For the past several months, I have been hearing from users of ENVI about a new set of provisional Landsat products being provided by the USGS.These products, known as Surface Reflectance High Level Data Products, are generated by specialized software that was originally developed by NASA.The software applies radiometric calibration and atmospheric correction algorithms to Level-1 Landsat …

Users rely on these data for historical study of land surface change and require consistent radiometric data processed to the highest sci-ence standards. Accordingly, this product will ensure that reflective value differences between imagery acquired at different times by different sensors will be primarily due to on-ground changes in biophysical parameters rather than artifacts of the imaging environment.

Landsat 8 Surface Reflectance (Provisional) Product Guide - EarthExplorer Version Version 1.1 May 2015 Department of the Interior U.S. Geological Survey Viewed 539 times 2. LaSRC Product Guide - 2 - Version 4.3 Executive Summary This document describes relevant characteristics of the Landsat 8 Surface Reflectance

Surface Reflectance Status TM and ETM+ processed through LEDAPS On-demand through EarthExplorer and ESPA Planning transition to operational systems OLI processed through separate code base Currently in “provisional” (Beta) release In the process of documenting code, processing flow, known issues (following slides) Product Guide The product described here, the Landsat 8 Surface Reflectance Code (LaSRC) is distinctly different from the algorithm used by USGS to process Landsat 4–5 Thematic

Landsat 8 Internal Surface Reflectance Aerosol Quality Assessment (sr_aerosol) Bit Index ..... 16 Table 6-7. The Land Surface Reflectance Code (LaSRC) Product Guide describes the LaSRC algorithm and the Landsat 8 Surface Reflectance data products created from it. The SR product delivers modeled surface reflectance from Landsat TM/ETM+/OLI data using physical rather than empirical models. Other Surface Reflectance Guides: Landsat 8 w/Free QGIS Sentinel-2 w/ArcGIS Sentinel-2 w/ Free QGIS FOR A LESS DETAILED TUTORIAL use: Simplified Landsat 8 Conversion to Surface Reflectance Steps This easy tutorial applies Image-Based Atmospheric Correction to convert Landsat 8 imagery to surface reflectance (SR), which is essentially a process of establishing and deducting … Initially, we are offering surface reflectance versions of all Landsat 8 and Sentinel-2 imagery that we ingest. A full description of the algorithm and the validation of Landsat-8 OLI surface reflectance product is presented in Vermote et al. All three products are generated from U.S. Landsat 4-8 Analysis Ready Data surface reflectance data collected from the Landsat Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Operational Land Imager (OLI)/Thermal Infrared Sensor (TIRS) instruments from 1982 to 2017 (Dynamic Surface Water Extent is available 1982 to present). More information pertaining to the auxiliary data characteristics is described in the LEDAPS and LaSRC Product Guides. Landsat Surface Reflectance Data Landsat satellite data have been produced, archived, and distributed by the U.S. Geological Survey (USGS) since 1972. Landsat 8 Surface Reflectance (Provisional) Product Guide - EarthExplorer Version Version 1.1 May 2015 Department of the Interior U.S. Geological Survey Table 6-6. A Harmonized Surface Reflectance Product Landsat and Sentinel-2 data represent the most widely accessible moderate-to-high spatial resolution multispectral satellite measurement.

Landsat 47 and the Landsat Surface Reflectance Code (LaSRC) for Landsat 8. In this the scale factor for each bands (1-7) are give specifically as 0.0001. I downloaded some Landsat 8 OLI/TIRS C1 Level-1 images from EarthExplorer. Visit the Landsat Surface Reflectance page for more information. USGS Landsat 5 Surface Reflectance Tier 1 This dataset is the atmospherically corrected surface reflectance from the Landsat 5 ETM sensor.

Visit the Landsat Surface Reflectance page for more information. A comparison here shows that Landsat 8 and Sentinel-2 imagery on the same date only 15 minutes apart both converted to surface reflectance with the Frequency 50 - .008 method, have similar values to each other and USGS Landsat 8 Algorithm Surface Reflectance.

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