Comparison of ACOLITE and C2RCC automated products for chlorophyll-a estimation in high-Andean lakes using Sentinel-2

Lissette Sánchez-Pérez

https://orcid.org/0009-0000-1315-4234

Spain

Universitat de València image/svg+xml

Laboratorio de Procesado de Imágenes (IPL)

Johanna Elizabeth Ayala-Izurieta

https://orcid.org/0000-0002-3963-0160

Ecuador

Escuela Superior Politécnica del Chimborazo image/svg+xml

Facultad de Ciencias

Valeria Flores-Cantos

https://orcid.org/0000-0002-8032-4093

Ecuador

Escuela Superior Politécnica del Chimborazo image/svg+xml

Facultad de Ciencias

Xavier Sòria-Perpinyà

https://orcid.org/0000-0001-8080-5826

Spain

Universitat de València image/svg+xml

Laboratorio de Procesado de Imágenes (IPL)

Antonio Ruiz-Verdú

https://orcid.org/0000-0001-6832-3496

Spain

Universitat de València image/svg+xml

Laboratorio de Procesado de Imágenes (IPL)

Carlos Arturo Jara-Santillán

https://orcid.org/0000-0002-9103-2125

Ecuador

Escuela Superior Politécnica del Chimborazo image/svg+xml

Facultad de Recursos Naturales

Jesús Delegido

https://orcid.org/0000-0002-2819-6979

Spain

Universitat de València image/svg+xml

Laboratorio de Procesado de Imágenes (IPL)

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Accepted: 2025-12-11

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Published: 2026-01-07

DOI: https://doi.org/10.4995/raet.2026.24824
Funding Data

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Keywords:

Yambo, Atillo, water quality, remote sensing, ACOLITE, atmospheric correction

Supporting agencies:

Este trabajo ha sido financiado por el proyec-to “Applying new methodologies based on remote sensing and environmental modeling to assessment the eutrophication state of lakes and lakes in the Inter-Andean region of Ecuador, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba, Ecuador” bajo la subven-ción IDIPI-336.

Abstract:

The water quality of the high-Andean lakes in Ecuador has been scarcely studied using remote sensing due to multiple factors. Among these, the difficult access stands out, which limits the acquisition of field data necessary for model calibration and validation. Additionally, the high cloud cover and the high sunglint risk of the lakes located close to the equatorial line, aggravated by the daily mountain breeze, further complicate the acquisition of useful images. In this study, the concentration of chlorophyll-a was assessed in two distinct water bodies: the oligotrophic Lake Atillo and the hypereutrophic Yambo Lake. For this purpose, in situdata were compared with automatic products derived from Sentinel-2 images processed using four atmospheric correction methods: ACOLITE and the three variants of C2RCC (C2RCC, C2X, and C2X-COMPLEX). The results indicate that, in Atillo, the best performance was achieved with the standard version of C2RCC, followed by the chl_oc2 model implemented in ACOLITE. Conversely, in Yambo, the best statistical results were obtained with C2X-COMPLEX, followed by the chl_re_bramich model in ACOLITE. Although ACOLITE showed slightly inferior statistical results in both lakes, its ability to effectively correct sunglint makes it, along with C2RCC, a valuable tool for monitoring eutrophication in these systems. It is worth noting that the use of free software (ACOLITE and C2RCC) and openly accessible images (Sentinel-2) facilitates the implementation of temporal monitoring and spatial analysis programs for chlorophyll-a in these high-Andean lakes, offering a viable alternative for assessing their trophic status.

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References:

APHA (2017). Standard Methods for the Examination of Water and Wastewater. American Public Health Association.

Aguilar, P., Vila, I., Sommaruga, R. (2022). Bacterioplankton zonation does exist in high elevation, polymictic lakes. Frontiers in Microbiology, 13. https://doi.org/10.3389/fmicb.2022.764566

Ayala, C., Herrera, M.A. (2019). Monitoreo de la calidad del agua del lago Chinchaycocha, mediante técnicas de teledetección espacial. Revista Iberoamericana Ambiente & Sustentabilidad, 2(2), 23–31. https://doi.org/10.46380/rias.v2i2.46

Ayala-Izurieta, J.E. (2024). Uso de imágenes satelitales en el estudio integral del ecosistema páramo en los Andes ecuatorianos [Tesis doctoral, Universitat de València].

