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Flood Risk and Vulnerability Analysis Project - Atlantic Climate ...

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3.3.2.2 SPOT Satellite Imagery<br />

All SPOT imagery was provided to AMEC by the WRMD with assistance from Iunctus<br />

Geomatics Corp. The SPOT images were delivered as previously orthorectified datasets <strong>and</strong><br />

with a combination of clipped <strong>and</strong>/or full scenes that included 2.5-meter panchromatic, 2.5-<br />

meter fused natural color (3-b<strong>and</strong>), <strong>and</strong> 10-meter resolution multispectral (4-b<strong>and</strong>). Fused<br />

natural color images were used for training <strong>and</strong> verification purposes while the 10-meter<br />

multispectral imagery was used for classification. Image acquisition dates spanned from 2005<br />

to 2010, with the majority of images used being collected in 2009 <strong>and</strong> 2010. Most SPOT<br />

imagery was provided by hard drive with supplemental images needed to fill gaps in coverage<br />

provided by Iunctus via FTP. Recommendations at the end of this section offer suggestions for<br />

improved data management of imagery ordering, tracking <strong>and</strong> delivery to vendors on future<br />

projects as well as other general best practices for leveraging remotely sensed imagery.<br />

Additionally, the following description was provided by Iunctus to describe their image<br />

preprocessing methods <strong>and</strong> accuracies:<br />

“The data set is derived from SPOT5 2.5m panchromatic <strong>and</strong> 10m multispectral raw<br />

image level 1A. It has been processed to Level 3A orthorectified dataset using the most<br />

accurate control available. This includes (in order of priority) 1) NRN from GeoBase; <strong>and</strong><br />

2) LANDSAT 7 ortho-imagery from GeoBase. The methodology ensures adequate<br />

distribution of the control points within the image. The parametric model was developed<br />

by Dr. Thierry Toutin at the Canada Centre for Remote Sensing (CCRS), Natural<br />

Resources Canada. This model is based on principles related to orbitography,<br />

photogrammetry, geodesy, <strong>and</strong> cartography. It reflects the physical reality of the<br />

complete viewing geometry <strong>and</strong> corrects distortions that occur due to platform, sensor,<br />

Earth, <strong>and</strong> cartography projection. The Digital Elevation Model (DEM) is the most<br />

accurate source available from GeoBase as of the date of orthorectification. This is the<br />

Canadian Digital Elevation Data (CDED). The CDED can be a combination of data at the<br />

1:50 000 or 1:250 000 scale. Level 3A orthorectified images are resampled using an 8-<br />

point SinX method. The preprocessing applied to level 1A data for SPOT satellites is<br />

minimal. Only detector equalization is performed: it consists of compensating for the<br />

differences of sensitivities between the elementary detectors of the CCD (Charged<br />

Coupled Device) arrays, using a linear model. Absolute calibration coefficients posted in<br />

the ancillary data can be used to convert the pixel counts into irradiance values. No<br />

geometric corrections are performed, <strong>and</strong>, when displayed, the SPOT Scene image in<br />

level 1A is a square. Ancillary data (coordinates of the scene center as well as the four<br />

corners) describe the image location with an accuracy better than 500m root mean<br />

square error (rms) for SPOT4 <strong>and</strong> an accuracy better than 30m rms for SPOT5.”<br />

TA1112733<br />

36

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