Next Article in Journal
Validation of the EGSIEM GRACE Gravity Fields Using GNSS Coordinate Timeseries and In-Situ Ocean Bottom Pressure Records
Previous Article in Journal
A Methodological Framework to Retrospectively Obtain Downscaled Precipitation Estimates over the Tibetan Plateau
Previous Article in Special Issue
Estimation of AOD Under Uncertainty: An Approach for Hyperspectral Airborne Data
Article Menu
Issue 12 (December) cover image

Export Article

Open AccessEditorial
Remote Sens. 2018, 10(12), 1975;

Introduction to the Special Issue “Uncertainty in Remote Sensing Image Analysis”

Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, 7531 LG Enschede, The Netherlands
State Key Laboratory of Resources & Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
University of Chinese Academy of Sciences, Beijing 100049, China
Department of Statistics, University of Pretoria, Pretoria 0002, South Africa
Author to whom correspondence should be addressed.
Received: 4 December 2018 / Accepted: 5 December 2018 / Published: 7 December 2018
(This article belongs to the Special Issue Uncertainty in Remote Sensing Image Analysis)
Full-Text   |   PDF [171 KB, uploaded 14 December 2018]
Note: In lieu of an abstract, this is an excerpt from the first page.


Images obtained from satellites are of an increasing resolution. [...] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Stein, A.; Ge, Y.; Fabris-Rotelli, I. Introduction to the Special Issue “Uncertainty in Remote Sensing Image Analysis”. Remote Sens. 2018, 10, 1975.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top