LimnoSat-US: A Remote Sensing Dataset for U.S. Lakes from 1984-2020

<p>LimnoSat-US is an analysis-ready remote sensing database that includes reflectance values spanning 36 years for 56,792 lakes across &gt; 328,000 Landsat scenes. The database comes pre-processed with cross-sensor standardization and&nbsp;the effects of clouds, cloud shadows, snow, ice, and macrophytes removed. In total, it contains over 22 million individual lake observations with an average of 393 +/- 233 (mean +/- standard deviation) observations per lake over the 36 year period.&nbsp; The data and code contained within this repository are as follows:</p> <p><em>HydroLakes_DP.shp:&nbsp;&nbsp;</em>A shapefile containing the deepest points for all U.S. lakes within HydroLakes.&nbsp; For more information on the deepest point see&nbsp;https://doi.org/10.5281/zenodo.4136754&nbsp; and Shen et al (2015).</p> <p><em>LakeExport.py</em>: Python code&nbsp;to extract reflectance values for U.S. lakes from Google Earth Engine.</p> <p><em>GEE_pull_functions.py: </em>Functions called within LakeExport.py</p> <p><em>01_LakeExtractor.Rmd:</em>&nbsp;An R Markdown file that takes the raw data from LakeExport.py and processes it for the final database.</p> <p><em>SceneMetadata.csv:</em>&nbsp;A file containing additional information such as scene cloud cover and sun angle for all Landsat scenes within the database.&nbsp; Can be joined to the final database using LandsatID.</p> <p><em>srCorrected_us_hydrolakes_dp_20200628:&nbsp;</em>The final LimnoSat-US database containing all cloud free observations of U.S. lakes from 1984-2020.&nbsp; Missing values for bands not shared between sensors (Aerosol and TIR2) are denoted by -99.&nbsp; dWL is the dominant wavelength calculated following Wang et al. (2015).&nbsp; pCount_dswe1 represents the number of high confidence water pixels within 120 meters of the deepest point.&nbsp; pCount_dswe3 represents the number of vegetated water pixels within 120 meters and can be used as a flag for potential reflectance noise.&nbsp; All reflectance values represent the median value of high confidence water pixels within 120 meters. The final database is provided in both as a .csv and .feather formats.&nbsp; It can be linked to SceneMetadata.cvs using LandsatID.&nbsp; All reflectance values are derived from USGS T1-SR Landsat scenes.</p>