참고문헌
- Almeer MH, Cloud Hadoop Map Reduce for Remote Sensing Image Analysis, Journal of Emerging Trends in Computing and Information Sciences, Vol. 3, No. 4, pp. 637-644, 2012.
- The Apache Software Foundation, "Apache Hadoop," Apache Hadoop, 2006, https://hadoop.apache.org/, accessed 22 Apr 2022.
- Chen Z, Chen N and Yang C, Di L, Cloud Computing Enabled Web Processing Service for Earth Observation Data Processing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5, No. 6, pp. 1637-1649, 2012. https://doi.org/10.1109/JSTARS.2012.2205372
- Dean J and Ghemawat S, MapReduce: Simplified Data Processing on Large Clusters, Communications of the ACM, Vol. 51, No. 1, pp. 107-113, 2008. https://doi.org/10.1145/1327452.1327492
- Ghemawat S, Gobioff H and Leung ST, The Google File System, SIGOPS Operating Systems Review, Vol. 37, No. 5, pp. 29-43, 2003. https://doi.org/10.1145/1165389.945450
- Hee-Jeong H., Hyun Y., Jae-Moo H. and Young-Je P., "Systemic Design and Development of the Second Geostationary Ocean Color Ground Segment," KIISE Transactions on Computing Practices, Vol. 25, No. 10, pp. 477-484, 2019. https://doi.org/10.5626/KTCP.2019.25.10.477
- Huang W, Meng L, Zhang D and Zhang W, In-Memory Parallel Processing of Massive Remotely Sensed Data Using an Apache Spark on Hadoop YARN Model, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 1, pp. 3-19, 2016. https://doi.org/10.1109/JSTARS.2016.2547020
- Hunt P, Konar M, Junqueira FP and Reed B, ZooKeeper: Wait-Free Coordination for Internet-Scale Systems, USENIX Annual Technical Conference, pp. 145-158, 2020.
- Huo Y, Blaber J, Damon SM, Boyd BD, Bao S, Parvathaneni P, Noguera CB, Chaganti S, Nath V, Greer JM, Lyu I, French WR, Newton AT, Rogers BP and Landman BA, Towards Portable LargeScale Image Processing with High-Performance Computing, Journal of Digital Imaging, Vol. 31, No. 3, pp. 304-314, 2018. https://doi.org/10.1007/s10278-018-0080-0
- Knoth C and Nust D, Reproducibility and Practical Adoption of Geobia with Open-Source Software in Docker Containers, Remote Sensing, Vol. 9, No. 3, p. 290, 2017.
- Statistics Korea, "The land area(G20)," Korean Statistical Information Service, 30 Sep 2021, https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_2KAA101_G20&conn_path=I2, accessed 21 July 2022.
- Kreps J, Narkhede N and Rao J, Kafka: A Distributed Messaging System for Log Processing, Proceedings of the NetDB, Vol. 11, pp. 1-7, 2011.
- Liu X, Iftikhar N and Xie X, Survey of Real-Time Processing Systems for Big Data, Proceedings of the 18th International Database Engineering & Applications Symposium, pp. 356-361, 2014.
- Merkel D, Docker: Lightweight Linux Containers for Consistent Development and Deployment, Linux Journal, LLC 239, Article 2, 2014.
- Nibedita Mohanta, "How Many Satellites are Orbiting the Earch in 2021?," Geospatial World, 28 May 2021, https://www.geospatialworld.net/blogs/howmany-satellites-are-orbiting-the-earth-in-2021/, accessed 30 Jun 2022.
- OGC, OpenGIS Web Processing Service Specification (Version 1.0.0) OGC Standard No. 05-007r7, OGC, 2007.
- Planet Labs PBC, "Planet," Planet, http://planet.com, accessed 22 Apr 2022
- Rathore MM, Son H, Ahmad A, Paul A and Jeon G, Real-Time Big Data Stream Processing Using GPU with Spark Over Hadoop Ecosystem, International Journal of Parallel Programming, Vol. 46, No. 3, pp. 630-646, 2018. https://doi.org/10.1007/s10766-017-0513-2
- S. N. K. B. Amit, S. Shiraishi, T. Inoshita and Y. Aoki, "Analysis of Satellite Images for Disaster Detection," 2016 IEEE International Geoscience and Remote Sensing Symposium(IGARSS), pp. 5189-5192, 2016, doi: 10.1109/IGARSS.2016.7730352.
- S. P. R and R. U, "A Survey on Agriculture Monitoring with Satellite and Its Benefits," 2022 8th International Conference on Advanced Computing and Communication Systems(ICACCS), pp. 1854-1858, 2022, doi: 10.1109/ICACCS54159.2022.9785323.
- SERGEY S., TAMARA D., ANNA K. and EIDELSTEINC L., "Engaging the Public to Fight the Consequences of Terrorism and Disasters," IOS Press, 120, pp. 91-103, 2015.
- Sharma T, Shokeen V and Mathur S, Distributed Processing of Satellite Images on Hadoop to Generate Normalized Difference Vegetation Index Images, Proceedings of 2017 International Conference on Computing, Communication, pp. 1-5, 2017.
- Vavilapalli VK, et. al., Apache Hadoop Yarn: Yet Another Resource Negotiator, Proceedings of the 4th Annual Symposium on Cloud Computing(SOCC '13), Article 5, pp. 1-16, 2013.
- Zaharia M, et. al., Spark: Cluster Computing with Working Sets. Proceedings of 2nd USENIX Conf. Hot Topics Cloud Comput., pp. 10-10, 2010.
- Zhang Y, Gao Q, Gao L and Wang C, iMapReduce: A Distributed Computing Framework for Iterative Computation, Journal of Grid Computing, Vol. 10, No. 1, pp. 47-68, 2012. https://doi.org/10.1007/s10723-012-9204-9