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TitleKalman filter method for generating time-series synthetic Landsat images and their uncertainty from Landsat and MODIS observations
AuthorZhou, F; Zhong, DORCID logo
SourceRemote Sensing of Environment vol. 239, 111628, 2020 p. 1-25, Open Access logo Open Access
Alt SeriesNatural Resources Canada, Contribution Series 20190632
Mediapaper; on-line; digital
File formatpdf; html
Subjectsgeophysics; Science and Technology; Nature and Environment; Agriculture; remote sensing; satellite imagery; models; reflectance; vegetation; Methodology
Illustrationstables; flow diagrams; sketch maps; plots; satellite images; bar graphs; time series
ProgramCanada Centre for Remote Sensing Divsion
Released2020 01 31
AbstractThe SWIR Full Spectrum Imager (SF51) is an imaging spectrometer covering the short-wave infrared (SWIR) from 1220 to 2420 nm, which has been developed for remote sensing from an airborne platform. The sensor has been designed to acquire the full spectrum at high spectral resolution (10.3 nm) and the full image swath at high spatial resolution (to 20 cm) simultaneously. The instrument utilizes a two-dimensional detector array, refractive optics and a transmission grating. The fore-optics and spectrograph are f/1.8, and the angular field-of-view is 9.4°. The detector is a 488 line by 512 pixel PtSi Schottky barrier photodiode array. A VME bus computer communicates with the array controller, performs the data acquisition and provides the operator interface. The optical design and sensor system are described; calibration methods and results are presented. Post flight data processing procedures are described and the spectral signal-to-noise ratio is calculated from in-flight data. A sample single-band image from data collected on the June 1995 Nevada mission is displayed, spectra of minerals and trees are extracted, and a classification of this image is shown.

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