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Four-decade (1977–2017) landscape tale of tourist reservoir hotspot El Piñol-Guatapé, Colombia

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Abstract

Efficient management of land use/land cover (LULC) features is vital for a balanced sustainable ecosystem. Thus, this work aimed to document the LULC changes in the less studied El Peñol-Guatapé reservoir, Antioquia, Colombia, especially in the reservoir area due to the construction of a hydro-electric power plant. For this study, Landsat images of 1977, 1986, 1997, and 2017 were used and the results indicated an increase in the settlement area and road networks by 0.10 and 0.60%, respectively, while during 1986 to 2017, cropland, plantation, dense forest, and open forest areas presented an increase of 0.52, 1.06, 2.87 and 2.61%, respectively. However, the marshy vegetation, scrub forest and fallow land decreased to − 0.51, − 3.79 and − 4.29%, respectively, in the same period. The water body before and after the completion of reservoir project denoted an increase from 13.1 km2 in 1977 to 45.7 km2 in 1986. This study provides a first-hand report on LULC dynamics in this tourism dominated municipalities that will serve as a reference for ecosystem management to reconcile the conflicts between different LULC classes in ecologically enriched regions.

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References

  • Aguirre-Ramírez, N. J., Palacio, J., & Rastrepo, J. J. R. (2002). Aplicación de algunos modelos de calidad de agua en dos sitios del embalse El Peñol-Guatapé (Antioquia, Colombia). Revista Facultad De Ingeniería, 22, 18–29. (in Spanish).

    Google Scholar 

  • Aguirre-Ramírez, N. J., Baena, J. P., & Restrepo, J. J. R. (2007). Características limnológicas del Embalse El Peñol-Guatapé, Colombia. Revista Ingenierías De Medellín, 6(10), 53–66. (in Spanish).

    Google Scholar 

  • Ahmed, K. R., & Akter, S. (2017). Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with landsat multi-spectral surface reflectance satellite data. Remote Sensing Applications: Society and Environment, 8, 168–181.

    Article  Google Scholar 

  • Alam, A., Bhat, M. S., & Maheen, M. (2020). Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley. Geo Journal, 85, 1529–1543.

    Google Scholar 

  • Allam, M., Bakr, N., & Elbably, W. (2019). Multi-temporal assessment of land use/land cover change in arid region based on Landsat satellite imagery: Case study in Fayoum Region, Egypt. Remote Sensing Applications: Society and Environment, 14, 8–19.

    Article  Google Scholar 

  • Alshari, E. A., & Gawali, B. W. (2021). Development of classification system for LULC using remote sensing and GIS. Global Transitions Proceedings, 2, 8–17.

    Article  Google Scholar 

  • Anselm, N., Brokamp, G., & Schütt, B. (2018). Assessment of land cover change in peri-urban high andean environments South of Bogotá, Colombia. Land, 7(2), 75.

    Article  Google Scholar 

  • Ayele, H. (2011). Land use/land cover change and impact of jatropha on soil fertility: the case of Mieso and Bati Districts, Ethiopia (Doctoral Dissertation. Haramaya University).

  • Babamaaji, R. A., & Lee, J. (2014). Land use/land cover classification of the vicinity of Lake Chad using NigeriaSat-1 and Landsat data. Environmental Earth Sciences, 71, 4309–4317.

    Article  Google Scholar 

  • Belay, T., & Ayalew, D. (2019). Remote sensing applications: Society and environment land use and land cover dynamics and drivers in the Muga watershed, Upper Blue Nile basin, Ethiopia. Remote Sensing Applications: Society and Environment., 15, 100249.

    Article  Google Scholar 

  • Belay, T., & Mengistu, D. A. (2019). Land use and land cover dynamics and drivers in the Muga watershed, Upper Blue Nile basin, Ethiopia (p. 100249). Society and Environment.

    Google Scholar 

  • Bewket, W. (2002). Land cover dynamics since the 1950s in Chemoga watershed, Blue Nile Basin, Ethiopia. Mountain Research and Development, 22, 263–269.

