County-level maps of cropland surface water inundation measured from Landsat and MODIS

Dates

Publication Date: 2022-08-23
Start Date: 2003
End Date: 2020

Citation

Smith, B.W., Soulard, C.E., Walker, J.J., and Wein, A.M., 2022, County-level maps of cropland surface water inundation measured from Landsat and MODIS: U.S. Geological Survey data release, https://doi.org/10.5066/P9EKSSXX.

Summary

This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR). Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards, and young perennial [...]

Summary

This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR). Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards, and young perennial crops. Surface water maps were produced using the Dynamic Surface Water Extent (DSWE) model, in which satellite image pixels are classified into different levels of detection confidence. Our analysis focused on calculating the monthly occurrence of “high confidence” water from each satellite collection across eight cropland types and 58 counties. The resulting tabular data have been joined to a county GIS shapefile covering the state of California. The file includes attributes summarizing each crop contained within the county boundaries along with a summary of how much cropland intersects past locations of cropland inundation, the relative percentage of cropland inundated, and the frequency of crop inundation. These summaries were generated using both the Landsat and MODIS water inundation maps, and are presented separately in the data release.

Contacts

Point of Contact :: Britt W Smith
Process Contact :: Britt W Smith
Originator :: Britt W Smith, Christopher E Soulard, Jessica J Walker, Anne Wein
Metadata Contact :: Britt W Smith
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
USGS Mission Area :: Ecosystems
SDC Data Owner :: Western Geographic Science Center

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Shapefile: ca_counties_inun_stats.zip
ca_counties_inun_stats.xml Original FGDC Metadata	View	24 KB
ca_counties_inun_stats.dbf		380.19 KB
ca_counties_inun_stats.shp		38.2 MB
ca_counties_inun_stats.shx		4.53 KB
ca_counties_inun_stats.cpg		5 Bytes
ca_counties_inun_stats.prj		167 Bytes

Related External Resources

Type: Related Primary Publication

Smith, B.W., Soulard, C.E., Walker, J.J., and Wein, A.M., 2022, Using Landsat and MODIS satellite collections to examine extent, timing, and potential impacts of surface water inundation in California croplands: Remote Sensing Applications: Society and Environment, v. 28, p. 100837, https://doi.org/10.1016/j.rsase.2022.100837.	https://doi.org/10.1016/j.rsase.2022.100837

Purpose

The state of California (USA) produces many crop products that are both utilized domestically and exported throughout the world. Monitoring unintentional and intentional surface water inundation is important for water resource management and flood hazard readiness.

County-level maps of cropland surface water inundation measured from Landsat and MODIS

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Map

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