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MBASSS About

Activity

Keywords: Land Surface Landsat-8 OLI Spectrometers/Radiometers TIRS
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Objectives

The objectives of the MBASSS project are to:

  • Demonstrate the validation capabilities of high-resolution Earth observation land products using advanced airborne capabilities and radiative transfer tools
  • Perform reflectance and spectral land indices product validation assessment of a test site with spatially complex pixels representative of northern peatland (Mer Bleue), co-located with high-resolution measurements such as Sentinel-2 and Landsat 8
  • Perform a sensitivity assessment of an airborne validation process on four airborne mission/sensor configuration variables, to allow optimisation of future airborne validation work, supported by field measurements
  • Define 'best practices' for ongoing product validation to ensure:
    • data quality continuity over time
    • data consistency between sensors
    • support for model results validation

Overview

  • Coordinated acquisition of Airborne Hyperspectral Mosaics with satellite image acquisitions
  • Coordinated Field Spectra of Mer Bleue ground communities to assist with:
    • Validation of airborne imagery
    • End members for image analysis
  • Ground spectra of a nearby specialised site for calibration and validation of airborne imagery
  • Geodetic and UAV surveys to map microtopography
  • Ancillary support data making use of, and extending, Mer Bleue Peatland Observatory capabilities
  • Satellite simulation from the airborne hyperspectral data using NRCan's ISDASv2 image analysis system
  • Acquisition of Airborne/Field data to perform sensitivity analysis of MBASSS data products (airborne and satellite) to various operational and mission parameters

Schedule

Key Activities Time Frame
MBASSS Ground Activities February – October 2016
Airborne Cal/Val Site Ground Activities February – October 2016
Airborne Image Acquisition February – October 2016
Airborne Hyperspectral Image Calibration and QA March – August 2016
Satellite Simulation and Methodology Evaluation May – November 2016
Airborne Hyperspectral Image Data Products and Analysis June – November 2016
Airborne Hyperspectral Image Sensitivity Analysis June – November 2016

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