USDA/NASS Disaster Analysis Web Page https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/index.php Synopsis Event: Hurricane Laura Last Updated: September 14, 2020 ------------------------------------------------------------------------- ------------------------------------------------------------------------- File: Hurricane_Laura_Inundation_Layer.zip Description: This dataset is a 2020 inundation raster layer created to estimate the extent of cropland and pasture/hay inundated by flooding from Hurricane Laura. The study area includes Louisiana, Arkansas, and Mississippi, United States of America. Data represent cropland, inundated cropland, pasture/hay, inundated pasture/hay, water bodies, and other land. Projection: Albers Conical Equal Area Spatial Resolution: 30 meter Attribute Table Value Class_Name 1 Water 2 Other 10 Cropland 11 Inundated Cropland 20 Pasture Hay 21 Inundated Pasture Hay -------------------- Imagery Inputs Sentinel-1A Data: Interferometric Wide (IW) swath (250 kilometer), Level-1 Ground Range Detected (GRD), 5x20 meter spatial resolution, and dual polarization (VV, VH) Pre-Flood Sentinel 1A Imagery: 8/15, 8/16, 8/20, 8/22 Post-Flood Sentinel 1A Imagery: 9/1, 9/2, 9/3, 9/4 -------------------- Land Cover Inputs NASS 2019 Cultivated Layer (planted acres) Obtained From: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php NASS 2019 Cropland Data Layer (planted acres) Obtained From: CropScape: https://nassgeodata.gmu.edu/CropScape/ Disclaimer: These data are not official NASS estimates. -------------------- Processing Software The Hurricane Laura inundation data layer was created within Google Earth Engine (GEE). The use of GEE was a proof of concept for a modified processing methodology. Hexagon ERDAS Imagine 2018 (used for post-processing of raster data and acreage tabulation) http://www.hexagongeospatial.com/ Esri ArcGIS 10.7.0 (used for processing of vector data and for mapping and graphics) http://www.esri.com/ -------------------- Methodology Boryan, C., Z. Yang, A. Sandborn, P. Willis, and B. Haack (2018). Operational Agricultural Flood Monitoring With Sentinel-1 Synthetic Aperture Radar. IGARSS 2018, Valencia Spain, July 22-27, 2018. Posted 08/09/2018 https://www.nass.usda.gov/Research_and_Science/Cropland/docs/Boryan_IGARSS2018%20_Flood.pdf ------------------------------------------------------------------------- ------------------------------------------------------------------------- File: Hurricane_Laura_Flood_Assessment_Report.pdf Description: The Assessment Report provides a brief overview of the disaster event and the analysis that USDA/NASS conducted to estimate the extent of cropland and pasture/hay inundated by flooding from Hurricane Laura. The report provides an overview of the raster data created with select zooms of affected cropland and pasture/hay. ------------------------------------------------------------------------- ------------------------------------------------------------------------- There are several causes for anomalous water, which could include flooding, saturated fields from rainfall, ponding, or intentionally flooded rice and aquaculture fields.