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SSTL UK-DMC SLIM-6 data quality assessment

IEEE Transactions on Geoscience and Remote Sensing

By:
, , , and
https://doi.org/10.1109/TGRS.2009.2013206

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Abstract

Satellite data from the Surrey Satellite Technology Limited (SSTL) United Kingdom (UK) Disaster Monitoring Constellation (DMC) were assessed for geometric and radiometric quality. The UK-DMC Surrey Linear Imager 6 (SLIM-6) sensor has a 32-m spatial resolution and a ground swath width of 640 km. The UK-DMC SLIM-6 design consists of a three-band imager with green, red, and near-infrared bands that are set to similar bandpass as Landsat bands 2, 3, and 4. The UK-DMC data consisted of imagery registered to Landsat orthorectified imagery produced from the GeoCover program. Relief displacements within the UK-DMC SLIM-6 imagery were accounted for by using global 1-km digital elevation models available through the Global Land One-km Base Elevation (GLOBE) Project. Positional accuracy and relative band-to-band accuracy were measured. Positional accuracy of the UK-DMC SLIM-6 imagery was assessed by measuring the imagery against digital orthophoto quadrangles (DOQs), which are designed to meet national map accuracy standards at 1 : 24 000 scales; this corresponds to a horizontal root-mean-square accuracy of about 6 m. The UK-DMC SLIM-6 images were typically registered to within 1.0-1.5 pixels to the DOQ mosaic images. Several radiometric artifacts like striping, coherent noise, and flat detector were discovered and studied. Indications are that the SSTL UK-DMC SLIM-6 data have few artifacts and calibration challenges, and these can be adjusted or corrected via calibration and processing algorithms. The cross-calibration of the UK-DMC SLIM-6 and Landsat 7 Enhanced Thematic Mapper Plus was performed using image statistics derived from large common areas observed by the two sensors.

Additional publication details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
SSTL UK-DMC SLIM-6 data quality assessment
Series title:
IEEE Transactions on Geoscience and Remote Sensing
DOI:
10.1109/TGRS.2009.2013206
Volume:
47
Issue:
7
Year Published:
2009
Language:
English
Publisher:
IEEE
Contributing office(s):
Earth Resources Observation and Science (EROS) Center
Description:
12 p.
First page:
2380
Last page:
2391