Next Article in Journal
Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection
Previous Article in Journal
A Flexible Algorithm for Detecting Challenging Moving Objects in Real-Time within IR Video Sequences
Article Menu
Issue 11 (November) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(11), 1132; https://doi.org/10.3390/rs9111132

Assessment of WorldView-3 Data for Lithological Mapping

1
School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China
2
Oil and Gas Survey, China Geological Survey, Beijing 100083, China
3
China Aero Geophysical Survey and Remote Sensing Center (AGRS), Beijing 100083, China
*
Author to whom correspondence should be addressed.
Received: 13 September 2017 / Revised: 11 October 2017 / Accepted: 2 November 2017 / Published: 6 November 2017
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
Full-Text   |   PDF [6398 KB, uploaded 6 November 2017]   |  

Abstract

The WorldView-3 (WV-3) satellite is a new sensor with high spectral resolution, which equips eight multispectral bands in the visible and near-infrared (VNIR) and additional eight bands in the shortwave infrared (SWIR). In order to meet the requirements of large-scale geological mapping, this paper assessed WV-3 data for lithological mapping in comparison with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Operational Land Imager (OLI/Landsat-8) data. The study area is located in the Pobei area of the Xinjiang Uygur Autonomous Region, where bedrock outcrops are widely distributed. The whole experiment was divided into six steps: data pre-processing, visual interpretation of various lithological units, samples procedure, lithological mapping by a support vector machine algorithm (SVM), accuracy evaluation, and assessment. The results showed that the classification accuracy of WV-3 data was 87%, which kept 17% higher than that of ASTER data, 14% higher than that of OLI/Landsat-8 data, indicated that WV-3 data contained more diagnostic absorption features mainly thanks to its SWIR bands, and benefited by its high spatial resolution, as well. However, it also confirmed that there were some considerable flaws, such as the confusing identification of biotite-quartz schist. Overall, the WV-3 data is still the most promising data for geological applications currently. View Full-Text
Keywords: WorldView-3; lithological mapping; spectral and spatial assessment; SVM algorithm WorldView-3; lithological mapping; spectral and spatial assessment; SVM algorithm
Figures

Graphical abstract

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).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ye, B.; Tian, S.; Ge, J.; Sun, Y. Assessment of WorldView-3 Data for Lithological Mapping. Remote Sens. 2017, 9, 1132.

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

1

Comments

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