Normalized difference indices in Landsat 5 TM satellite data

M. Delgadillo-Herrera; M. Arreola-Esquivel; C. Toxqui-Quitl; A. Padilla-Vivanco

doi:10.1117/12.2532322

30 August 2019 Normalized difference indices in Landsat 5 TM satellite data

M. Delgadillo-Herrera, M. Arreola-Esquivel, C. Toxqui-Quitl, A. Padilla-Vivanco

Proceedings Volume 11104, Current Developments in Lens Design and Optical Engineering XX; 111040W (2019) https://doi.org/10.1117/12.2532322
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

Urban growth, deforestation, water resources and thawing of the poles due to globe worming are topics of interest in the research community. Normalize difference indices are utilized in remote sensing to analyzed and classify surface cover types. In this paper research, a multispectral satellite data from Landsat 5 TM is preprocessing, in order to addresses and evaluates accuracy of Normalized difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Automated Water Extraction Index (AWEI) and Normalized Difference Snow Index (NDSI) at different time scenes. A quantitative statistical pixel percentages of build-up, vegetation cover, snow/ice and water body is given in this study for different periods of time.

Citation Download Citation

M. Delgadillo-Herrera, M. Arreola-Esquivel, C. Toxqui-Quitl, and A. Padilla-Vivanco "Normalized difference indices in Landsat 5 TM satellite data", Proc. SPIE 11104, Current Developments in Lens Design and Optical Engineering XX, 111040W (30 August 2019); https://doi.org/10.1117/12.2532322

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