Ayala-Izurieta, J.E., Beltrán Dávalos, A.A., Jara Santillán, C.A., Godoy Ponce, S.C., Van Wittenberghe, S., Verrelst, J., Delegido, J. (2023). Spatial and temporal analysis of water quality in high Andean lakes with Sentinel-2 satellite automatic water products. Sensors, 23(21). https://doi.org/10.3390/s23218774

Baltodano, A., Maligaya, V.H., Agramont, A., van Griensven, A. (2024). Combining Remote Sensing and Citizen Science to Bridge the Water Quality Data Gap: Lake Titicaca Case Study. Remote Sensing Applications: Society and Environment, 36, 101331. https://doi.org/10.1016/j.rsase.2024.101331

Beltrán-Dávalos, A.A., Ayala Izurieta, J.E., Echeverría Guadalupe, M.M., Van Wittenberghe, S., Delegido, J., Otero Pérez, X.L., Merino, A. (2022). Evaluation of soil organic carbon storage of Atillo in the Ecuadorian Andean wetlands. Soil Systems, 6(4). https://doi.org/10.3390/soilsystems6040092

Benavides-Duque, J.C., Hernández-Rodríguez, D. (2022). Páramos, humedales y bosques altoandinos: Experiencias de restauración para la mitigación del cambio climático. In Libro de Ponencias del Segundo Congreso Internacional de Ciencias Aplicadas UNEMI (pp. 531–540). Universidad Estatal de Milagro.

Brockmann, C., Peters, M., Kerstin, S., Sabine, 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. In Living Planet Symposium.

Brunschön, C., Haberzettl, T., Behling, H. (2010). High-resolution studies on vegetation succession, hydrological variations, anthropogenic impact and genesis of a subrecent lake in southern Ecuador. Vegetation History and Archaeobotany, 19(3). https://doi.org/10.1007/s00334-010-0236-4

Bucheli, L.A., Rojas, B.F., Mafla F. (2021). Monitoreo de la calidad del agua por clorofila-a usando imágenes satelitales en el humedal Ramsar Lago Guamués. Ingeniare, 18(34), 64–76.

Camarillo-Naranjo, J.M., Álvarez-Francoso, J.I., Limones-Rodríguez, N., Pita-López, M.F., Aguilar-Alba, M. (2019). The global climate monitor system: From climate data-handling to knowledge dissemination. International Journal of Digital Earth, 12(4), 394–414. https://doi.org/10.1080/17538947.2018.1429502

Carlson, R.E. (1977). A trophic state index for lakes. Limnology and Oceanography, 22(2), 361–369. https://doi.org/10.4319/lo.1977.22.2.0361

Delegido, J., Tenjo, C., Ruiz-Verdú, A., Peña, R., Moreno, J. (2014). Modelo empírico para la determinación de clorofila-a en aguas continentales a partir de los futuros Sentinel-2 y 3. Validación con imágenes HICO. Revista de Teledetección, 41, 37–47. https://doi.org/10.4995/raet.2014.2295

ESA. (2025). Accurate Sentinel-2 inter-band time delays. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-1-2022, 57–64. https://doi.org/10.5194/isprs-annals-V-1-2022-57-2022

Espinoza, V., Rojas, J., Arana, C. (2025). Spatiotemporal Analysis of Water Quality and Optical Changes Induced by Contaminants in Lake Chinchaycocha Using Sentinel-2 and in Situ Data. Water, 17(12), 2195. https://doi.org/10.3390/w17152195

Fernández, D., Muñoz, L., Coronel, E.F. (2023). Determinación del estado trófico del Embalse San Jacinto, con imágenes de satélite Landsat 8, Tarija, Bolivia. Revista AIDIS de Ingeniería y Ciencias Ambientales: Investigación, desarrollo y práctica, 15(2), 1028–1045. https://doi.org/10.22201/iingen.0718378xe.2022.15.2.80850

