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SWOT River Database (SWORD)

The Surface Water and Ocean Topography (SWOT) satellite mission, successfully launched in December 2022, has revolutionized our ability to observe rivers by providing vast datasets of river water surface elevation, width, and slope measurements. To maximize the utility and flexibility of this data, the SWOT mission delivers a variety of data products, including river vector data in shapefile format for each SWOT overpass. These vector products offer immense potential for multi-temporal analysis of river systems, allowing researchers to track changes in river characteristics over time.

To enable this type of analysis, it was crucial to define consistent river reaches and nodes before the launch of SWOT. This ensures that data from different overpasses can be accurately assigned and compared. The SWOT River Database (SWORD) fulfills this critical role by combining multiple global datasets related to rivers and satellite observations. SWORD provides a standardized framework of high-resolution river nodes (spaced every 200 meters along river centerlines) and reaches (river segments of approximately 10 kilometers) in both shapefile and netCDF formats. These nodes and reaches are accompanied by a range of relevant hydrologic variables such as water surface elevation, width, slope, and information on river obstructions, flow accumulation, and more. This comprehensive dataset, covering global rivers 30 meters wide and greater, empowers researchers to conduct in-depth analysis of river systems and utilize SWOT data to its full potential.

SWORD integrates data from several existing global hydrography datasets, including the Global River Widths from Landsat (GRWL), MERIT Hydro, HydroBASINS, and the Global River Obstruction Database (GROD). It provides a wealth of attributes for each node and reach, such as:

  • Location: Latitude/longitude coordinates, reach boundaries.
  • Physical characteristics: Water surface elevation, width, slope, flow accumulation, number of channels, obstruction type (dams, waterfalls, etc.).
  • Hydrologic modeling: Parameters for various discharge estimation models (e.g., MetroMan, BAM, HiVDI) and associated uncertainties.
  • SWOT observation information: Number of SWOT passes and specific orbit tracks intersecting each reach during the 21-day orbit cycle.
  • Additional attributes: River names, ice cover flags, tributary flags, and quality flags indicating potential topological inconsistencies or data limitations.
Expand to show Node attribute descriptions

Attribute Description Units
x Longitude of each node ranging from 180°E to 180°W decimal degrees
y Latitude of each node, ranging from 90°S to 90°N decimal degrees
node_id Unique identifier for each node, formatted as: CBBBBBRRRRNNNT (C: Continent, B: Pfafstetter basin codes, R: Reach ID, N: Node ID within reach, T: Type) none
node_length Length of the node measured along the high-resolution centerline points meters
reach_id ID of the reach associated with each node, formatted as: CBBBBBRRRRT (C: Continent, B: Pfafstetter basin codes, R: Reach ID, T: Type) none
wse Average water surface elevation of the node meters
wse_var Variance of water surface elevation along the high-resolution centerline points used to calculate the average water surface elevation for each node meters^2
width Average width of the node meters
width_var Variance of width along the high-resolution centerline points used to calculate the average width for each node meters^2
n_chan_max Maximum number of channels observed within the node none
n_chan_mod Mode (most frequent) number of channels observed within the node none
obstr_type Type of obstruction at the node based on GROD and HydroFALLS databases: 0 - No Dam, 1 - Dam, 2 - Lock, 3 - Low Permeable Dam, 4 - Waterfall none
grod_id Unique GROD ID for nodes with obstr_type values 1-3 none
hfalls_id Unique HydroFALLS ID for nodes with obstr_type value 4 none
dist_out Distance from the river outlet to the node meters
type Node type identifier: 1 - River, 3 - Lake on river, 4 - Dam/waterfall, 5 - Unreliable topology, 6 - Ghost node none
facc Maximum flow accumulation value for the node kilometers^2
lakeflag GRWL water body identifier: 0 - River, 1 - Lake/reservoir, 2 - Canal, 3 - Tidally influenced river none
max_width Maximum width across the channel for the node, including islands and bars meters
river_name All river names associated with the node (separated by semicolons if multiple) none
sinuosity Ratio of total reach length to the straight-line distance between reach endpoints, indicating the degree of meandering none
meand_len Average length of meanders the node belongs to meters
manual_add Binary flag indicating if the node was manually added to GRWL centerlines (1) or not (0) none
trib_flag Binary flag indicating if a large tributary not in SWORD enters the node (1) or not (0) none
Expand to show Reach attribute descriptions

