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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,*
Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100094, China
Department of Geography and Geoinformation Science, Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS 39759, USA
School of Computer Science, China University of Geosciences, Wuhan 430074, China
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(5), 711;
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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