| Title | Kalman filter method for generating time-series synthetic Landsat images and their uncertainty from Landsat and MODIS observations |
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| Author | Zhou, F; Zhong, D |
| Source | Remote Sensing of Environment vol. 239, 111628, 2020 p. 1-25, https://doi.org/10.1016/j.rse.2019.111628  Open Access |
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| Year | 2020 |
| Alt Series | Natural Resources Canada, Contribution Series 20190632 |
| Publisher | Elsevier |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf; html |
| Subjects | geophysics; Science and Technology; Nature and Environment; Agriculture; remote sensing; satellite imagery; models; reflectance; vegetation; Methodology |
| Illustrations | tables; flow diagrams; sketch maps; plots; satellite images; bar graphs; time series |
| Program | Canada Centre for Remote Sensing Divsion |
| Released | 2020 01 31 |
| Abstract | The 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. |
| GEOSCAN ID | 321961 |
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