Enhanced Remote Sensing Monitoring Through a Bimodal Cloud Infrastructure: A Dual-State Cloud Service Approach
Author:
Affiliation:
1. Institute of Advanced Studies, China University of Geosciences (Wuhan), Wuhan, China
2. Second Surveying and Mapping Institute of Hunan Province, Changsha, China
Funder
Natural Science Foundation of Hunan Province
Research Foundation of the Department of Natural Resources of Hunan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10577174.pdf?arnumber=10577174
Reference38 articles.
1. Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project
2. Turning remote sensing to cloud services:Technical research and experiment
3. Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review
4. An Efficient and Scalable Framework for Processing Remotely Sensed Big Data in Cloud Computing Environments
5. Using Remote Sensing Images and Cloud Services on Aws to Improve Land Use and Cover Monitoring
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