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Multitemporal Analysis of Inland Water Bodies in the Context of Water Security: A Colombian Case Study
dc.contributor.author | Sánchez-Guevara, Johana Andrea | |
dc.contributor.author | Solano-Correa, Yady Tatiana | |
dc.contributor.author | Pencue-Fierro, Edgar Leonairo | |
dc.date.accessioned | 2024-09-12T14:00:31Z | |
dc.date.available | 2024-09-12T14:00:31Z | |
dc.date.issued | 2024-07-11 | |
dc.date.submitted | 2024-09-11 | |
dc.identifier.citation | J. A. Sánchez-Guevara; Y. T. Solano-Correa; E. L. Pencue-Fierro, "Multitemporal Analysis of Inland Water Bodies in the Context of Water Security: A Colombian Case Study," in 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, Jul. 2024. DOI: 10.1109/IGARSS53475.2024.10640521. | spa |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/12730 | |
dc.description.abstract | This paper presents an analysis of two inland water bodies, Salvajina Reservoir and Sonso’s lagoon, located in the Upper Cauca River Basin, Colombia. Such analysis is carried out in the context of Water Security (WS) by considering their inherent problems to be monitored in a permanent manner (i.e., difficult access, insecurity) and taking advantage of Remote Sensing (RS) platforms. To do so, temporal mapping was done by: (i) automatically segmenting the inland water bodies; (ii) applying the Case 2 Regional Coast Color (C2RCC) algorithm to obtain an approximation to water quality parameters (e.g., chl-a, TSM); (iii) extracting statistical information such as area variation, radiometric index values, and mean values in parameters of water quality; and (iv) providing relevant information for decision makers in the context of WS. The analysis was done over Landsat-8 and Sentinel-2 images between 2014-2021 and 2020-2021, respectively. Planet images were used to validate the segmentation results. | spa |
dc.format.extent | 4 páginas | |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.source | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) | spa |
dc.title | Multitemporal Analysis of Inland Water Bodies in the Context of Water Security: A Colombian Case Study | spa |
dcterms.bibliographicCitation | “Country (or area) | SDG 6 Data.” Accessed: May 23, 2024. [Online]. Available: https://sdg6data.org/en/country-orarea/ Colombia | spa |
dcterms.bibliographicCitation | FAO 2015. AQUASTAT, “Perfil de País – Colombia.” | spa |
dcterms.bibliographicCitation | D. Yanhua et al., “Analysis of Landsat-8 OLI imagery for land surface water mapping,” Remote Sens. Lett., vol. 5, Jul. 2014, doi: 10.1080/2150704X.2014.960606. | spa |
dcterms.bibliographicCitation | E. Ozelkan, “Water Body Detection Analysis Using NDWI Indices Derived from Landsat-8 OLI,” Pol. J. Environ. Stud., vol. 29, Aug. 2019, doi: 10.15244/pjoes/110447. | spa |
dcterms.bibliographicCitation | M. Fan and T. Lee, “Variants of Seeded Region Growing,” IET Image Process., vol. 9, Jun. 2015, doi: 10.1049/ietipr. 2014.0490. | spa |
dcterms.bibliographicCitation | M. V. Peppa, Y. T. Solano-Correa, J. P. Mills, and A. T. Haile, “Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube,” in IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul. 2023, pp. 5359–5362. doi: 10.1109/IGARSS52108.2023.10282717. | spa |
dcterms.bibliographicCitation | M. Niroumand-Jadidi, F. Bovolo, L. Bruzzone, and P. Gege, “Inter-Comparison of Methods for Chlorophyll-a Retrieval: Sentinel-2 Time-Series Analysis in Italian Lakes,” Remote Sens., vol. 13, p. 2381, Jun. 2021, doi: 10.3390/rs13122381 | spa |
dcterms.bibliographicCitation | T. Seleem, D. Bafi, M. Karantzia, and I. Parcharidis, “Water Quality Monitoring Using Landsat 8 and Sentinel-2 Satellite Data (2014–2020) in Timsah Lake, Ismailia, Suez Canal Region (Egypt),” J. Indian Soc. Remote Sens., vol. 50, Sep. 2022, doi: 10.1007/s12524-022-01613-9. | spa |
dcterms.bibliographicCitation | X. Shi et al., “Monitoring the Water Quality Distribution Characteristics in the Huaihe River Basin Based on the Sentinel- 2 Satellite,” Water, vol. 16, no. 6, Art. no. 6, Jan. 2024, doi: 10.3390/w16060860. | spa |
dcterms.bibliographicCitation | J. Soriano-González et al., “Towards the Combination of C2RCC Processors for Improving Water Quality Retrieval in Inland and Coastal Areas,” Remote Sens., vol. 14, no. 5, Art. no. 5, Jan. 2022, doi: 10.3390/rs14051124. | spa |
dcterms.bibliographicCitation | A. Fisher, N. Flood, and T. Danaher, “Comparing Landsat water index methods for automated water classification in eastern Australia,” Remote Sens. Environ., vol. 175, pp. 167–182, Mar. 2016, doi: 10.1016/j.rse.2015.12.055. | spa |
dcterms.bibliographicCitation | C. Brockmann, R. Doerffer, M. Peters, S. Kerstin, S. Embacher, and A. Ruescas, “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,” vol. 740, p. 54, Aug. 2016. | spa |
dcterms.bibliographicCitation | J. Soriano-González et al., “Towards the Combination of C2RCC Processors for Improving Water Quality Retrieval in Inland and Coastal Areas,” Remote Sens., vol. 14, no. 5, Art. no. 5, Jan. 2022, doi: 10.3390/rs14051124. | spa |
dcterms.bibliographicCitation | M. Niroumand-Jadidi and F. Bovolo, “Sentinel-2 Reveals Abrupt Increment of Total Suspended Matter While Ever Given Ship Blocked the Suez Canal,” Water, vol. 13, Nov. 2021, doi: 10.3390/w13223286. | spa |
dcterms.bibliographicCitation | F. Filipponi, “River Color Monitoring Using Optical Satellite Data,” Jun. 2018, p. 5336. doi: 10.3390/IECG_2018-05336. | spa |
datacite.rights | http://purl.org/coar/access_right/c_14cb | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.type.driver | info:eu-repo/semantics/lecture | spa |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | spa |
dc.identifier.doi | 10.1109/IGARSS53475.2024.10640521 | |
dc.subject.keywords | Water Security | spa |
dc.subject.keywords | Temporal analysis | spa |
dc.subject.keywords | Segmentation | spa |
dc.subject.keywords | C2RCC | spa |
dc.subject.keywords | Remote Sensing | spa |
dc.rights.accessrights | info:eu-repo/semantics/closedAccess | spa |
dc.identifier.instname | Universidad Tecnológica de Bolívar | spa |
dc.identifier.reponame | Repositorio Universidad Tecnológica de Bolívar | spa |
dc.publisher.place | Cartagena de Indias | spa |
dc.subject.armarc | LEMB | |
dc.publisher.faculty | Ciencias Básicas | spa |
dc.type.spa | http://purl.org/coar/resource_type/c_c94f | spa |
dc.audience | Investigadores | spa |
oaire.resourcetype | http://purl.org/coar/resource_type/c_c94f | spa |
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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.