A new approach to the massive processing of satellite images

Nina, Wilder; Cruz, Rene; Serrano, Juber; Cuba, Jaime; Huaynacho, Yoni D.; Mamani-Aliaga, Alvaro; Yari, Yessenia; Yanyachi, Pablo R.

doi:10.1109/clei.2015.7359991

Cited by 4 publications

(1 citation statement)

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“…In W. Nina et al [12] an extension of a tool for the processing of images is made using the Hadoop framework, called HIPI, this tool does not have the option for the processing of satellite images and in [12] the proposal is made to process images in TIFF format. This solution is limited to the proposal of a tool for processing, compared to the Tunki project, which performs a periodic analysis of satellite images.…”

Section: Related Workmentioning

confidence: 99%

Tunki Project: Wetland Remote Sensing using Satellite Images and High Performance Computing

Mamani-Aliaga¹,

Yari-Ramos

Yanyachi

et al. 2018

Proceedings of the 16th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Innovation in Educat

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Wetlands are important for the world due to the benefits they offer to humanity. However, there are studies showing their decrease in number in several regions. A form of monitoring of the wetlands is necessary to evaluate their reduction, appearance and / or disappearance. The Tunki project is a project to detect wetlands in a given region using satellite images and high-performance computing. The present work, exposes its architecture and its case study: the wetlands in the Chili river basin of the Arequipa-Peru region. The results show the wetlands detected and the mosaics generated using the satellite images and HPC. Key word-Satellite Images, High Performance Computing, wetlands.

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Section: Related Workmentioning

confidence: 99%