Thursday 25 August 2005

PB2

PTH0136
New contribution of hyperspectral data to inorganic sediment estimation
Bayarri, Vicente¹, Castillo, Elena¹
1 University Of Cantabria, Spain
Author email: vicente.bayarri@unican.es
The Bay of Santander is a very important environmental element located in the north of the Cantabrian Community (Spain). Human spills to convert sea into land started about 1850 and gradually change the tide prism. The navigational channel must be periodically measured and dredged. Marsh, dunes or estuaries use to be characterized by their high natural values what usually cause them to be subjected to high protection levels that make the activities sought to develop inside. The current work compiles and developed process to estimate the grain size (sand, silt, clay, silty loam, sandy clay loam,Š) and the Pb, Zn, MnO and Fe2O3 inorganic contents. This article shows the experience obtained after applying the new PCA robust method developed/implemented by Huber's team to CASI (Compact Airborne Spectrograpic Imagery) imagery with 36 spectral bands within 400 to 950 nm range. Two different correction levels have been considered aimed to assess whether the final product has been improved. Components have been calibrated using different nature fit models (lineal, least trimmed squared, Huber estimator) and validation processes have been developed Results show that accuracy is highly dependent of the radiometric and atmospheric corrections, but it can be used as a practical tool for deriving size grain and inorganic sediments in coastal environments. This method provides results cheaper and more accurate than the classical sample-based chemical methods. It's only necessary to sample on-site a few uncorrelated points for calibration and validation, and using robust statistic techniques it is possible correlate the radiometric data and assess the results of laboratory. Key Words: Remote Sensing, CASI, size grain, inorganic sediments, hyperspectral, validation, calibration

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