Accurately calibrated multi-, hyper-, and ultra-spectral remote sensing measurement systems are rapidly becoming the instruments of choice for observing a wide variety of geophysical variables from ground-¬, aircraft- and satellite-based platforms. New data processing and analysis techniques are emerging for the optimum interpretation of resultant radiance measurements obtained by these spectrometer systems, covering a spectral range from the visible to the far infrared, to enable a wide range of research and operational applications; geophysical applications include, for example, surface and cloud property characterizations along with retrievals of atmospheric state, dynamics, and composition, all at high spatial resolution while simultaneously covering large areas. Geophysical remote sensing data products from multi- to ultra-spectral remote sensing systems promise to accelerate scientific research on environmental processes, enable efficient monitoring of environmental variables, and lead to improved predictive capability for such parameters and how they respond to natural and anthropogenic external forcings. New and improved technologies and techniques promise smaller and lighter next-generation sensor systems for enhancing current and enabling new future measurement capabilities. This conference will bring together the scientific, engineering, and data user communities to provide an international forum for exchanging information about the development, application of, and experimental results from multi-, hyper- and ultra-spectral resolution remote sensing measurement systems. Papers are solicited on all aspects associated with the design, development, and implementation of, as well as analysis and usage of data from, such remote sensing systems intended for environmental monitoring applications. These include the following and related topics:

• enabling spectrometer system technologies
• new measurement techniques and instrument concepts
• calibration and characterization techniques (spectral, spatial, and radiometric)
• laboratory instrument characterizations, testing and demonstrations
• ground-, balloon-, aircraft-, rocket-, and satellite-based measurements
• data sampling, processing, compression, and telemetry approaches
• radiative transfer modeling for efficient state parameter retrieval
• retrieval of atmospheric state, dynamics, and composition
• characterization of ecosystem physical and radiative properties
• remote sensing applications for environmental research and operations (e.g., weather, air quality, and climate; agriculture, land use and land cover, water resources and marine science, disaster management, etc.).