    Article  Google Scholar 

  • Bhandari, A. K., Kumar, A., & Singh, G. K. (2015). Improved feature extraction scheme for satellite images using NDVI and NDWI technique based on DWT and SVD. Arabian Journal of Geosciences, 8, 6949–6966.

    Article  Google Scholar 

  • Bhattacharjee, P., & Das, D. (2020). Land use and land cover changes due to construction of reservoir and irrigation canals. Vision towards environmentally sustainable future, New Delhi publishers.

    Google Scholar 

  • Butt, A., Shabbir, R., Ahmad, Sh. S., & Aziz, N. (2015). Land use change mapping and analysis using remote sensing and GIS: A case study of Simly watershed, Islamabad Pak. Egypt. Journal of Remote Sensing and Space Sciences., 18, 251–259.

    Google Scholar 

  • Canaz, S., Aliefendioğlu, Y., & Tanrıvermis¸, H. (2017). Change detection using Landsat images and an analysis of the linkages between the change and property tax values in the Istanbul Province of Turkey. J. Environ. Manag., 200, 446–455.

    Article  Google Scholar 

  • Chaves, M. E., & Arango, N. (1998). Informe Nacional sobre el estado de la Biodiversidad en Colombia 1997 (Eds.). Instituto de Investigación de Recursos Biológicos Alexander von Humboldt PNUMA y Ministerio de Medio Ambiente. vol. 3. Bogotá, Colombia.

  • Choudhary, K., Boori, M. S., & Kupriyanov, A. (2018). Spatial modelling for natural and environmental vulnerability through remote sensing and GIS in Astrakhan, Russia. The Egyptian Journal of Remote Sensing and Space Science, 21(2), 139–147.

    Article  Google Scholar 

  • Chughtai, A. H., Abbasi, H., & Karas, I. R. (2021). A review on change detection method and accuracy assessment for land use land cover. Remote Sensing Applications: Society and Environment, 22, 100482.

    Article  Google Scholar 

  • Clerici, N., Cote-Navarro, F., Escobedo, F. J., Rubiano, K., & Villegas, J. C. (2019). Spatio-temporal and cumulative effects of land use-land cover and climate change on two ecosystem services in the Colombian Andes. Science of the Total Environment, 685, 1181–1192.

    Article  CAS  Google Scholar 

  • Congalton, R., & Green, K. (2009). Assessing the accuracy of remotely sensed data: Principles and practices, 2nd ed. CRC Press. 200p.

  • Das, S., & Angadi, D. P. (2020). Land use-land cover (LULC) transformation and its relation with land surface temperature changes: A case study of Barrackpore Subdivision, West Bengal, India (p. 100322). Society and Environment.

    Google Scholar 

  • Deng, L., Kim, D. G., Peng, C., & Shangguan, Z. (2018). Controls of soil and aggregate-associated organic carbon variations following natural vegetation restoration on the Loess Plateau in China. Land Degradation and Development, 29, 3974–3984.

    Article  Google Scholar 

  • Dewan, A. M., Yamaguchi, Y., & Ziaur Rahman, M. (2012). Dynamics of land use/cover changes and the analysis of landscape fragmentation in Dhaka Metropolitan, Bangladesh. GeoJournal, 77, 315–330.

    Article  Google Scholar 

  • Fichera, C. R., Modica, G., & Pollino, M. (2017). Land cover classification and change- detection analysis using multi-temporal remote sensed imagery and landscape metrics. European Journal of Remote Sensing, 45(1), 1–18.

    Article  Google Scholar 

  • Gallego Blandón, G. E. (2017). Micro-history as a pedagogical tool: El peñol, Antioquia, Colombia. Diálogos Sobre Educación Temas Actuales En Investigación Educativa, 8(15), 1–19.

    Google Scholar 

  • Garcia Corrales, L. M., Avila Rangel, H., & Gutierrez Llantoy, R. (2019). Land-use and socioeconomic changes related to armed conflicts: A Colombian regional case study. Environmental Science & Policy, 97, 116–124.