Franz, B.A., Bailey, S.W., Kuring, N., Werdell, P.J. (2015). Ocean color measurements with the Operational Land Imager on Landsat-8: Implementation and evaluation in SeaDAS. Journal of Applied Remote Sensing, 9(1), 096070. https://doi.org/10.1117/1.JRS.9.0

Giardino, C., Bresciani, M., Braga, F., Fabbretto, A., Ghirardi, N., Pepe, M., ... & Brando, V.E. (2020). First evaluation of PRISMA level 1 data for water applications. Sensors, 20(16), 4553. https://doi.org/10.3390/s20164553

Gons, H.J., Rijkeboer, M., Ruddick, K.G. (2002). A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters. Journal of Plankton Research, 24(9), 947–951. https://doi.org/10.1093/plankt/24.9.947

Gunkel, G., Casallas, R. (2002). Limnology of an equatorial high mountain lake - Lago San Pablo, Ecuador: The significance of deep diurnal mixing for lake productivity. Limnologica, 32, 33–43. https://doi.org/10.1016/S0075-9511(02)80015-9

Harmel, T., Chami, M., Tormos, T., Reynaud, N., Danis, P.A. (2018). Sunglint correction of the Multi-Spectral Instrument (MSI)-Sentinel-2 imagery over inland and sea waters from SWIR bands. Remote Sensing of Environment, 204, 308–321. https://doi.org/10.1016/j.rse.2017.10.022

Iacobelli, M., Orlandi, M., Cimini, D., Marzano, F.S. (2019). Remote Sensing of Coastal Water-quality Parameters from Sentinel-2 Satellite Data in the Tyrrhenian and Adriatic Seas. PhotonIcs & Electromagnetics Research Symposium, 2783–2788. https://doi.org/10.1109/PIERS-Spring46901.2019.9017293

IGME - Instituto Geográfico Militar del Ecuador. (2023a). Distribución y características de los cuerpos de agua en Ecuador.

IGME - Instituto Geográfico Militar del Ecuador. (2023b). Estudio de cuerpos de agua en la región andina ecuatoriana.

INAMHI - Instituto Nacional de Meteorología e Hidrología. (2016). Mapa de climas del Ecuador. Mapa estaciones meteorológicas del Ecuador.

INEN - Instituto Ecuatoriano de Normalización. (2013). Agua. Calidad del agua. Muestreo. Técnicas de muestreo (NTE INEN 2176:2013).

Liu, J., Baulch, H.M., Macrae, M.L., Wilson, H.F., Elliott, J.A., Bergström, L., Glenn, A.J., Vadas, P.A. (2019). Agricultural water quality in cold climates: Processes, drivers, management options, and research needs. Journal of Environmental Quality, 48(4), 792–802. https://doi.org/10.2134/jeq2019.05.0220

Llodrà-Llabrés, J., Martínez-López, J., Postma, T., Pérez-Martínez, C., Alcaraz-Segura, D. (2023). Retrieving water chlorophyll-a concentration in inland waters from Sentinel-2 imagery: Review of operability, performance and ways forward. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2023.103605

https://doi.org/10.1016/j.jag.2023.103605

MAATE - Ministerio del Ambiente, Agua y Transición Ecológica del Ecuador. (2020). Parque Nacional Sangay: Gestión y conservación de áreas protegidas en el Ecuador.

MAE - Ministerio del Ambiente del Ecuador. (2015). Sitios RAMSAR. Sistema Nacional de Áreas Protegidas del Ecuador.

Marzano, F.S., Iacobelli, M., Orlandi, M., Cimini, D. (2021). Coastal Water Remote Sensing from Sentinel-2 Satellite Data Using Physical, Statistical, and Neural Network Retrieval Approach. IEEE Transactions on Geoscience and Remote Sensing, 59(2), 915–928. https://doi.org/10.1109/TGRS.2020.2980941

Moses, W.J., Gitelson, A.A., Berdnikov, S., Saprygin, V., Povazhnyi, V. (2012). Operational MERIS-based NIR-red algorithms for estimating chlorophyll-a concentrations in coastal waters: The Azov Sea case study. Remote Sensing of Environment, 121, 118–124. https://doi.org/10.1016/j.rse.2012.01.024

Neeley, A.R., Cetinić, I., Thomas, C. (2024). Evaluation of fluorometrically-derived Chlorophyll-a as a satellite ocean color validation product using statistical metrics. Opt Express. 2025 Mar 10;33(5):10212–10227. https://doi.org/10.1364/OE.549547

OCDE - Organización para la Cooperación y el Desarrollo Económicos. (1982). Eutrophication of waters: Monitoring, assessment and control. OCDE.

