the potential of GEE, specifically the Sentinel-2 missions, in monitoring water quality. Sen2WQ may support different figures such as veterinarians in studying animal and wildlife pathologies related to water quality, contributing to a comprehensive One Health approach.

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References

  • Anh HQ, Le TPQ, Da Le N, Xi Xi Lu, Duong TT, Garnier J, Rochelle-Newall E et al (2021) Antibiotics in surface water of east and southeast Asian countries: a focused review on contamination status, pollution sources, potential risks, and future perspectives. Sci Total Environ 764:142865

    Article  CAS  Google Scholar 

  • Ansper A, Alikas K (2018) Retrieval of chlorophyll a from Sentinel-2 MSI data for the European Union water framework directive reporting purposes. Remote Sensing 11(1):64

    Article  Google Scholar 

  • Ashbolt NJ (2004) Microbial contamination of drinking water and disease outcomes in developing regions. Toxicology 198(1–3):229–238

    Article  CAS  Google Scholar 

  • Ashbolt NJ (2015) Microbial contamination of drinking water and human health from community water systems. Curr Environ Health Rep 2:95–106

    Article  CAS  Google Scholar 

  • Bagliani MM, Maria CC, Gianni L, Tommaso O (2019) Lessico e Nuvole: le parole del cambiamento climatico

  • Bouâouda H, Achâaban MR, Ouassat M, Oukassou M, Piro M, Challet E, El Allali K, Pévet P (2014) Daily regulation of body temperature rhythm in the camel (C amelus dromedarius) exposed to experimental desert conditions. Physiol Rep 2(9):e12151

    Article  Google Scholar 

  • Brockmann C, Doerffer R, Peters M, Kerstin S, Embacher S, Ruescas A (2016) Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters. Living Planet Symp 740:54

    Google Scholar 

  • Broyles B, Tricia LC (1999) Effect of surface water on desert bighorn sheep in the Cabeza Prieta National Wildlife Refuge, southwestern Arizona. Wildlife Soc Bull, pp 1082–88

  • Caimotto MC, Daniela F, Cristiano GF, Tommaso O, Piovan A et al. (2020) Parlare è pensare. In: Lessico e nuvole: le parole del cambiamento climatico (seconda edizione), 281–84. Università degli Studi di Torino.

  • Carella E, Orusa T, Viani A, Meloni D, Borgogno-Mondino E, Orusa R (2022) An integrated, tentative remote-sensing approach based on NDVI entropy to model canine distemper virus in wildlife and to prompt science-based management policies. Animals 12(8):1049

    Article  Google Scholar 

  • De Marinis P, Samuele DP, Filippo S, Giacinto M, Evelyn JM, Tommaso O, Gianmarco C, Guido S, Enrico MB (2021) Supporting pro-poor reforms of agricultural systems in eastern DRC (Africa) with remotely sensed data: a possible contribution of spatial entropy to interpret land management practices. Land 10(12):1368

    Article  Google Scholar 

  • Distefano E (2005) Human-wildlife conflict worldwide: collection of case studies, analysis of management strategies and good practices. In: Food and Agricultural Organization of the United Nations (FAO), Sustainable Agriculture and Rural Development Initiative (SARDI), Rome, Italy. Available from: FAO Corporate Document repository www.fao.org/documents.

  • Epaphras AM, Gereta E, Lejora IA, Ole Meing’ataki GE, Ng’umbi G, Kiwango Y, Mwangomo E et al (2008) Wildlife water utilization and importance of artificial waterholes during dry season at Ruaha National Park, Tanzania. Wetlands Ecol Manag 16:183–88

    Article  Google Scholar 

  • Floris I, Vannuccini A, Ligotti C, Musolino N, Romano A, Viani A, Bianchi DM, Robetto S, Decastelli L (2024) Detection and Characterization of Zoonotic Pathogens in Game Meat Hunted in Northwestern Italy. Animals 14(4):562

    Article  Google Scholar 

  • Fuller A, Meyer LCR, Mitchell D, Maloney SK (2007) Dehydration increases the magnitude of selective brain cooling independently of core temperature in sheep. Am J Physiol Regulat Integrat Comp Physiol 293(1):R438–R446

    Article  CAS  Google Scholar 

  • Gibbs E, Paul J (2014) The evolution of One Health: a decade of progress and challenges for the future. Vet Record 174(4):85–91

    Article  Google Scholar 

  • Greig J, Rajić A, Young I, Mascarenhas M, Waddell L, Jeune JL (2015) A scoping review of the role of wildlife in the transmission of bacterial pathogens and antimicrobial resistance to the food chain. Zoonoses Public Health 62(4):269–284

    Article  CAS  Google Scholar 

  • Huang C-H, Renew JE, Smeby KL, Pinkston K, Sedlak DL (2011) Assessment of potential antibiotic contaminants in water and preliminary occurrence analysis. J Contemp Water Res Educ 120(1):4

    Google Scholar 

  • Karthick B, Jonathan CT, Mahesh MK, Ramachandra TV (2010) Protocols for collection, preservation and enumeration of diatoms from Aquatic habitats for water quality monitoring in India. IUP J Soil Water Sci 3(1).

