The annual HICO Data Users Meeting was recently held in Washington, D.C. from 7-8 May 2014. This meeting was an opportunity for the HICO science community to exchange ideas, present research accomplishments, showcase applications, and discuss hyperspectral image processing techniques. With more than a dozen presentations and ample discussion throughout, it was an insightful and very informative meeting.
Highlights from 2104 HICO Data Users Meeting include:
- Mary Kappus (Naval Research Laboratory) summarized the status of the HICO mission, including an overview of current instrument and data management operations. Notable upcoming milestones include the 5 year anniversary of HICO in September 2014 and the acquisition of HICO’s 10,000th scene – impressive achievements for a sensor that began as just a technology demonstration.
- Jasmine Nahorniak (Oregon State University) presented an overview of the OSU HICO website, which provides a comprehensive database of HICO sensor information and data characteristics. The website also includes resources for searching and downloading data from the OSU HICO archives, visualizing orbit and target locations in Google Earth, and an online tool (currently in beta testing) for performing atmospheric correction using tafkaa_6s.
- Sean Bailey (NASA Goddard Space Flight Center) outlined the HICO data distribution and image processing capabilities at NASA. HICO support was initially added to SeaDAS in April 2013, with data distribution beginning in July 2013. In less than a year, as of February 2014, NASA has distributed 4375 HICO scenes to users in 25 different countries. NASA is also planning to soon incorporate additional processing capabilities in SeaDAS to generate HICO ocean color products.
- With respect to HICO applications: Lachlan McKinna (NASA GSFC) presented a project using time series analysis to detect bathymetry changes in Shark Bay, Western Australia; Marie Smith (University of Cape Town) described a chlorophyll study in Saldanha Bay, South Africa; Darryl Keith (US EPA) discussed the use of HICO for monitoring coastal water quality; Wes Moses (NRL) summarized HICO capabilities for retrieving estimates of bathymetry, bottom type, surface velocity and chlorophyll; and Curtiss Davis (OSU) presented HICO applications for assessing rivers, river plumes, lakes and estuaries.
- In terms of image processing techniques, Marcos Montes (NRL) summarized the requirements and techniques for improved geolocation, ZhongPing Lee (UMass Boston) presented a methodology for atmospheric correction using cloud shadows, and Curtiss Davis (OSU) discussed various aspects of calibration and atmospheric correction.
- James Goodman (HySpeed Computing) presented an overview of the functionality and capabilities of the HICO Online Processing Tool, a prototype web-enabled, scalable, geospatial data processing system based on the ENVI Services Engine. The tool is scheduled for release later this year, at which time it will be openly available to the science community for testing and evaluation.
Interested in more information? The meeting agenda and copies of presentations are provided on the OSU HICO website.
About HICO (http://hico.coas.oregonstate.edu/): “The Hyperspectral Imager for the Coastal Ocean (HICO™) is an imaging spectrometer based on the PHILLS airborne imaging spectrometers. HICO is the first spaceborne imaging spectrometer designed to sample the coastal ocean. HICO samples selected coastal regions at 90 m with full spectral coverage (380 to 960 nm sampled at 5.7 nm) and a very high signal-to-noise ratio to resolve the complexity of the coastal ocean. HICO demonstrates coastal products including water clarity, bottom types, bathymetry and on-shore vegetation maps. Each year HICO collects approximately 2000 scenes from around the world. The current focus is on providing HICO data for scientific research on coastal zones and other regions around the world. To that end we have developed this website and we will make data available to registered HICO Data Users who wish to work with us as a team to exploit these data.”