Odermatt, D., Gitelson, A., Brando, V.E., Schaepman, M. (2012). Review of constituent retrieval in optically deep and complex waters from satellite imagery. Remote Sensing of Environment, 118, 116–126. https://doi.org/10.1016/j.rse.2011.11.013

Ogashawara, I., Kiel, C., Jechow, A., Kohnert, K., Ruhtz, T., Grossart, H.P., Hölker, F., Nejstgaard, J.C., Berger, S.A., Wollrab, S. (2021). The use of sentinel-2 for chlorophyll-A spatial dynamics assessment: A comparative study on different lakes in northern Germany. Remote Sensing, 13(8), 1542. https://doi.org/10.3390/rs1308

Orquera, E., Cabrera, M. (2020). Caracterización del estado trófico de la laguna de Yambo mediante análisis de fósforo. InfoANALÍTICA, 8(1), 99–111. https://doi.org/10.26807/ia.v8i1.119

Pan, Y., Bélanger, S., Huot, Y. (2022). Evaluation of atmospheric correction algorithms over lakes for high-resolution multispectral imagery: Implications of adjacency effect. Remote Sensing, 14(13). https://doi.org/10.3390/rs14132979

Pereira-Sandoval, M., Ruiz-Verdú, A., Tenjo, C., Delegido, J., Urrego, P., Peña, R., Vicente, E., Soria, J., Soria, J., Moreno, J. (2018). Calibration and validation of algorithms for the estimation of chlorophyll-a in inland waters with sentinel-2. International Geoscience and Remote Sensing Symposium (IGARSS), 2018-July, 9276–9279. https://doi.org/10.1109/IGARSS.2018.8517371

Pizani, F.M.C., Maillard, P., Ferreira, A.F.F., De Amorim, C.C. (2020). Estimation of water quality in a reservoir from sentinel-2 msi and landsat-8 oli sensors. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 5(3), 401–408. https://doi.org/10.5194/isprs-annals-V-3-2020-401-2020

Ramos, J., Di-Laccio, J.L., Uzuriaga, J., Bonomo, N. (2024). Remote sensing of cyanobacterias with Sentinel-2 in the Salto Grande. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2/W6-2024, 45–50. https://doi.org/10.5194/isprs-archives-XLVIII-2-W6-2024-45-2024

Rodrigues, T., Prado, H., Farjalla, V., Pires, A. (2022). The major threats to biodiversity affects freshwater ecosystems across multiple ecological levels. Authorea, 03. https://doi.org/10.22541/au.166748077.71897506/v1

Rodríguez-López, L., Duran-Llacer, I., Bravo Alvarez, L., Lami, A., Urrutia, R. (2023). Recovery of Water Quality and Detection of Algal Blooms in Lake Villarrica through Landsat Satellite Images and Monitoring Data. Remote Sensing, 15(7), 1929. https://doi.org/10.3390/rs15071929

Rodríguez-López, L., Alvarez, D., Bustos Usta, D., Duran-Llacer, I., Bravo Alvarez, L., Fagel, N., Bourrel, L., Frappart, F., Urrutia, R. (2024). Chlorophyll-a Detection Algorithms at Different Depths Using In Situ, Meteorological, and Remote Sensing Data in a Chilean Lake. Remote Sensing, 16(4). https://doi.org/10.3390/rs16040647

Ruiz-Verdú, A., Jiménez, J.C., Lazzaro, X., Tenjo, C., Delegido, J., Pereira, M., Sobrino, J.A., Moreno, J. (2016). Comparison of MODIS and Landsat-8 retrievals of Chlorophyll-a and water temperature over Lake Titicaca. International Geoscience and Remote Sensing Symposium, 7643–7646. https://doi.org/10.1109/IGARSS.2016.7730993

