HYSPIRE - HYper SPatial
Imagery of Rural Environments
The goal of HYSPIRE is to develop techniques of hyper-spatial and
hyper-spectral remote sensing for investigation of diverse rural resources.
Hyper-spatial refers to sensor and image resolution that is centimeter-decimeter
(inches) in scale. Imagery of this type allows recognition and interpretation of
objects as small as one foot (30 cm) in size. Hyper-spectral refers to the
number and width of each spectral band included in the dataset. The visible and
near-infrared spectrum are divided into hundreds of quite narrow bands, so that
spectral signatures of near-laboratory quality can be acquired in field
settings. With hyper-spectral datasets, it's possible to distinguish many kinds
of plants, minerals and other types of materials based on their spectral
characteristics. Hyper-spatial and hyper-spectral datasets are necessary to
bridge the scale and resolution gap between conventional satellite-based remote
sensing and ground-based observations.
Kansas NASA EPSCoR
NASA's Experimental Program to Stimulate Competitive Research (EPSCoR)
targets states having modest research infrastructure with funds to develop a
more competitive research base among their member academic institutions. The ten
NASA participants are Alabama, Arkansas, Kansas, Kentucky, Louisiana, Montana,
Nebraska, Oklahoma, Puerto Rico, and South Carolina.
The overall goal of Kansas EPSCoR is to increase the competitiveness of
Kansas for merit-based grants and contracts in support of science and technology
research from federal funding agencies.
