Dr. Quan Chen Profile

Dr. Quan Chen

at Institute of Remote Sensing and Digital Earth

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Publications (6)

SPIE Journal Paper | 11 December 2021 Open Access

Variability of the snowline altitude in the eastern Tibetan Plateau from 1995 to 2016 using Google Earth Engine

Chang Liu, Zhen Li, Ping Zhang, Bangsen Tian, Jianmin Zhou, Quan Chen

JARS, Vol. 15, Issue 04, 048505, (December 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.048505

KEYWORDS: Climatology, Earth observing sensors, Landsat, Near infrared, Clouds, Satellites, Satellite imaging, Climate change, Environmental sensing, Meteorology

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Proceedings Article | 8 November 2014 Paper

Change detection of polarimetric SAR images based on the KummerU Distribution

Quan Chen, Pengfei Zou, Zhen Li, Ping Zhang

Proceedings Volume 9260, 92603V (2014) https://doi.org/10.1117/12.2069198

KEYWORDS: Image segmentation, Polarimetry, Synthetic aperture radar, Image resolution, Floods, Image processing algorithms and systems, Scattering, Image classification, Sensors, Statistical analysis

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Proceedings Article | 4 November 2010 Paper

The preliminary analysis of S-band scatterometer data of three types of ground objects

Quan Chen, Zhen Li, Jianmin Zhou, Bangsen Tian

Proceedings Volume 7841, 78410D (2010) https://doi.org/10.1117/12.873206

KEYWORDS: S band, Backscatter, Polarization, Soil science, Scattering, Vegetation, Synthetic aperture radar, Sensors, Antennas, Quantitative analysis

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SPIE Journal Paper | 1 October 2009

Sub-canopy soil moisture inversion using repeat pass Shuttle Imaging Radar C polarimetric Synthetic Aperture Radar interferometric data

Xinwu Li, Huadong Guo, Zhen Li, Huanyin Yue, Quan Chen

JARS, Vol. 3, Issue 01, 033553, (October 2009) https://doi.org/10.1117/12.10.1117/1.3256001

KEYWORDS: Soil science, Polarimetry, Scattering, Synthetic aperture radar, Interferometry, Vegetation, Backscatter, L band, Data modeling, Climatology

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SPIE Journal Paper | 1 June 2009 Open Access

Errata: Analysis of synthetic aperture range image characteristics for seismic disasters in the Wenchuan earthquake

Zhen Li, Quan Chen, Jianmin Zhou, Bangsen Tian

JARS, Vol. 3, Issue 01, 030101, (June 2009) https://doi.org/10.1117/12.10.1117/1.3170899

KEYWORDS: Earthquakes, Lithium, Digital imaging, Earth sciences, Current controlled current source

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SPIE Journal Paper | 1 May 2009

Analysis of synthetic aperture radar image characteristics for seismic disasters in the Wenchuan earthquake

Zhen Li, Quan Chen, Jianmin Zhou, Bangsen Tian

JARS, Vol. 3, Issue 01, 031685, (May 2009) https://doi.org/10.1117/12.10.1117/1.3153906

KEYWORDS: Landslides, Synthetic aperture radar, Earthquakes, Image resolution, Polarimetry, Polarization, X band, Image analysis, Interferometry, Coherence (optics)

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More than 69,000 people died following the magnitude 8.0 Wenchuan earthquake of May 12, 2008. Bad weather hampered relief efforts, and in some cases rescuers had to trek into the disaster area on foot and search for trapped survivors by hand as roads were blocked by debris. Due to travel difficulties, spatial information needs to be extracted in the disaster area by remote sensing techniques. The main problem focused on in this paper is how to use the all-weather and all-day/night capability of Synthetic Aperture Radar (SAR) to extract primary seismic disaster information after the earthquake. Using air- and space-borne SAR images with different bands, polarizations and incidence angles, including multi-polarization X-band air-borne data, C-band polarimetric Radarsat-2, X-band TerraSAR-X with high resolution, multi-polarization X-band COSMO-SkyMed and L-band multi-polarization ALOS-PalSAR space-borne data, we perform image characteristics analysis of landslides. Obvious differences can be recognized between old and new landsides in SAR images with different bands. Multi-polarization SAR can play an important role in landslide discrimination. Two SAR images at different incidence angles do not provide much more information if the difference between the two angles is small. Landslide recognition accuracy strongly depends on the direction of view, especially for large incidence angles, in which case the characteristic difference for landslide recognition is great. There are different polarization responses between a landslide and its surroundings that can be used to recognize the landslide. Interferometric SAR images, on the other hand, do not provide good recognition capability due to temporal decorrelation and resolution. Meanwhile, information extraction of barrier lakes using different resolution and incidence angle SAR images is analyzed in this paper; small incidence angles and high resolutions improve the object recognition and information extraction of barrier lakes.

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