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Remote Sensing for Coupled Natural Systems and Built Environments
Satellite Data Compression
Remote Sensing Systems Engineering
FORTHCOMING SPECIAL SECTIONS:
Remote Sensing for Coupled Natural Systems and Built Environments
Guest Editor:
Ni-Bin Chang
University of Central Florida
4000 Central Florida Boulevard
Orlando, Florida 32816
Tel: +1-407-823-1375
E-mail: nchang@mail.ucf.edu
Call for Papers: Due to global climate change, economic development, and population growth, an integrated, quantitative, systems-level method of remote sensing is essential for tracking down the dynamics of coupled natural and human systems. Such complexity presents a challenge to satellite data applications over hydrological, environmental, and ecological regimes. The advances in remote sensing technologies with both multi- and hyperspectral sensors result in possible enhancement of theory and applications within and across relevant earth science fields. The goals of this special section of the Journal of Applied Remote Sensing (JARS) are to explore new methods and techniques for environmental applications demonstrating the contemporary state-of-the-art accomplishments and future trends in remote sensing for environmental resources management.
Papers are solicited in, but not limited to, the following areas:
• applications of ground-based, space- and airborne hyperspectral, and multispectral remote sensing data for urban sensing and monitoring
• water quality sensing and monitoring related to eutrophication in coastal and terrestrial water systems
• multitemporal land use and land cover changes
• flood and drought management
• air quality monitoring
• landslide and mudslide monitoring
• coastal and river bank erosion control and beach monitoring
• forest fires and potential assessment
• urban heat island and eco-city design
• photosynthesis and CO2 sequestration
• monitoring riparian buffer zones for ecosystem integrity and environmental management
• dust storm impact and desertification
• urban and suburban ecosystem management
• extreme weather events and ecosystem management.
A cover letter indicating that the submission is intended for this special section of JARS should be included with the paper.
Manuscripts due March 31, 2010.
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Satellite Data Compression
Guest Editor:
Bormin Huang
University of Wisconsin-Madison
Space Science and Engineering Center
1225 West Dayton Street
Madison, Wisconsin 53706
Tel: +1-608-265-2231
E-mail: bormin@ssec.wisc.edu
Call for Papers: The advances in remote sensing technologies with higher spectral/spatial resolutions and faster sampling rates result in an enormous increase in data volume. The increase presents a challenge to satellite data transmission over limited bandwidth channels. Data compression techniques provide data reduction for more effective downlink, rebroadcast, and archiving.
The goals of this special section of the Journal of Applied Remote Sensing (JARS) are to explore new methods and techniques for compression, transmission, and storage of contemporary and future satellite remote sensing data.
Papers are solicited in, but not limited to, the following areas:
• Ultraspectral/hyperspectral/multispectral data compression
• lossless/near-lossless/lossy compression
• remote sensing image and video coding
• onboard compression algorithms and chips
• parallel compression algorithms, graphics-processing-unit-based compression
• error-resilient source coding, distributed source coding, joint source-channel coding
• error-correcting channel coding, Turbo codes, low-density parity-check codes
• source coding in multiple-access networks
• compression using wavelets, ridgelets, bandlets, curvelets, or multiwavelets
• vector quantization, fractal compression, multiple description coding, compressive sensing
• interferogram data compression, grating data compression, global-positioning-system/synthetic-aperture-radar/lidar data compression, astronomy data compression
• compression of geographic information systems
• error control, bit-rate allocation, unequal error protection
• compression-based anomaly detection, applications of compression to geophysical product retrieval
• advanced modulations, telemetry and telecommand systems, space link protocols.
A cover letter indicating that the submission is intended for this special section of JARS should be included with the paper.
Manuscripts due November 30, 2009.
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Remote Sensing Systems Engineering
Guest Editors:
Jeffery J. Puschell
Raytheon Space and Airborne Systems
2000 East El Segundo Blvd., EO/E01/C150
El Segundo, California 90245
Tel: +1-310-647-8600
E-mail: puschell@raytheon.com
Philip E. Ardanuy
Raytheon Intelligence and Information Systems
12220 Sunrise Valley Drive
Reston, Virginia 20191-3402
Tel: +1-301-785-7026
E-mail: Philip_E_Ardanuy@raytheon.com
The goals of this special section of the Journal of Applied Remote Sensing (JARS) are to discuss existing and emerging design approaches, engineering methods, tools, and future trends for engineering of remote sensing systems. Remote sensing systems, and systems of systems, are defined by their inputs, outputs, components, and processes, with complex functional and structural inter-relationships.
This topic includes: (1) system architecture and design, (2) requirements, performance metrics, and measures of success, (3) modeling and simulation tools and methods, (4) design and integration of distributed architectures, (5) use of commercial assets in future remote sensing systems, and (6) the end user, effective data/information/system utilization, and optimum return on investment.
To achieve the stated goals, papers are solicited in, but not limited to, the following areas:
• system architecture and design for current and future experimental, research, and operational Earth and space remote sensing programs and experiments
• system engineering metrics and measures of success leading to optimal system design
• methods and approaches for system requirements identification, definition, and allocation for operational programs and experiments
• end-to-end system modeling and simulation methods and tools
• system engineering approaches for optimizing transition of research systems to operational use
• distributed remote sensing system architectures
• evolution of systems to networks
• integrated system of systems: engineering approaches and methods
• remote sensors as secondary payloads onboard satellite communication systems such as Intelsat and Iridium NEXT
• use of commercial visualization software such as Google Earth and Microsoft Virtual Earth in remote sensing systems.
A cover letter indicating that the submission is intended for this special section of JARS should be included with the paper. If the paper was presented at the Remote Sensing Systems Engineering conference held as part of the SPIE International Symposium on Optical Engineering + Applications during August 2008 in San Diego, California, please note this in the cover letter and make reference to it in the manuscript.
Closed for submissions.
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