This dataset, “lakeSR:Landsat Collection 2 surface reflectance and surface temperature datasets for centrally located points of water bodies greater than 1 hectare in the United States and territories, 1983-2024”, is a component of an update to AquaSat (Ross et al., 2019): AquaSat version 2 (“v2”). The overarching purpose of AquaSat v2 is to emphasize the individual parts of the AquaSat pipeline that make-up the matchups between satellite and in situ measurements. This data release focuses on the Landsat Collection 2 Surface Reflectance and Surface Temperature record for National Hydrography Dataset (NHD) waterbodies in the United States and territories that are greater than 1 hectare in surface area. Additionally, this dataset provides intermission calibration coefficients (“intermission handoffs”) to aid in creating interoperable timeseries using multiple sensor types (Thematic Mapper, Enhanced Thematic Mapper Plus, Optical Land Imager, and Thermal Infrared Sensor) from the varying Landsat payloads. Landsat data were acquired using Google Earth Engine (Gorelick, 2017) in Python programming language and filtered to meet minimum quality thresholds in R programming language. Additional documentation for this data product can be found at https://aquasat.github.io/AquaMatch_lakeSR/.
Ross, M. R. V., Topp, S. N., Appling, A. P., Yang, X., Kuhn, C., Butman, D. et al. (2019). AquaSat: A data set to enable remote sensing of water quality for inland waters. Water Resources Research, 55, 10012–10025. https://doi.org/10.1029/2019WR024883
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2017.06.031