Skip to main content

DSWEmod surface water map composites generated from daily MODIS images - California

Dates

Publication Date
Start Date
2003-01-01
End Date
2019-12-31

Citation

Soulard, C.E., Waller, E.K., Walker, J.J., and Petrakis, R.E., 2021, DSWEmod surface water map composites generated from daily MODIS images - California: U.S. Geological Survey data release, https://doi.org/10.5066/P9RVPJWE.

Summary

USGS researchers with the Patterns in the Landscape – Analyses of Cause and Effect (PLACE) project are releasing a collection of high-frequency surface water map composites derived from daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery. Using Google Earth Engine, the team developed customized image processing steps and adapted the Dynamic Surface Water Extent (DSWE) to generate surface water map composites in California for 2003-2019 at a 250-m pixel resolution. Daily maps were merged to create 6, 3, 2, and 1 composite(s) per month corresponding to approximately 5-day, 10-day, 15-day, and monthly products, respectively. The resulting maps are available as downloadable files for each year. Each file includes 72, 36, [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

MODIS_DSWE_CA_month.zip 120.54 MB application/zip
MODIS_DSWE_CA_15day.zip 203.9 MB application/zip
MODIS_DSWE_CA_10day.zip 295.85 MB application/zip
MODIS_DSWE_CA_5day.zip 685.78 MB application/zip
DSWEmod surface water map composites generated from daily MODIS images - Google Earth Engine Code.docx 17.37 KB application/vnd.openxmlformats-officedocument.wordprocessingml.document

Purpose

Optical satellite imagery has become a common tool for monitoring regional and national water inundation dynamics, but clouds and cloud shadows present challenges in assembling complete water time series. To test how MODIS might improve temporal information, the PLACE team generated and compared results from four DSWE MODIS (DSWEmod) composite products of 5, 10, 15, and 30 days to determine which composite most effectively reduces rates of surface water omission and captures surface water dynamics during cloudy high-precipitation months over the past 17 years (2003-2019). By helping to resolve these issues in surface water mapping, the team aims to create a suite of products that can be applied to understand long term surface water dynamics while also retaining information on the timing, location, and magnitude of winter surface water peaks.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9RVPJWE

Item Actions

View Item as ...

Save Item as ...

View Item...