Paper
18 January 1988 Data Analysis Of A Coastal Zone Remote Sensing Campaign By The Nasa C130 Airplane
I. Pippi, B . Radicati
Author Affiliations +
Abstract
The principal goal of most of our remote sensing campaigns has been the choice of the best airborne sensors and the selection of the most efficient visible and infrared wavelengths for the remote sensing of the Italian coastal zone. The "1986 C130 European Program" was performed by NASA C130 airplane last summer. In this contest on 30th July a flight over the Tuscan islands and coast was performed. The airplane was equipped with the following main sensors: a Thematic Mapper Simulator (TMS), a Thermal Infrared Multispectral Scanner (TIMS) and an Airborne Imaging Spectrometer (AIS). The images acquired, were firstly corrected for the several types of instrumental noise and errors and after that were correlated with the flight parameters and geometrically corrected. Finally the data were reduced to physical units taking into account the sensors calibration. Particular attention was also paid to the atmospheric effects taken into account by the use of the spectral results of the computer program LOWTRAN-6. First results on sea temperature detection, especially near river or channel estuaries, were reported. At the same time comparison between the thermal infrared channel of the TMS and those of THIS was performed. In addition studies are being made on the relationships among chlorophyll, plankton, yellow substance, oil at sea, total suspended matter, fluorescence and sea color. On that basis, combining the bands of the TMS, tentative image processing is being performed to determinate alga and dissolved organic materials covering.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. Pippi and B . Radicati "Data Analysis Of A Coastal Zone Remote Sensing Campaign By The Nasa C130 Airplane", Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); https://doi.org/10.1117/12.942141
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Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Remote sensing

Scanners

Artificial intelligence

Infrared radiation

Atmospheric modeling

Infrared sensors

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