Special Issue "Remote Sensing of Land Surface Properties, Patterns and Processes"

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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (30 April 2008)

Special Issue Editors

Guest Editor
Prof. Dr. Qihao Weng
Center for Urban and Environmental Change, Department of Geography, Geology, and Anthropology, Indiana State University, Terre Haute, IN 47809, USA
Website: http://isu.indstate.edu/qweng/
E-Mail: qweng@indstate.edu
Phone: +1 812 237 2255
Fax: +1 812 237 8029
Interests: urban remote sensing; thermal remote sensing; digital image processing; remote sensing and GIS integration

Guest Editor
Prof. Dr. Dale A. Quattrochi
Earth Science Office, ZP11, Marshall Space Flight Center, NASA, Huntsville, AL 35812 USA
E-Mail: dale.quattrochi@nasa.gov
Phone: +1 256 961 7887
Fax: +1 256 961 7788
Interests: thermal remote sensing; urban heat island analysis; geospatial techniques and remote sensing; land use/land cover change

Guest Editor
Dr. George Xian
SAIC, USGS Center for Earth Resources Observation and Science, Sioux Falls, SD 57198, USA
E-Mail: xian@usgs.gov
Phone: +1 605 594 2599
Interests: remote sensing of land cover and urban; surface thermal properties; regional climate change

Special Issue Information

Dear Colleagues,

In this special issue, we wish to explore the current state in using remote sensing technology to understand land surface properties, patterns, and processes. In particular, studies that employ remotely sensed data to derive quantitative measurements of land surface properties, to characterize and quantify land surface ecological and geographical patterns, and to analyze and model land surface processes are encouraged. The virtues and importance of remote sensing data from various ground, aircraft, and satellite platforms will be assessed. Moreover, we wish to explore how improved sensor and analytical techniques can be employed to better define, characterize, quantify, and model land surface forms, patterns, and processes. The topics may include, but are not limited to, the following:

  • Retrieval and analysis of land surface biophysical parameters, temperatures, surface emissivity, surface roughness and anisotropy.
  • Analysis of remote sensed data derived parameters such as land surface temperature, emissivity, vegetation cover, soil type, soil moisture, and surface water content for estimation of surface energy fluxes and investigation of land-atmosphere interactions.
  • Utilization of remote sensing data of various platforms for landscape characterization (e.g., land cover/land use attributes, impervious surfaces, and habitats).
  • Analysis of land surface patterns and their relations to land surface processes and properties.
  • Application of GIS, geospatial statistics, visualization, and landscape ecological approaches to remote sensing of land surfaces.
  • Study of the improvements in spatial, spectral, radiometric, and temporal resolutions of remote sensing data for analysis of land surface properties, patterns, and processes.
  • Investigation of impacts of spatial and temporal scale on analysis of remote sensing data.

Dr. Dale A. Quattrochi
Prof. Dr. Qihao Weng
Dr. George Xian
Guest Editors

Keywords

  • remote sensing of land surface properties
  • patterns and processes

Published Papers (16 papers)

Sensors 2009, 9(3), 1644-1661; doi:10.3390/s90301644
Received: 11 December 2008; in revised form: 25 February 2009 / Accepted: 2 March 2009 / Published: 10 March 2009
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Sensors 2009, 9(1), 22-45; doi:10.3390/s90100022
Received: 4 December 2008; in revised form: 17 December 2008 / Accepted: 23 December 2008 / Published: 5 January 2009
Show/Hide Abstract | Download PDF Full-text (271 KB) | Download XML Full-text

Sensors 2008, 8(12), 8067-8085; doi:10.3390/s8128067
Received: 9 October 2008; in revised form: 5 November 2008 / Accepted: 17 November 2008 / Published: 8 December 2008
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Sensors 2008, 8(12), 7792-7808; doi:10.3390/s8127792
Received: 7 May 2008; in revised form: 19 November 2008 / Accepted: 24 November 2008 / Published: 3 December 2008
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Sensors 2008, 8(11), 6999-7011; doi:10.3390/s8116999
Received: 18 August 2008; in revised form: 29 September 2008 / Accepted: 30 October 2008 / Published: 5 November 2008
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Sensors 2008, 8(10), 6188-6202; doi:10.3390/s8106188
Received: 19 August 2008; in revised form: 21 September 2008 / Accepted: 19 September 2008 / Published: 1 October 2008
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Sensors 2008, 8(8), 5037-5054; doi:10.3390/s8085037
Received: 5 August 2008; in revised form: 21 August 2008 / Accepted: 22 August 2008 / Published: 25 August 2008
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Sensors 2008, 8(8), 5055-5068; doi:10.3390/s8085055
Received: 25 July 2008; in revised form: 22 August 2008 / Accepted: 22 August 2008 / Published: 25 August 2008
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Sensors 2008, 8(8), 4915-4947; doi:10.3390/s8084915
Received: 3 July 2008; in revised form: 22 July 2008 / Accepted: 25 August 2008 / Published: 22 August 2008
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Sensors 2008, 8(8), 4505-4528; doi:10.3390/s8084505
Received: 1 July 2008; in revised form: 28 July 2008 / Accepted: 28 July 2008 / Published: 4 August 2008
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Sensors 2008, 8(5), 3557-3585; doi:10.3390/s8053557
Received: 29 April 2008; Accepted: 23 May 2008 / Published: 26 May 2008
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Sensors 2008, 8(4), 2617-2627; doi:10.3390/s8042617
Received: 3 December 2007; Accepted: 8 April 2008 / Published: 14 April 2008
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Sensors 2008, 8(4), 2695-2706; doi:10.3390/s8042695
Received: 2 March 2008; Accepted: 8 April 2008 / Published: 6 April 2008
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Sensors 2007, 7(12), 3416-3427; doi:10.3390/s7123416
Received: 30 November 2007; Accepted: 18 December 2007 / Published: 20 December 2007
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Sensors 2007, 7(9), 1962-1979; doi:10.3390/s7091962
Received: 30 August 2007; Accepted: 13 September 2007 / Published: 21 September 2007
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Sensors 2007, 7(8), 1559-1577; doi:10.3390/s7081559
Received: 20 July 2007; Accepted: 14 August 2007 / Published: 17 August 2007
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Last update: 4 March 2014

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