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2021 | OriginalPaper | Chapter

Data Ingestion and Analysis Framework for Geoscience Data

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Authors: Niti Shah, Smita Agrawal, Parita Oza

Publisher: Springer Singapore

Published in: Recent Innovations in Computing

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Abstract

Big earth data analytics is an emerging field since environmental sciences are probably going to profit by its different systems supporting the handling of the enormous measure of earth observation data, gained and produced through perceptions. It additionally benefits by giving enormous stockpiling and registering capacities. Be that as it may, big earth data analytics requires explicitly planned instruments to show specificities as far as significance of the geospatial data, intricacy of handling, and wide heterogeneity of information models and arrangements [1]. Data ingestion and analysis framework for geoscience data is the study and implementation of extracting data on the system and processing it for change detection and to increase the interoperability with the help of analytical frameworks which aims at facilitating the understanding of the data in a systematic manner. In this paper, we address the challenges and opportunities in the climate data through the climate data toolbox for MATLAB [2] and how it can be beneficial to resolve various climate-change-related analytical difficulties.

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Desai, K., Devulapalli, V., Agrawal, S., Kathiria, P.: Patel, A.: Web crawler: review of different types of web crawler, its issues, applications and research opportunities. Int. J. Adv. Res. Comput. Sci. 8(3) (2017)

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Title

Data Ingestion and Analysis Framework for Geoscience Data

Book

Recent Innovations in Computing

Print ISBN: 978-981-15-8296-7

Electronic ISBN: 978-981-15-8297-4

https://doi.org/10.1007/978-981-15-8297-4

DOI

https://doi.org/10.1007/978-981-15-8297-4_65

Authors:

Niti Shah
Smita Agrawal
Parita Oza

Publisher

Springer Singapore

Sequence number

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