Schröder, T., Schmidt, S.I., Kutzner, R.D., Bernert, H., Stelzer, K., Friese, K., Rinke, K. (2024). Exploring spatial aggregations and temporal windows for water quality match-up analysis using Sentinel-2 MSI and Sentinel-3 OLCI data. Remote Sensing, 16(15). https://doi.org/10.3390/rs16152798

Soriano-González, J., Urrego, E.P., Sòria-Perpinyà, X., Angelats, E., Alcaraz, C., Delegido, J., Ruíz-Verdú, A., Tenjo, C., Vicente, E., Moreno, J. (2022). Towards the combination of C2RCC processors for improving water quality retrieval in inland and coastal areas. Remote Sensing, 14(5). https://doi.org/10.3390/rs14051124

Sòria-Perpinyà, X., Urrego, P., Pereira-Sandoval, M., Ruiz-Verdú, A., Peña, R., Soria, J.M., Delegido, J., Vicente, E., Moreno, J. (2019). Monitoring the ecological state of a hypertrophic lake (Albufera of València, Spain) using multitemporal sentinel-2 images. Limnetica, 38(1), 457–469. https://doi.org/10.23818/limn.38.26

Soto, D. (2002). Oligotrophic patterns in southern Chilean lakes: the relevance of nutrients and mixing depth. Revista Chilena de Historia Natural, 75, 377–393. https://doi.org/10.4067/S0716-078X2002000200009

Tavares, M.H., Lins, R.C., Harmel, T., Fragoso, C.R., Martínez, J.M., Motta-Marques, D. (2021). Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 174, 215–236. https://doi.org/10.1016/j.isprsjprs.2021.01.021

Toming, K., Kutser, T., Laas, A., Sepp, M., Paavel, B., Nõges, T. (2016). First experiences in mapping lakewater quality parameters with sentinel-2 MSI imagery. Remote Sensing, 8(8). https://doi.org/10.3390/rs8080640

Tóth, V.Z., Ladányi, M., Jung, A. (2021). Adaptation and Validation of a Sentinel-Based Chlorophyll-a Retrieval Software for the Central European Freshwater Lake, Balaton. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 89(4), 335–344. https://doi.org/10.1007/s41064-021-00

Van Colen, W.R., Mosquera, P., Vanderstukken, M., Goiris, K., Carrasco, M.-C., Decaestecker, E., Alonso, M., León-Tamariz, F., Muylaert, K. (2017). Limnology and trophic status of glacial lakes in the tropical Andes (Cajas National Park, Ecuador). Freshwater Biology, 62(2), 458–473. https://doi.org/10.1111/fwb.12878

Vanhellemont, Q. (2019). Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives. Remote Sensing of Environment, 225, 175–192. https://doi.org/10.1016/j.rse.2019.03.010

Vanhellemont, Q. (2025). ACOLITE User Manual. http://odnature.naturalsciences.be/remsem/acolite-forum/

Vanhellemont, Q., Ruddick, K. (2016). ACOLITE for Sentinel-2: Aquatic applications of MSI imagery. In ESA Living Planet Symposium (SP-740).

Wang, M., Shi, W., Watanabe, S. (2020). Satellite-measured water properties in high altitude Lake Tahoe. Water Research, 178. https://doi.org/10.1016/j.watres.2020.115839

Werther, M., Odermatt, D., Simis, S.G.H., Gurlin, D., Lehmann, M.K., Kutser, T., Gupana, R., Varley, A., Hunter, P.D., Tyler, A.N., Spyrakos, E. (2022). A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes. Remote Sensing of Environment, 283. https://doi.org/10.1016/j.rse.2022.113295

Yánez, D., Susana, M., Martínez-Fresneda, M., Mestre, M., Villaruel, A. (2019). Valoración económica del servicio limnológico de la laguna Magdalena-Atillo, Riobamba-Ecuador. Enfoque UTE, 10(2), 1–16. https://doi.org/10.29019/enfoque.v10n2.332

Zeballos, G., Soruco, Á., Cusicanqui, D., Joffré, R., Rabatel, A. (2014). Uso de imágenes satelitales, modelos digitales de elevación y sistemas de información geográfica para caracterizar la dinámica espacial de glaciares y humedales de alta montaña en Bolivia. Ecología en Bolivia, 49(3), 14–2

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