Application of Principal Component Analysis and Unsupervised Classification 
(ISODATA) to Estimate Arctic Sea Ice Extent Using ISRO’s SCATSAT-1 Data

Singh, Nanaoba Khoisnam; Singh, Rajkumar Kamaljit; Maisnam, Mamata; Pallipad, Jayaprasad; Maity, Saroj

doi:10.2312/yes19.21

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Conference Paper

Application of Principal Component Analysis and Unsupervised Classification (ISODATA) to Estimate Arctic Sea Ice Extent Using ISRO’s SCATSAT-1 Data

Authors

Singh, Nanaoba Khoisnam
YES Congress, Deutsches GeoForschungsZentrum;

Singh, Rajkumar Kamaljit
YES Congress, Deutsches GeoForschungsZentrum;

Maisnam, Mamata
YES Congress, Deutsches GeoForschungsZentrum;

Pallipad, Jayaprasad
YES Congress, Deutsches GeoForschungsZentrum;

Maity, Saroj
YES Congress, Deutsches GeoForschungsZentrum;

External Ressource

https://doi.org/10.2312/yes19
(Supplementary material)

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Singh_et_al_YES19.pdf
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Citation

Singh, N. K., Singh, R. K., Maisnam, M., Pallipad, J., Maity, S. (2021): Application of Principal Component Analysis and Unsupervised Classification (ISODATA) to Estimate Arctic Sea Ice Extent Using ISRO’s SCATSAT-1 Data. - In: Rose, T., de Gelder, G., Fernández-Blanco, D., Sieber, M. (Eds.), - Proceedings of the 5th International Young Earth Scientists (YES) Congress “Rocking Earth’s Future”, 5th International Young Earth Scientists (YES) Congress “Rocking Earth’s Future” (Berlin, Germany 2019), 47-52.
https://doi.org/10.2312/yes19.21

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5005005

Abstract

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