    Article  Google Scholar 

  • Gašparović, M., Zrinjski, M., & Gudelj, M. (2019). Automatic cost-effective method for land cover classification (ALCC). Computers, Environment and Urban Systems, 76, 1–10.

    Article  Google Scholar 

  • Gil-Guarín, I. C., Villabona-González, S. L., Parra-García, E., & Echenique, R. O. (2020). Environmental factors driving phytoplankton biomass and diversity in a tropical reservoir. Revista de la Academia Colombiana de Ciencias Exactas, Fisicas y Naturales., 44(171), 423–436.

    Article  Google Scholar 

  • González Ramírez, F. G. (2020). Análisis de la configuración de la identidad cultural del estudiantado guatapense (p. 143p). PhD tesis, Universidad de Antioquia, Colombia.

    Google Scholar 

  • Ha, T. V., Tuohy, M., Irwin, M., & Tuan, P. V. (2020). Monitoring and mapping rural urbanization and land use changes using Landsat data in the northeast subtropical region of Vietnam. Egyptian Journal of Remote Sensing & Space Sciences, 23, 11–19.

    Article  Google Scholar 

  • Hailu, A., Mammo, S., & Kidane, M. (2020). Dynamics of land use, land cover change trend and its drivers in Jimma Geneti District, Western Ethiopia. Land Use Policy, 99, 105011.

    Article  Google Scholar 

  • Hansen, M., Defries, R., Townshend, J., Sohl, G. X., Deng, W., & Li, S. N. (2008). The influence of dams on ecohydrological conditions in the Huaihe River basin, China. Ecological Engineering, 33, 233–241.

    Article  Google Scholar 

  • Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117–124.

    Article  Google Scholar 

  • Huang, C., Huang, X., Peng, C., Zhou, Z., Teng, M., & Wang, P. (2019). Land use/cover change in the Three Gorges Reservoir area, China: Reconciling the land use conflicts between development and protection. CATENA, 175, 388–399.

    Article  Google Scholar 

  • Iqbal, M. F., & Khan, I. A. (2014). Spatiotemporal land use land cover change analysis and erosion risk mapping of Azad Jammu and Kashmir, Pakistan. Egyptian Journal of Remote Sensing and Space Science, 17(2), 209–229.

    Article  Google Scholar 

  • Ivits, E., Cherlet, M., Mehl, W., & Sommer, S. (2009). Estimating the ecological status and change of riparian zones in Andalusia assessed by multi-temporal AVHHR datasets. Ecological Indicators, 9(3), 422–431.

    Article  Google Scholar 

  • Jawak, S. D., & Luis, A. J. (2015). A rapid extraction of water body features from antarctic coastal oasis using very high-resolution satellite remote sensing data. Aquatic Procedia, 4, 125–132.

    Article  Google Scholar 

  • Juan Carlos López, D. (2009). El atardecer de la modernización: La historia del megaproyecto hídrico GUATAPÉ-PEÑOL en el noroccidente colombiano, años 1960/1970. Ecos De Economía, 28, 75–108. (in Spanish).

    Google Scholar 

  • Kabanda, T. H., & Palamuleni, L. G. (2013). Land use/cover changes and vulnerability to flooding in the Harts catchment, South Africa. South African Geographical Journal, 95(1), 105–116.

    Article  Google Scholar 

  • Khan, S., Tariq, R., Yuanlai, C., & Blackwell, J. (2006). Can irrigation be sustainable? Agricultural Water Management, 80 (1-3), 87–99.

  • Kicklighter, D. W., Cai, Y., Zhuang, Q., Parfenova, E. I., Paltsev, S., Sokolov, A. P., Melillo, J. M., Reilly, J. M., Tchebakova, N. M., & Lu, X. (2014). Potential influence of climate- induced vegetation shifts on future land use and associated land carbon fluxes in northern Eurasia. Environmental Research Letters, 9, 35004.

