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River Surface Reflectance Database (RiverSR)

RiverSR database (River Surface Reflectance) v1.1.0 This database contains Landsat 5, 7, and 8 Level 1 Collection 1 surface reflectance from all rivers in the contiguous USA that are ~60 meters wide or greater. The surface reflectance values across bands (red, g

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CreatorJohn Gardner
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Published2020-12-11
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DOI10.5281/zenodo.4304567
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Downloads7,750
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Licensecc-by-4.0
File Size13.1 GB
Data TypeDataset
Published2020
Licensecc-by-4.0
Total Views5,619
Total Downloads7,750

RiverSR database (River Surface Reflectance) v1.1.0

This database contains Landsat 5, 7, and 8 Level 1 Collection 1 surface reflectance from all rivers in the contiguous USA that are ~60 meters wide or greater. The surface reflectance values across bands (red, green, blue, nir, swir1, swir1) represent the median reflectance of pixels detected as water within each Landsat scene that are within the boundaries of each reach represented by NHDPlusV2 centerlines. Surface reflectance is therefore geo-referenced to river center lines with network topology (NHDPlusV2) for quick geospatial analysis.

Files:

1) Metadata (riverSR_v1.1_metadata.docx): Description of all data files associated with this repository. 

2) Surface reflectance database (riverSR_usa_v1.1.feather). Feather files are text files readable in R and python with the feather package and this table is joinable to nhdplusv2_modified_v1.0.shp based on the "ID" column and to the original NHDplusV2 flowlines with the "COMID" column.

3) Shapefile of river centerlines to which the reflectance data can be attached (nhdplusv2_modified_v1.0.shp).

4) Shapefile of the reach polygons associated with each nhdplusv2_modified reach. (nhdplusv2_polygons.shp).

5) The reach IDs of original and new NHDplusV2 centerlines. (COMID_ID.csv).

 

 

 

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River Surface Reflectance Database (RiverSR) (Full Dataset)13.1 GB
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Files are hosted on the source repository. Click download to access the full dataset.

John Gardner (2020). River Surface Reflectance Database (RiverSR). https://doi.org/10.5281/zenodo.4304567