Land covers map using Sentinel-2 and Landsat-8 satellite images of the municipality of Covarachía - Colombia
Mapa de coberturas del suelo utilizando imágenes satelitales Sentinel-2 y Landsat-8 del municipio de Covarachía – Colombia
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Abstract
Agriculture is one of the fields in which the use
of soils is of importance, since having adequate
information makes it possible to demonstrate
the management of agroecosystems that is of
importance in mitigating climatic and environmental
impacts (Rega et al., 2020). Given the
different applications that need updated information
on land cover, it is difficult to have solutions
to all the needs due to the great variety of
users (Szantoi et al., 2020). In this article, Sentinel-
2 and Landsat-8 satellite images are used to
which supervised and unsupervised classifying
algorithms are applied to generate a map of the
land cover of the municipality of Covarachía
Colombia.
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References (SEE)
Abbas, A., Minallh, N., Ahmad, N., Rehman, S., y Khan, M. (2016). K-Means and ISODATA Clustering Algorithms for Landcover Classification Using Remote Sensing. ResearchGate, 48, 315-318. https://www.researchgate.net/publication/303971825_K-Means_and_ISODATA_Clustering_Algorithms_for_Landcover_Classification_Using_Remote_Sensing
Fisterra. (2020). Medidas de concordancia: El índice Kappa. https://www.fisterra.com/formacion/metodologia-investigacion/medidas-concordancia-indice-kappa/
García, D., Camacho, M., y Paegelow, M. (2019). Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps. Computers, Environment and Urban Systems, 78, 101389. https://doi.org/10.1016/j.compenvurbsys.2019.101389
Gisadminbeers. (26 de marzo de 2017). Combinaciones RGB de imágenes satélite Landsat y Sentinel. Gis&Beers. http://www.gisandbeers.com/combinacion-de-imagenes-satelite-landsat-sentinel-rgb/
He, Y., Lee, E., y Warner, T. A. (2017). A time series of annual land use and land cover maps of China from 1982 to 2013 generated using AVHRR GIMMS NDVI3g data. Remote Sensing of Environment, 199, 201-217. https://doi.org/10.1016/j.rse.2017.07.010
Kiswanto, Tsuyuki, S., Mardiany, y Sumaryono. (2018). Completing yearly land cover maps for accurately describing annual changes of tropical landscapes. Global Ecology and Conservation, 13. https://doi.org/10.1016/j.gecco.2018.e00384
NV5 Geospatial. (2020). K-Means. https://www.harrisgeospatial.com/docs/KMeansClassification.html
Li, X., Ling, F., Foody, G., Ge, Y., Zhang, Y., y Du, Y. (2017). Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps. Remote Sensing of Environment, 196, 293-311. https://doi.org/10.1016/j.rse.2017.05.011
Misra, M., Kumar, D., y Shekhar, S. (2020). Assessing Machine Learning Based Supervised Classifiers For Built-Up Impervious Surface Area Extraction From Sentinel-2 Images. Urban Forestry & Urban Greening, 53. https://doi.org/10.1016/j.ufug.2020.126714
Nuestro municipio - Alcaldía Municipal de Covarachía en Boyacá. (2020). http://www.covarachia-boyaca.gov.co/municipio/nuestro-municipio
Pérez, A., Udías, F., y Rembold, F. (2020). Integrating Multiple Land Cover Maps through a Multi-Criteria Analysis to Improve Agricultural Monitoring in Africa. International Journal of Applied Earth Observation and Geoinformation, 88. https://doi.org/10.1016/j.jag.2020.102064
Rega, C., Short, C., Pérez, M., y Paracchini, M. (2020). A classification of European agricultural land using an energy-based intensity indicator and detailed crop description. Landscape and Urban Planning, 198. https://doi.org/10.1016/j.landurbplan.2020.103793
Renza, D., Martinez, E., Molina, I., y Ballesteros, D. (2017). Unsupervised change detection in a particular vegetation land cover type using spectral angle mapper. Advances in Space Research, 59(8), 2019-2031. https://doi.org/10.1016/j.asr.2017.01.027
Saah, D., Tenneson, K., Poortinga, A., Nguyen, Q., Chishtie, F., … Ganz, D. (2020). Primitives as building blocks for constructing land cover maps. International Journal of Applied Earth Observation and Geoinformation, 85. https://doi.org/10.1016/j.jag.2019.101979
Satélite Sentinel-2. Flota de satélites europeos de vigilancia medioambiental del programa Copernicus
Satélite Landsat-8. Satélite estadounidense para estudios cartográficos y de características de temperatura de la superficie
Stéphane, D., Laurence, D., Raffaele, G., Valérie, A., y Eloise, R. Land Cover Maps of Antananarivo (Capital of Madagascar) Produced by Processing Multisource Satellite Imagery and Geospatial Reference Data. Data in Brief, 31. https://doi.org/10.1016/j.dib.2020.105952
Humboldt State University. (2019). Supervised Classification. http://gsp.humboldt.edu/olm/Courses/GSP_216/lessons/Classification/supervised.html
Szantoi, Z., Geller, G., Tsendbazar, N., See, L., Griffiths, P., Fritz, S., Gong, P., Herold, M., Mora, B., y Obregón, A. (2020). Addressing the need for improved land cover map products for policy support. Environmental Science & Policy, 112, 28-35. https://doi.org/10.1016/j.envsci.2020.04.005
Vilar, L., Garrido, J., Echavarría, P., Martínez, J., y Martín, M. (2019). Comparative analysis of CORINE and climate change initiative land cover maps in Europe: Implications for wildfire occurrence estimation at regional and local scales. International Journal of Applied Earth Observation and Geoinformation, 78, 102-117. https://doi.org/10.1016/j.jag.2019.01.019