  • Katlane R, Cécile D, Boubaker EK, Berges J-C (2020) Estimation of chlorophyll and turbidity using sentinel 2A and EO1 data in Kneiss Archipelago Gulf of Gabes, Tunisia. Int J Geosci 11:708

    Article  CAS  Google Scholar 

  • Krausman PR, Steven SR, James WC III (2006) Developed waters for wildlife: science, perception, values, and controversy. Wildlife Soc Bull 34(3):563–69

    Article  Google Scholar 

  • Latini G, Marco B, Tommaso O (2021) Lessico e nuvole: le parole del cambiamento climatico. Youcanprint

  • Magureanu M, Bilea F, Bradu C, Hong D (2021) A review on non-thermal plasma treatment of water contaminated with antibiotics. J Haz Mater 417:125481

    Article  CAS  Google Scholar 

  • Mitchell D, Andrea F, Shane KM (2009) Homeothermy and primate bipedalism: is water shortage or solar radiation the main threat to baboon (Papio hamadryas) homeothermy? J Hum Evolut 56(5):439–46

    Article  Google Scholar 

  • Orusa, T, Borgogno Mondino E (2019) Landsat 8 thermal data to support urban management and planning in the climate change era: a case study in Torino area, NW Italy. In: Remote Sensing Technologies and Applications in Urban Environments IV, 11157:111570O. International Society for Optics and Photonics

  • Orusa T, BorgognoMondino E (2021) Exploring short-term climate change effects on rangelands and broad-leaved forests by free satellite data in Aosta Valley (Northwest Italy). Climate 9(3):47

    Article  Google Scholar 

  • Orusa T, Orusa R, Viani A, Carella E, BorgognoMondino E (2020) Geomatics and EO data to support wildlife diseases assessment at landscape level: a pilot experience to map infectious keratoconjunctivitis in chamois and phenological trends in Aosta Valley (NW Italy). Remote Sens 12(21):3542

    Article  Google Scholar 

  • Orusa T, Cammareri D, BorgognoMondino E (2022a) A possible land cover EAGLE approach to overcome remote sensing limitations in the alps based on sentinel-1 and sentinel-2: the case of aosta Valley (NW Italy). Remote Sens 15(1):178

    Article  Google Scholar 

  • Orusa T, Cammareri D, BorgognoMondino E (2022b) A scalable earth observation service to map land cover in geomorphological complex areas beyond the dynamic world: an application in Aosta Valley (NW Italy). Appl Sci 13(1):390

    Article  Google Scholar 

  • Orusa T, Annalisa V, Borgogno-Mondino E (2023a) IRIDE the euro-italian earth observation program: overview, current progress, global expectations and recommendations. Perspective 2:10

    Google Scholar 

  • Orusa T, Viani A, Cammareri D, Borgogno-Mondino E (2023b) A google earth engine algorithm to map phenological metrics in mountain areas worldwide with landsat collection and sentinel-2. Geomatics 3(1):221–238

    Article  Google Scholar 

  • Orusa T, Viani A, Moyo B, Cammareri D, Borgogno-Mondino E (2023c) Risk assessment of rising temperatures using landsat 4–9 LST time series and meta® population dataset: an application in Aosta Valley, NW Italy. Remote Sensing 15(9):2348

    Article  Google Scholar 

  • Orusa T, Viani A, Borgogno-Mondino E (2024) Earth observation data and geospatial deep learning AI to assign contributions to European municipalities Sen4MUN: an empirical application in Aosta Valley (NW Italy). Land 13(1):80

    Article  Google Scholar 

  • Ouma YO, Noor K, Herbert K (2020) Modelling reservoir chlorophyll-a, TSS, and turbidity using Sentinel-2A MSI and Landsat-8 OLI satellite sensors with empirical multivariate regression. J Sens 2020:1–21

    Article  Google Scholar 

  • Parker M, Kingori P (2016) Good and bad research collaborations: researchers’ views on science and ethics in global health research. PLoS One 11(10):e0163579

    Article  Google Scholar 

  • Parry D, Salsberg J, Macaulay AC, Fcpc C (2009) A guide to researcher and knowledge-user collaboration in health research. Canadian Institutes of Health Research, Ottawa

    Google Scholar 

  • Patel CB, Shanker R, GuptaUpadhyay VKRS (2016) Q-PCR based culture-independent enumeration and detection of Enterobacter: an emerging environmental human pathogen in riverine systems and potable water. Front Microbiol 7:172

    Article  Google Scholar 

  • Potes M, Rodrigues G, Penha AM, Novais MH, Costa MJ, Salgado R, Morais MM (2018) Use of sentinel 2–MSI for water quality monitoring at Alqueva reservoir, Portugal. Proc Int Assoc Hydrol Sci 380:73–79

    CAS  Google Scholar 

  • Samuele DP, Filippo S, Orusa T, Enrico B-M (2021) Mapping SAR geometric distortions and their stability along time: a new tool in Google Earth Engine based on Sentinel-1 image time series. Int J Remote Sens 42(23):9126–9145

    Article  Google Scholar 

  • Sarvia, F, Samuele DP, Tommaso O, Enrico B-M (2021) MAIA S2 versus sentinel 2: spectral issues and their effects in the precision farming context. In: International Conference on Computational Science and Its Applications, 63–77. Springer.

