BELLINGHAM, Washington, and CARDIFF, UK -- Noteworthy articles in theoretical innovation, interdisciplinary applications, and photo-optical instrumentation design published in 2015 in the Journal of Applied Remote Sensing have been honored with best paper awards. The winning papers were selected by the journal's editorial board, and describe research with applications in crop management, geologic mapping, and all-weather Earth observation.
The journal is published online in the SPIE Digital Library by SPIE, the international society for optics and photonics, and optimizes the communication of concepts, information, and progress among the remote sensing community. Ni-Bin Chang, professor of civil, environmental, and construction engineering at the University of Central Florida, is editor-in-chief.
"Simplified adaptive volume scattering model and scattering analysis of crops over agricultural fields using the RADARSAT-2 polarimetric synthetic aperture radar imagery," authored by Xiaodong Huang and Jinfei Wang (Western University) and Jiali Shang (Agriculture and Agri-Food Canada) was selected in the category of Theoretical Innovation.
The paper analyzes the decomposed surface, double-bounce, and volume scattering components of wheat, soybean, and corn at various growth stages at the individual crop level, and demonstrates that their variations are consistent with each crop's phenological development.
"Integrated visible and near-infrared, shortwave infrared, and longwave infrared full-range hyperspectral data analysis for geologic mapping," authored by Fred Kruse (Naval Postgraduate School), was selected in the category of Interdisciplinary Applications.
The paper details the mapping of a site in northern Death Valley, California, to improve accurate identification and mapping of geologic materials utilizing complementary information available from the full spectral range.
"Augmented Lagrangian method for angular super-resolution imaging in forward-looking scanning radar," authored by Yuebo Zha, Yulin Huang, and Jianyu Yang (all of the University of Electronic Science and Technology of China), won in the category of Photo-Optical Instrumentation and Design.
The paper is accessible via open access, and proposes a high-precision method for angular super-resolution imaging in scanning radar. Due to advantages over optical sensing tools, radar is an important technology for areas such as Earth observation, oceanic monitoring, and military reconnaissance.
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