Pollution detection by digital correlation of multispectral, stero-image pairs.Remote detection of air pollution circulation patterns is proposed to eventually predict the accumulation of hazardous surface concentrations in time for preventive emission control operations. Earth observations from space platforms will contain information on the height, mean velocity and lateral mixing scales of inversion layers and pollution plumes. Although this information is often not visible on photographs, it could conceivably be retrieved through a digital cross-correlation of multispectral stereo image pairs. Laboratory and field test results are used to illustrate the detection of non-visual inversion layers, the reduction of dominant signal interference, and the spectroscopic identification of combustion products.
Document ID
19720026885
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Krause, F. R. (NASA Marshall Space Flight Center Huntsville, Ala., United States)
Betz, H. T. (IIT Research Institute Chicago, Ill., United States)
Lysobey, D. H. (Oklahoma, University Norman, Okla., United States)
Date Acquired
August 6, 2013
Publication Date
November 1, 1971
Subject Category
Instrumentation And Photography
Report/Patent Number
AIAA PAPER 71-1106
Meeting Information
Meeting: Joint Conference on Sensing of Environmental Pollutants