Attribute Description Units
x Longitude of the reach center point (ranging from 180°E to 180°W) decimal degrees
y Latitude of the reach center point (ranging from 90°S to 90°N) decimal degrees
reach_id Unique identifier for each reach, formatted as: CBBBBBRRRRT (C: Continent, B: Pfafstetter basin codes, R: Reach ID, T: Type) none
reach_length Length of the reach measured along the high-resolution centerline points meters
wse Average water surface elevation of the reach meters
wse_var Variance of water surface elevation along the high-resolution centerline points used to calculate the average water surface elevation for each reach meters^2
width Average width of the reach meters
width_var Variance of width along the high-resolution centerline points used to calculate the average width for each reach meters^2
n_nodes Number of nodes associated with the reach none
n_chan_max Maximum number of channels observed within the reach none
n_chan_mod Mode (most frequent) number of channels observed within the reach none
obstr_type Type of obstruction within the reach based on GROD and HydroFALLS databases: 0 - No Dam, 1 - Dam, 2 - Lock, 3 - Low Permeable Dam, 4 - Waterfall none
grod_id Unique GROD ID for reaches with obstr_type values 1-3 none
hfalls_id Unique HydroFALLS ID for reaches with obstr_type value 4 none
slope Average slope of the reach calculated along the high-resolution centerline points m/km
dist_out Distance from the river outlet to the reach meters
n_rch_up Number of upstream reaches connected to this reach none
n_rch_down Number of downstream reaches connected to this reach none
rch_id_up IDs of the upstream reaches connected to this reach none
rch_id_dn IDs of the downstream reaches connected to this reach none
lakeflag GRWL water body identifier: 0 - River, 1 - Lake/reservoir, 2 - Canal, 3 - Tidally influenced river none
max_width Maximum width across the channel for the reach, including islands and bars meters
type Reach type identifier: 1 - River, 3 - Lake on river, 4 - Dam/waterfall, 5 - Unreliable topology, 6 - Ghost reach none
facc Maximum flow accumulation value for the reach kilometers^2
swot_obs Maximum number of SWOT passes intersecting the reach during the 21-day orbit cycle none
swot_orbits List of SWOT orbit track numbers that intersect the reach during the 21-day cycle none
river_name All river names associated with the reach (separated by semicolons if multiple) none
trib_flag Binary flag indicating if a large tributary not in SWORD enters the reach (1) or not (0) none

Dataset preprocessing

Reaches and nodes shapefile datasets were downloaded zipped and uploaded as individual component shapefiles. The folder assets were then merged to create a single nodes and reaches files. Attributes were preserved as is from the shapefiles.

Citation

Altenau et al., (2021) The Surface Water and Ocean Topography (SWOT) Mission River Database (SWORD): A Global River Network for Satellite Data
Products. Water Resources Research. https://doi.org/10.1029/2021WR030054

Dataset citation

Elizabeth H. Altenau, Tamlin M. Pavelsky, Michael T. Durand, Xiao Yang, Renato P. d. M. Frasson, & Liam Bendezu. (2023). SWOT River Database (SWORD)
(Version v16) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10013982

nodes_reaches

Earth Engine Snippet

var nodes_merged = ee.FeatureCollection("projects/sat-io/open-datasets/SWORD/nodes_merged");
var reaches_merged = ee.FeatureCollection("projects/sat-io/open-datasets/SWORD/reaches_merged");

Sample code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/SWORD-NODES-REACHES-MERGED

Individual nodes and reaches files were ingested for reference and can be access by the users by using

var ee_nodes = ee.data.listAssets("projects/sat-io/open-datasets/SWORD/nodes");
var ee_reaches = ee.data.listAssets("projects/sat-io/open-datasets/SWORD/reaches");

print('Total of '+ee.List(ee_nodes.assets).size().getInfo()+ ' assets in nodes',ee_nodes.assets);
print('Total of '+ee.List(ee_reaches.assets).size().getInfo()+ ' reaches in nodes',ee_reaches.assets);

Sample code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/SWORD-NODES-REACHES

License

The datasets are provided under a Creative Commons 4.0 International License.

Provided by: Altenau et al., (2021)

Curated in GEE by: Samapriya Roy

Keywords: SWORD,SWOT,Rivers,Hydrology,Hydrography,River Networks,Global

Last updated in GEE: 2024-04-12

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