Synthetic Aperture radar and Hyperspectral airborne Campaign (SHAC2000)

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Dataset information

Country of origin
Updated
Created
Available languages
English
Keywords
Quality scoring
40

Dataset description

Data from the Synthetic Aperture Radar and Hyperspectral Airborne campaign (SHAC) run by the Natural Environment Research Council (NERC) and the British National Space Centre (BNSC). The campaign intended to provide support for industrial and academic research into earth resource and environmental monitoring. The campaign was managed by NRSC- now Infoterra. Fourteen different locations were flown in May and June 2000 in the campaign (see Fig.1), logistical constraints requiring two aircraft be used to fly the two instruments individually. The campaign involved a large number of researchers from NERC-EPFS and CEH, BAE Systems and InfoTerra on the ground collecting information vital to making best use of the airborne data: simultaneous spectral, sun photometer and GPS measurements and the installation by DERA, now QinetiQ, of corner reflectors to gain geo-coding of the E-SAR data. The outcome was previously unavailable, state-of the art, airborne data of the UK, which informed 11 research projects. The following list details the various SHAC2000 projects flown ScotSHAC campaign in Glen Affric Woodhouse, I., University of Edinburgh Fractional ground cover estimation from hyperspectral radiometry. Davenport, I., University of Reading Radar measurements of wheat crops at the Boxworth site. Quegan, S., University of Sheffield Land Surface Biophysical Parameters from Multi-angular Hyperspectral and SAR data. Lewis, P. , UCL Carbon Offset Verification of Forest Ecosystems. Dawson, T. , University of Oxford Remote Sensing of Leaks from Aqueducts. Malthus, T.,University of Edinburgh Integration of SAR and hyperspectral airborne data for quantitative analysis of estuarine convergent fronts and water quality (ref: BNSC SHAC 99/004). Ferrier, G., University of Hull Synergy of HyMap and digital elevation data for the analysis of upland peat erosion pattern and composition. McMorrow, J., University of Manchester Thetford Forest: Retrieval of biodiversity indicators for temperate forest from remote sensing; and Monks Wood: Quantifying habitat structure and quality for woodland birds. Balzter, H., CEH- NERC Remote sensing of hydrology and vegetation dynamics in the New Forest. Milton, E., University of Southampton Assessing the environmental impact of historical basemetal mining at Parys Mountain, Anglesey, with HyMap data. Lamb, A. and Denniss, A., Infoterra Ltd.
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