of Geographical Sciences, College Park, MD, USA 8 9 Abstract 10 11 The surface reflectance, i.e., satellite derived top of atmosphere (TOA) reflectance The original Landsat 8 Surface Reflectance Code (LaSRC) algorithm was developed by Dr. Eric Vermote, National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC), and was modified Landsat 8 SR data products are generated from specialized software called Landsat 8 Surface Reflectance Code (LaSRC). (From Franch et al. Landsat numbers its red, green, and blue sensors as 4, 3, and 2, so when we combine them we get a true-color image such as this one: This was Landsat 8 Surface Reflectance Code (LaSRC) Changes made in LaSRC v3.0 – Released June 23 The ratio of the blue/red bands instead of deep blue/red is used in the aerosol inversion process. Landsat 8: Comparison of TOA Reflectance Values with SP3 In order to see how manually calculated reflectance values compare with those that are automatically generated by the Service Pack 3, I used Band Math to map out the differences between the two: B1-B2; B1 = manually calculated TOA, B2 = SP3 generated TOA. This dataset is the atmospherically corrected surface reflectance from the Landsat 5 ETM sensor. So multiplying the digital number by 0.0001 will give you a value between 0 and 1. Note that Franch used AERONET data to improve the surface reflectance of the LEDAPS reflectance product used as input. Landsat 8 measures different ranges of frequencies along the electromagnetic spectrum – a color, although not necessarily a color visible to the human eye.

Each range is called a band, and Landsat 8 has 11 bands. 1 1 Preliminary analysis of the performance of the Landsat 8/OLI land surface 2 reflectance product 3 4 Eric Vermote1, Chris Justice2, Martin Claverie2,1, Belen Franch2,1 5 6 1NASA/GSFC Code 619, Greenbelt, MD, USA 7 2University of Maryland, Dept. Return to Landsat Science Products OverviewSurface reflectance improves comparison between multiple images over the same region by accounting for atmospheric effects such as aerosol scattering and thin clouds, which can help in the detection and characterization of Earth surface change. Aerosol interpolation is performed at the pixel level versus the CMG level, which resolves the blockiness artifacts evident in previous version. The moderate spatial resolution satellite data from the polar-orbiting Landsat-8 (launched 2013) and Sentinel-2A (launched 2015) sensors provide 10 m to 30 m multi-spectral global coverage with a better than 5-day revisit. I see lots of references for Tasseled Cap transformation for Landsat-8 Top of Atmosphere reflectance.

Landsat 8 OLI Collection 2 Surface Reflectance data are generated using the Land Surface Reflectance Code (LaSRC) (version 1.5.0), which makes use of the coastal aerosol band to perform aerosol inversion tests, uses auxiliary climate data from MODIS, and a unique radiative transfer model (Vermote et al., 2016). The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a Virtual Constellation (VC) of surface reflectance (SR) data acquired by the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard Landsat 8 and Sentinel-2 remote sensing satellites, respectively.