Oil spill is one of major marine environmental challenges. The main impacts of this phenomenon are preventing light transmission into the deep water and oxygen absorption, which can disturb the photosynthesis process of water plants. In this research, we utilize SpecTIR airborne sensor data to extract and classify oils spill for the Gulf of Mexico Deepwater Horizon (DWH) happened in 2010. For t...

The broad overviews obtained with Landsat data can provide information concerning the location, types, and magnitudes of forest changes not easily obtainable by other means. One of the main goals of the current study is to provide spatial information regarding the more subtle forms of forest change rather than those primarily related to land cover conversion. A forest-dominated area in northern...

Urban development has expanded rapidly in the Las Vegas, Nevada metropolitan area over the last fifty years. Associated with this growth trend has been the transformation of the landscape from natural cover types to increasingly impervious urban land. To map urban extent and its change over time, an innovative approach is employed that determines sub-pixel impervious surfaces from highresolutio...

Data from the Hyperspectral Mapper (HyMap), which is acquired with a field of view (FOV) of 61.3 degrees, is disturbed by the bidirectional behavior of the covered surface and its complex geometry. The resulting phenomena, an across-track brightness gradient and spectral differences caused by shifted objects, were described and analyzed in detail. An appropriate correction method for the object...

Datatypes in PVS Sam Owre and Natarajan Shankar SRI International, Menlo Park, California National Aeronautics and Space Administration Langley Research Center Hampton, Virginia 23681-2199 Prepared for Langley Research Center under contract NAS 1-18969

In this paper, the problem of compressing hyperspectral images using a classification point of view is examined. The goal is to compress with loss an image in order to obtain interesting compression ratio with the constraint to be near lossless for a classification algorithm. Our proposed method is based on a spectral vector quantization performed by the Kohonen’s Self Organizing Map and an ent...

Spectral imagery from the HYDICE instrument was analyzed for the purpose of target detection and identification. Data in the 0.4 2.5 micron wavelength range were acquired during the FOREST RADIANCE data collect. Data were analyzed from an area consisting of grassy fields and forest areas. A variety of targets were deployed in the field, with ground truth spectral measurements made. Analysis of ...

Despite anecdotal evidence connecting angel and venture capital (VC) financing, there is little systematic evidence on how the two early-stage capital sources interact. To study this topic, I assemble the first comprehensive dataset on angel financing and characterize its size, scope, and role in the early-stage capital market. I use the population of newly incorporated startups located in Cali...

Soil salinity / alkalinity development is one of the major land degradation problem affecting sustainable agricultural productivity in irrigated areas of arid and semi arid regions of the world. The characterization and mapping of salt affected soils is difficult as the salt concentration may vary substantially over short distances. Various broadband multi-spectral satellite data and spectral i...

Oil-gas reservoir exploration using hyperspectral remote sensing, which based on the theory of hydrocarbon microseepage information and fine spectral response of target, is a new direction for the application of remote sensing technology. In this paper, Qaidam Basin and Liaodong Bay in China were selected as the study areas. Based on the hydrocarbon microseepage theory, the analysis of crude oi...