Remote Sensing Inversion of PM10 Based on Spark Platform

Zhenyu Yu, Zhibao Wang, Lu Bai, Liangfu Chen, Jinhua Tao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the continuous growth of remote sensing data and the application of fast and effective atmosphere remote sensing inversion algorithm, this paper proposes a PM10 fast inversion approach based on Spark platform which uses Apache Spark as the analytics engine and integrates with the traditional atmospheric remote sensing inversion algorithm. We first store aerosol data which is MYD04_3K from NASA into HDFS. Then the inversion algorithm is combined with Spark via the function interface to realise rapid atmospheric remote sensing inversion. The experimental results based on Spark platform are compared with those obtained from the traditional physical hardware. The results prove that the proposed atmospheric remote sensing inversion method based on Spark has high efficiency.
Original languageEnglish
Title of host publication2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
PublisherIEEE
Pages1685-1688
Number of pages4
ISBN (Electronic)978-1-6654-0369-6, 978-1-6654-0368-9
ISBN (Print)978-1-6654-4762-1
DOIs
Publication statusPublished - 12 Oct 2021
EventIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium - Brussels, Belgium
Duration: 11 Jul 202116 Jul 2021

Conference

ConferenceIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium
Period11/07/2116/07/21

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