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Open AccessEditorial

Remote Sensing Big Data: Theory, Methods and Applications

by Peng Liu 1, Liping Di 2, Qian Du 3 and Lizhe Wang 1,4,*
1
Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100094, China
2
Department of Geography and Geoinformation Science, Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
3
Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS 39759, USA
4
School of Computer Science, China University of Geosciences, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(5), 711; https://doi.org/10.3390/rs10050711
Received: 2 May 2018 / Revised: 2 May 2018 / Accepted: 3 May 2018 / Published: 4 May 2018
(This article belongs to the Special Issue Remote Sensing Big Data: Theory, Methods and Applications)
Note: In lieu of an abstract, this is an excerpt from the first page.

Nowadays, our ability to acquire remote sensing data has been improved to an unprecedented level.[...] View Full-Text
MDPI and ACS Style

Liu, P.; Di, L.; Du, Q.; Wang, L. Remote Sensing Big Data: Theory, Methods and Applications. Remote Sens. 2018, 10, 711.

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