    Article  Google Scholar 

  • Kjaerland, F. (2007). A real option analysis of investments in hydropower – The case of Norway. Energ. Policy, 35, 5901–5908.

    Article  Google Scholar 

  • Kummu, M., & Varis, O. (2007). Sediment-related impacts due to upstream reservoir trapping, the Lower Mekong River. Geomorphology, 85, 275–293.

    Article  Google Scholar 

  • Lawler, J. J., Lewis, D. J., Nelson, E., Plantinga, A. J., Polasky, S., Withey, J. C., Helmers, D. P., Martinuzzi, S., Pennington, D., & Radeloff, V. C. (2014). Projected land-use change impacts on ecosystem services in the United States. Proceedings of the National Academy of Sciences, 111(20), 7492–7497.

    Article  CAS  Google Scholar 

  • Leathwick, J. R., West, D., Gerbeaux, P., Kelly, D., Robertson, H., Bronwn, D., Chadderton, W. L., & Ausseil, A.-G. (2010). Freshwater ecosystems ofNew Zealand (FENZ) geodatabase version one - user guide. Wellington: NIWA, p. 56.

  • Li, M., Zang, S., Zhang, B., Li, S., & Wu, C. (2014). A review of remote sensing image classification techniques: The role of spatio-contextual information. European Journal of Remote Sensing, 47(1), 389–411.

    Article  Google Scholar 

  • Liao, K. (2004). Application of RS and GIS in ecological environmental dynamic monitoring and management information system. In: Proc. 12th Int. Conf. on Geoinformatics—Geospatial Information Research: Bridging the Pacific and Atlantic, University of Gävle, Sweden, 607–614.

  • Liu, S. Z., Zhang, J. P., Li, Y., & Liu, G. C. (2002). Impacts of human activities on the land desertification in the Dry-Hot Valley of the Jinshajiang River. Archives of Agronomy and Soil Science, 48(4), 349–356.

    Article  Google Scholar 

  • Liu, H., Yin, J., & Feng, L. (2018). The dynamic changes in the storage of the Danjiangkou Reservoir and the influence of the South-North Water Transfer Project. Science and Reports, 8, 1–12.

    Google Scholar 

  • Loveland T. R., & Acevedo W., (2006). Land cover change in the Eastern United States, US Geological survey. https://landcovertrends.usgs.gov/east/regionalSummary.html. Accessed 1 Aug 2019.

  • Lu, X. M., & Zhang, N. (2020). An improved mapping with super-resolved multispectral images for geostationary satellites. Remote Sens. (basel), 12(3), 466.

    Article  Google Scholar 

  • Lu, D., Mausel, P., Brondizio, E., & Moran, E. (2004). Change detection techniques. International Journal of Remote Sensing, 25(12), 2365–2401.

    Article  Google Scholar 

  • María Urrea, JX. (2009). Los paisajes del desarrollo la represa del Nare y la producción social de los espacios en Guatapé, Antioquia (1950–2000). Master´s thesis, Universidad de Antioquia, Medellín. p, 160.

  • Marín Martínez, DA. (2018). La influencia del embalse El Peñol-Guatapé, Antioquia en los patrones climáticos y meteorológicos a escala local y regional. Universidad El Bosque, Colombia, p. 90. http://hdl.handle.net/20.500.12495/3258.

  • Mather, P., & Tso, B. (2016). Classification methods for remotely sensed data. CRC Press.

    Book  Google Scholar 

  • Mendoza, S. J. E., & Etter, R. A. (2002). Multitemporal analysis (1940–1996) of land cover changes in the southwestern Bogotá high plain (Colombia). Landscape and Urban Planning, 59, 147–158.

    Article  Google Scholar 

  • Meshesha, T. W., Tripathi, S. K., & Khare, D. (2016). Analyses of land use and land cover change dynamics using GIS and remote sensing during 1984 and 2015 in the Beressa Watershed Northern Central Highland of Ethiopia. Modeling Earth Systems and Environment, 2(4), 1–12.

