PE&RS Submissions

Call for Papers: Remote Sensing of Soils for Environmental Assessment and Management

Photogrammetric Engineering & Remote Sensing
April 2014 Special Issue Call for Papers

Remote Sensing of Soils for Environmental Assessment and Management

Guest Editors

Remotely sensed data, initially in the form of analog, unrectified panchromatic aerial photographs, have been used to support soil investigations since the early 20th century.  These data provided the synoptic view of landscapes critical for integrating complex patterns of soil forming factors and mapping soil properties of interest that vary in both space and time. The use of digital imaging and associated geospatial information for characterizing and mapping soils is expanding rapidly with the advent of new sensors, aircraft and satellite platforms, orthorectification techniques, mathematical models for integrating disparate spatial data sources, and visualization of soil properties using conventional and web-enabled technologies.

Proximal sensing of soil using diffuse reflectance spectroscopy to predict soil properties has increased our ability to estimate the spatial extent and variability of selected soil properties under diverse land management conditions. These advances have allowed the creation and expansion of digital spectral libraries and use of complex statistical models for characterizing soils while reducing the considerable expense of traditional field soil survey operations.

Fusion of spectra from disparate sensors with terrain derivatives, soil geographic data, and field observations provides a powerful toolset for understanding soil systems and mapping both static and dynamic properties in complex landscapes and under intensive land use practices.  Advances in web-enabled technologies have stimulated the accession, use, and visualization of soil properties readily available in sophisticated soil geographic databases.  Application of these technologies is critical for agronomic and environmental assessments in rural and urban areas from local to global scales.

The next generation of imaging systems integrated with complex analytical methods will revolutionize the way we inventory and manage soil resources across a wide range of scientific disciplines and application domains. This special issue will highlight those systems and methods for the direct benefit of environmental professionals and students who focus on imaging and geospatial information for improved understanding, management, and monitoring of soil resources.

This Special Issue solicits articles on the following topics:
•    Imaging and geospatial information for characterizing dynamic soil properties
•    Airborne Topographic LiDAR for mapping terrain derivatives and landscape conditions
•    Multi- and Hyper-spectral image processing and analysis for soil survey
•    Radar remote sensing of soils (GPR, InSAR)
•    Remote and proximal sensing of soil properties for digital soil mapping
•    Unmanned Aerial Systems (UAS) for soil characterization and monitoring
•    Geospatial data fusion for soil inventory, mapping, and resource management
•    Web-enabled soil assessment and monitoring

Authors must prepare manuscripts according to the Photogrammetric Engineering & Remote Sensing (PE&RS) Instructions to Authors, published in each issue of PE&RS.  All submissions will be peer-reviewed in accordance with PE&RS policy. Because of page limits, not all submissions recommended for acceptance by the review panel may be included in the Special Issue. Under this circumstance, the guest editors will select the most relevant papers for inclusion in the Special Issue. Papers that are reviewed favorably, but will not fit within the Special Issue, can be revised and submitted for review as a new paper to the PE&RS Editor-in-Chief for possible publication in a future regular issue of PE&RS.

Important Dates:
Manuscripts Due:    01 June 2013
Decision to Authors:    01 September 2013
Final Papers Due:    01 October 2013
Publication:        01 April 2014

Please e-mail your manuscript directly to:
Dr. Stephen D. DeGloria
sdd4@cornell.edu
607-227-5825

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