Each range is called a band, and Landsat 8 has 11 bands. (2014). of Geographical Sciences, College Park, MD, USA 8 9 Abstract 10 11 The surface reflectance, i.e., satellite derived top of atmosphere (TOA) reflectance (From Franch et al. (2011) and Franch et al. Landsat 8: Negative Reflectance Values When the DN values were converted to the TOA reflectance values, there was a large number of negative reflectance values. 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 This was Note that Franch used AERONET data to improve the surface reflectance of the LEDAPS reflectance product used as input. 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: These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and one thermal infrared (TIR) band processed to orthorectified brightness temperature. LANDSAT 8 ALBEDO ANALYSIS Validation of Landsat (5/7) Albedo derived by Shuai et al. So multiplying the digital number by 0.0001 will give you a value between 0 and 1. Aerosol interpolation is performed at the pixel level versus the CMG level, which resolves the blockiness artifacts evident in previous version. 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. 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. Other processing options, such as spectral indices, format conversion, spatial subset, and/or coordinate system reprojection are described in other product guides and web pages. 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. 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.

Surface reflectance is generated from Level-1 inputs that meet the Landsat 8 SR data products are generated from specialized software called Landsat 8 Surface Reflectance Code (LaSRC). Landsat 8 measures different ranges of frequencies along the electromagnetic spectrum – a color, although not necessarily a color visible to the human eye. Information about Surface Reflectance processing of Landsat 8 data can be found in the . 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. Most of the pixels with negative reflectance values were in the triangular border regions (white pixels: DN=0 on ALL bands).

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 Surface Reflectance Code (LaSRC) Product Guide. I see lots of references for Tasseled Cap transformation for Landsat-8 Top of Atmosphere reflectance.

These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SWIR) bands processed to orthorectified surface reflectance, and two thermal infrared (TIR) bands processed to orthorectified brightness temperature This dataset is the atmospherically corrected surface reflectance from the Landsat 5 ETM sensor. This dataset is the atmospherically corrected surface reflectance from the Landsat 8 OLI/TIRS sensors.

The Landsat reflectance data you downloaded from USGS has been scaled using a scale factor of 0.0001. 2014.)