    Article  Google Scholar 

  • Miheretu, B. A., & Yimer, A. A. (2017). Land use/land cover changes and their environmental implications in the Gelana sub-watershed of Northern highlands of Ethiopia. Environmental Systems Research, 6, 7.

    Article  Google Scholar 

  • Mottet, A., Ladet, S., Coqué, N., & Gibon, A. (2006). Agricultural land-use change and its drivers in mountain landscapes: A case study in the Pyrenees. Agriculture, Ecosystems & Environment, 114, 296–310.

    Article  Google Scholar 

  • Municipio de Guatapé. (2001). Plan Estratégico de Desarrollo Cultural, Humano Social y Sostenible. Movimiento Niño 2001–2010. S.P., p. 190.

  • Onur, I., Maktav, D., Sari, M., & Kemal Sönmez, N. (2009). Change detection of land cover and land use using remote sensing and GIS: A case study in Kemer, Turkey. International Journal of Remote Sensing., 30(7), 1749–1757.

    Article  Google Scholar 

  • Patel, S.K., Verma, P., Singh, G.S., (2019). Agricultural growth and land use land cover change in peri-urban India. Environmental Monitoring and Assessment, 191, 600.

  • Petit, C., Scudder, T., & Lambin, E. (2010). Quantifying processes of land-cover change by remote sensing: Resettlement and rapid land-cover changes in south-eastern Zambia. Int. J. Rem. Sens., 22(17), 3435–3456.

    Article  Google Scholar 

  • Prabu, P., & Dar, M. A. (2018). Land-use/cover change in Coimbatore urban area (Tamil Nadu, India)-A remote sensing and GIS-based study. Environmental Monitoring and Assessment, 190(8), 445.

    Article  CAS  Google Scholar 

  • Quintero-Gallego, M. E., Quintero-Angel, M., & Vila-Ortega, J. J. (2018). Exploring land use/land cover change and drivers in Andean mountains in Colombia: A case in rural Quindío. Science of the Total Environment, 634, 1288–1299.

    Article  CAS  Google Scholar 

  • Rahman, A., Kumar, S., Fazal, S., & Siddiqui, M. A. (2012). Assessment of land use/land cover change in the north-West district of Delhi using remote sensing and GIS techniques. Journal of the Indian Society of Remote Sensing, 40(4), 689–697.

    Article  Google Scholar 

  • Román-Cuesta, R. M., Carmona-Moreno, C., Lizcano, G., New, M., Silman, M., Knoke, T., Malhi, Y., Oliveras, I., Asbjornsen, H., & Vuille, M. (2014). Synchronous fire ac- tivity in the tropical high Andes: An indication of regional climate forcing. Global Change Biology, 20, 1929–1942.

    Article  Google Scholar 

  • Romero-Ruiz, M. H., Flantua, S. G. A., Tansey, K., & Berrio, J. C. (2012). Landscape transformations in savannas of northern South America: Land use/cover changes since 1987 in the Llanos Orientales of Colombia. Applied Geography, 32(2), 766–776.

    Article  Google Scholar 

  • Sáenz, O. (1985). Historia del proyecto de la central hidroeléctrica del Nare, 1930–1963: Características de las diferentes etapas del proyecto: Borradores de estudios hechos en los municipios de Guatapé y el Peñol. Universidad de Antioquia. Instituto de Estudios Regionales. SP. (in Spanish).

    Google Scholar 

  • Saleem, A., Corner, R., & Awange, J. (2018). On the possibility of using CORONA and Landsat data for evaluating and mapping long-term LULC: Case study of Iraqi Kurdistan. Applied Geography, 90, 145–154.

    Article  Google Scholar 

  • Salvati, L., Zitti, M., & Perini, L. (2016). Fifty years on: Long-term patterns of land sensitivity to desertification in Italy. Land Degradation and Development, 27(2), 97–107.

    Article  Google Scholar 

  • Samanta, S., & Paul, S. K., (2016). Geospatial analysis of shoreline and land use/land cover changes through remote sensing and GIS techniques. Modeling Earth Systems and Environment, 2, 108.

