Skip to main content
U.S. flag

An official website of the United States government

Radiometric and geometric assessment of data from the RapidEye constellation of satellites

May 1, 2013

To monitor land surface processes over a wide range of temporal and spatial scales, it is critical to have coordinated observations of the Earth's surface using imagery acquired from multiple spaceborne imaging sensors. The RapidEye (RE) satellite constellation acquires high-resolution satellite images covering the entire globe within a very short period of time by sensors identical in construction and cross-calibrated to each other. To evaluate the RE high-resolution Multi-spectral Imager (MSI) sensor capabilities, a cross-comparison between the RE constellation of sensors was performed first using image statistics based on large common areas observed over pseudo-invariant calibration sites (PICS) by the sensors and, second, by comparing the on-orbit radiometric calibration temporal trending over a large number of calibration sites. For any spectral band, the individual responses measured by the five satellites of the RE constellation were found to differ <2–3% from the average constellation response depending on the method used for evaluation. Geometric assessment was also performed to study the positional accuracy and relative band-to-band (B2B) alignment of the image data sets. The position accuracy was assessed by comparing the RE imagery against high-resolution aerial imagery, while the B2B characterization was performed by registering each band against every other band to ensure that the proper band alignment is provided for an image product. The B2B results indicate that the internal alignments of these five RE bands are in agreement, with bands typically registered to within 0.25 pixels of each other or better.

Publication Year 2013
Title Radiometric and geometric assessment of data from the RapidEye constellation of satellites
DOI 10.1080/01431161.2013.798877
Authors Gyanesh Chander, Md Obaidul Haque, Aparajithan Sampath, A. Brunn, G. Trosset, D. Hoffmann, S. Roloff, M. Thiele, C. Anderson
Publication Type Article
Publication Subtype Journal Article
Series Title International Journal of Remote Sensing
Index ID 70188333
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center