  • Tartaglino A, Tommaso O (2020) Bilancio energetico/energy balance in lessico e nuvole: le parole del cambiamento climatico II ed. Università degli studi Torino. In: Bilancio Energetico, 61–63. Università degli studi di Torino

  • Toming K, Kutser T, Laas A, Sepp M, Paavel B, Nõges T (2016) First experiences in mapping lake water quality parameters with Sentinel-2 MSI imagery. Remote Sens 8(8):640

    Article  Google Scholar 

  • Vanhellemont Q, Kevin R (2016) Acolite for Sentinel-2: aquatic applications of MSI imagery. In: Proceedings of the 2016 ESA Living Planet Symposium, Prague, Czech Republic, pp 9–13

  • Viani A, Tommaso O, Enrico B-M, Riccardo O (2023a) Snow metrics as proxy to assess sarcoptic mange in wild boar: preliminary results in Aosta Valley (Italy). Life 13(4):987

    Article  Google Scholar 

  • Viani A, Tommaso O, Sara D, Stella L, Stefania Z, Enrico B-M, Riccardo O, Enrico B (2023b) Bartonella spp. distribution assessment in red foxes (Vulpes vulpes) coupling geospatially-based techniques 76° Convegno SISVET, Bari. https://hdl.handle.net/2318/1938950

  • Viani A, Tommaso O, Maria LM, Serena R, Manuela B, Giovanna R, Sonia S, Enrico B-M, Riccardo O (2023c) R07.5 Tick’s suitability habitat maps and tick-host relationships in wildlife. A One Health approach based on multitemporal remote sensed data, entropy and Meta® population dataset in Aosta Valley, NW Italy. In: GeoVet 2023 International Conference

  • Walsberg GE (2000) Small mammals in hot deserts: some generalizations revisited. Bioscience 50(2):109–120

    Article  Google Scholar 

  • WHO O (2017) «One health». World Health Organization 736.

  • Wu DL, Zhang M, He LX, Zou HY, Liu YS, Li BB, Ying GG (2020) Contamination profile of antibiotic resistance genes in ground water in comparison with surface water. Sci Total Environ 715:136975

    Article  CAS  Google Scholar 

  • Zhao J, Zhang F, Chen S, Wang C, Chen J, Zhoue H, Xue Y (2020) Remote sensing evaluation of total suspended solids dynamic with Markov model: a case study of inland reservoir across administrative boundary in South China. Sensors 20(23):6911

    Article  Google Scholar 

  • Zinsstag J, Schelling E, Waltner-Toews D, Tanner M (2011) From “one medicine” to “one health” and systemic approaches to health and well-being. Prev Vet Med 101(3–4):148–156

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Istituto Zooprofilattico Sperimentale Piemonte, Liguria e Valle d’Aosta (IZS PLV) S.C. Valle d’Aosta—CeRMAS (National Reference Center for Wildlife Diseases), Località Amerique, 7/G, 11020, Quart, Italy

    Annalisa Viani & Riccardo Orusa

  2. Department of Agricultural, Forest and Food Sciences (DISAFA), GEO4Agri DISAFA Lab, Università Degli Studi Di Torino, Largo Paolo Braccini 2, 10095, Grugliasco, Italy

    Tommaso Orusa & Enrico Borgogno-Mondino

  3. Earth Observation Valle d’Aosta—eoVdA, Località L’Île-Blonde 5, 11020, Brissogne, Italy

    Tommaso Orusa

  4. IN.VA Spa, Località L’Île-Blonde 5, 11020, Brissogne, Italy

    Tommaso Orusa

  5. Italian Remote Sensing Society (Associazione Italiana Di Telerilevamento) AIT, Via Lucca 50, 50142, Florence, Italy

    Annalisa Viani, Tommaso Orusa, Enrico Borgogno-Mondino & Riccardo Orusa

Authors
  1. Annalisa Viani
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  2. Tommaso Orusa
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  3. Enrico Borgogno-Mondino
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  4. Riccardo Orusa
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Correspondence to Annalisa Viani.

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Responsible Editor: Abdelazim Negm.

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Viani, A., Orusa, T., Borgogno-Mondino, E. et al. A one health google earth engine web-GIS application to evaluate and monitor water quality worldwide. Euro-Mediterr J Environ Integr (2024). https://doi.org/10.1007/s41207-024-00528-w

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