  • Sánchez-Cuervo, A. M., Aide, T. M., Clark, M. L., & Etter, A. (2012). Land cover change in Colombia: Surprising forest recovery trends between 2001 and 2010. PLoS One, 7(8), e43943.

    Article  Google Scholar 

  • Sánchez-Espinosa, A., & Schröder, C. (2019). Land use and land cover mapping in wetlands one step closer to the ground: Sentinel-2 versus landsat 8. Journal of Environmental Management, 247, 484–498.

    Article  Google Scholar 

  • Sealey, K. S., Binder, P.-M., & Burch, R. K. (2018). Financial credit drives urban land-use change in the United States. Anthropocene, 21, 42–51.

    Article  Google Scholar 

  • Shackelford, A. K., & Davis, C. H. (2003). A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas. IEEE Transactions on Geoscience and Remote Sensing, 41, 2354–2364.

    Article  Google Scholar 

  • Shen, P., Zhang, J., & Su, Z. (2011). The application of remote sensing in the extraction of urban land use changes. Procedia Environmental Sciences, 10, 1589–1594.

    Article  Google Scholar 

  • Sherrouse, B. C., Semmens, D. J., Ancona, Z. H., & Brunner, N. M. (2017). Analyzing land-use change scenarios for trade-offs among cultural ecosystem services in the Southern Rocky Mountains. Ecosystem Services, 26, 431–444.

    Article  Google Scholar 

  • Siraj, M., Zhang, K., & Moges, K. (2018). Retrospective analysis of land use land cover dynamics using GIS and remote sensing in central highlands of Ethiopia. Journal of Landscape Ecology, 11(2), 31–52.

    Article  Google Scholar 

  • Sousa da Silva, V., Salami, G., da Silva, M. I. O., Silva, E. A., Monteiro Junior, J. J., & Alba, E. (2020). Methodological evaluation of vegetation indexes in land use and land cover (LULC) classification. Geology, Ecology, and Landscapes, 4, 159–169.

    Article  Google Scholar 

  • Tilt, B., Braun, Y., & He, D. (2009). Social impacts of large dam projects: A comparison of international case studies and implications for best pracise. Journal of Environmental Management, 90, S249–S257.

    Article  Google Scholar 

  • Tovar, C., Seijmonsbergen, A. C., & Duivenvoorden, J. F. (2013). Monitoring land use and land cover change in mountain regions: An example in the Jalca grasslands of the Peruvian Andes. Landscape and Urban Planning, 112, 40–49.

    Article  Google Scholar 

  • Turner, K. G., Anderson, S., Gonzales-Chang, M., Costanza, R., Courville, S., Dalgaard, T., Dominati, E., Kubiszewski, I., Ogilvy, S., Porfirio, L., & Ratna, N. (2016). A review of methods, data, and models to assess changes in the value of ecosystem services from land degradation and restoration. Ecological Modelling, 319, 190–207.

    Article  Google Scholar 

  • Villa Arenas, O. J., Agudelo, C. R. G., Osorno, L. M. A., Gómez, M. N. G., & Alzate, M. I. G. (2009). Transformaciones socio-geograficas del municipio del Peñol con la construcción del embalse Peñol-Guatapé. XII Encuentro de Geógrafos de América Latina “Caminando por América Latina en Transformación”, 1–14.

  • Wang, J., Rich, P. M., Price, K. P., & Kettle, W. D. (2004). Relations between NDVI and tree productivity in the central Great Plains. International Journal of Remote Sensing, 25(16), 3127–3138.

    Article  Google Scholar 

  • Wang, L., Yan, J., Mu, L., & Huang, L. (2020). in: Knowledge Discovery from Remote Sensing images: A Review, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10 (5), e1371.

  • Weng, Q. (2010). A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing, 22(10), 1999–2014.

    Google Scholar 

  • Wulder, M. A., Masek, J. G., Cohen, W. B., Loveland, T. R., & Woodcock, C. E. (2012). Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment, 122, 2–10.

