Software to correct lost data in the Landsat 7 images
Main Article Content
Abstract
The use of satellite platforms have become an essential tool to follow phenomenon related to the life in Earth. The Landsat 7 satellite takes images of Cuba every 16 days, which are free to download since October 2008. When one of Landsat’s sensors failed in 2003, invalid data strips (gaps) appeared in the images. The Phase 2 Gap-Fill Algorithm is implemented in the software to correct lost data in the Landsat 7 scenes. It has a direct impact on cartographic studies and to follow environmental phenomenon in Cuba.
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How to Cite
Rodríguez Ramos N., Bell-lloch García I., & Galano Duverger S. (2020). Software to correct lost data in the Landsat 7 images. Cub@: Medio Ambiente Y Desarrollo, 9(17). Retrieved from https://cmad.ama.cu/index.php/cmad/article/view/135
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Original Article
References
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Curlis, C., Hansen, D. and Simpson, B. http://gis.esri.com/library/userconf/proc07/papers/papers/pap_1854.pdf. [Online] 2005
Howard, S.M. and Lacasse, J. 2004. Evaluation of gap-filled landsat SLC-off imagery for wildland fire burn severity mapping. Photogrammetric Engineering and Remote Sensing, Vol. 70, pp. 877-880.
Masek, J. G. http://gls.umd.edu/documents/MDGLS_gapfill.pdf. [Online] 2007
Menke, C. Development of an enhanced gap-filling algorithm for Landsat 7 SLC-off data. Göttingen : s.n., Agosto 31, 2007.
USGS. http://landsat.usgs.gov/documents/L7SLCGapFilledMethod.pdf. [Online] 10 Julio 2004.