    Article  Google Scholar 

  • Wulder, M. A., White, J. C., Loveland, T. R. C., Woodcock, E. C., Belward, A. S., Cohen, W. B., Fosnight, E. A., Shaw, J., Masek, J. G., & Roy, D. P. (2016). The global Landsat archive: Status, consolidation, and direction. Remote Sensing of Environment, 185, 271–283.

    Article  Google Scholar 

  • Yang, X., & Liu, Z. (2005). watershed. International Journal of Remote Sensing, 26(23), 5275–5296.

    Article  Google Scholar 

  • Yang, Y., Feng, Z., Huang, H. Q., & Lin, Y. (2008). Climate- induced changes in crop water balance during 1960–2001 in Northwest China. Agriculture, Ecosystems & Environment, 127, 107–118.

    Article  Google Scholar 

  • Yıldırım, Ü., Erdoğan, S., & Uysal, M. (2010). Changes in the coastline and water level of the Akşehir and Eber Lakes between 1975 and 2009. Water Resources Management, 25(3), 941–962.

    Article  Google Scholar 

  • Yuan, F., Sawaya, K. E., Loeffelholz, B., & Bauer, M. E. (2005). Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing. Remote Sensing of Environment, 98(2), 317–328.

    Article  Google Scholar 

  • Zaitunah, A., Samsuri, S., Ahmad, A. G., & Safitri, R. A., (2018). Normalized difference vegetation index (ndvi) analysis for land cover types using landsat 8 oli in besitang watershed, Indonesia. IOP Conference Series: Earth and Environmental Science, 126, 012112.

  • Zhang, J., Zhengjun, L., & Xiaoxia, S. (2009). Changing landscape in the Three Gorges Reservoir Area of Yangtze River from 1977 to 2005: Land use/land cover, vegetation cover changes estimated using multi-source satellite data. International Journal of Applied Earth Observation and Geoinformation, 11(6), 403–412.

    Article  CAS  Google Scholar 

  • Zhang, F., Tashpolat, T., Kung, H., & Ding, J. L. (2010). The change of land use/cover and characteristics of landscape pattern in arid areas oasis: An application in Jinghe. Xinjiang. Geo-Spatial Inf. Sci., 13, 174–185.

    Article  Google Scholar 

  • Zhao, Q., Liu, S., Deng, L., Dong, S., Yang, Z., & Liu, Q. (2013). Determining the influencing distance of dam construction and reservoir impoundment on land use: A case study of Manwan Dam, Lancang River. Ecological Engineering, 53, 235–242.

    Article  Google Scholar 

  • Zhou, Q., Li, B., & Kurban, A. (2007). Trajectory analysis of land cover change in arid environment of China. International Journal of Remote Sensing, 29(4), 1093–1107.

    Article  Google Scholar 

  • Zhou, Y., Dong, J., Xiao, X., Xiao, T., Yang, Z., Zhao, G., Zou, Z., & Qin, Y. (2017). Open surface water mapping algorithms: A comparison of water-related spectral indices and sensors. Water, 9(4), 256.

    Article  Google Scholar 

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Acknowledgements

PGP wishes to thank CONACyT (Mexico) for the research fellowship. The authors wish to extend their gratitude to IPN (EDI, COFAA), México, for their support. MPJ thank the support by Sistema Nacional de Investigadores (SNI), CONACyT, México SNI-CONACyT, México. We also thank IDEAM for rainfall data and USGS for satellite data. This work is 139th partial contribution from the Earth System Science Group (ESSG), Mexico & Chennai India (Participating members: PGP, MPJ, GM, and CL).

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Godwyn-Paulson, P., Jonathan, M.P., Pineda, A.L. et al. Four-decade (1977–2017) landscape tale of tourist reservoir hotspot El Piñol-Guatapé, Colombia. Environ Monit Assess 195, 796 (2023). https://doi.org/10.1007/s10661-023-11369-5

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  • DOI: https://doi.org/10.1007/s10661-023-11369-5

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