USDA NASS Disaster Analysis 2020 Event - Hurricane Laura

Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator:
United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS), Research and Development Division (RDD), Geospatial Information Branch (GIB), Spatial Analysis Research Section (SARS)
Publication_Date: 20200914
Title: USDA NASS Disaster Analysis 2020 Event - Hurricane Laura
Edition: USDA NASS Disaster Analysis 2020 Event - Hurricane Laura
Geospatial_Data_Presentation_Form: raster digital data
Publication_Information:
Publication_Place:
USDA, NASS Marketing and Information Services Office, Washington, D.C.
Publisher: USDA, NASS
Other_Citation_Details:
The USDA NASS monitors the impact of natural disasters on US agriculture in near real-time using remotely sensed data and geospatial techniques. The first test case is detailed in the following papers <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/2018/Hurricane-Michael/Flood_Monitoring_Methodology_Paper.pdf> and <https://www.nass.usda.gov/Research_and_Science/Cropland/docs/Boryan_IGARSS2018%20_Flood.pdf>.
Online_Linkage:
<https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>
Description:
Abstract:
This dataset evaluates the impact of Hurricane Laura on agricultural land cover. The inundation raster layer was created to estimate the extent of cropland and pasture/hay inundated by flooding that occurred in late August 2020. The official website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/> provides disaster assessments in geospatial data format, reports, and metadata as available. The study area consists of portions of Louisiana, Arkansas, and Mississippi, United States of America. Data represent cropland, inundated cropland,pasture/hay, inundated pasture/hay, water bodies, and other land. These data are not official NASS estimates.
Purpose:
Agricultural disaster monitoring is important for food security and economic stability. Using remotely sensed data and geospatial techniques provides an additional tool for the USDA NASS to use in evaluating a disaster's impact on US agriculture.
Supplemental_Information: 
  LIST OF INPUTS

  --------------------
  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)

  Imagery Download: Alaskan Satellite Facility
  https://vertex.daac.asf.alaska.edu/

  Pre-Flood Sentinel 1A Imagery: August 15, 16, 20, 22

  Post-Flood Sentinel 1A Imagery: September 1, 2, 3, 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/
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20200815
Ending_Date: 20200905
Currentness_Reference: September 2020
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -94.6153
East_Bounding_Coordinate: -88.5119
North_Bounding_Coordinate: 36.6325
South_Bounding_Coordinate: 28.8676
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: farming, 001
Theme_Keyword: environment, 007
Theme_Keyword: imageryBaseMapsEarthCover, 010
Theme:
Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Science Keywords
Theme_Keyword:
Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: crop cover
Theme_Keyword: cropland
Theme_Keyword: agriculture
Theme_Keyword: farming
Theme_Keyword: land cover
Theme_Keyword: crop estimates
Theme_Keyword: DEIMOS-1
Theme_Keyword: UK-DMC 2
Theme_Keyword: ISRO ResourceSat-2 LISS-3
Theme_Keyword: ESA SENTINEL-2
Theme_Keyword: Landsat
Theme_Keyword: CropScape
Place:
Place_Keyword_Thesaurus: Global Change Master Directory (GCMD) Location Keywords
Place_Keyword: Continent > North America > United States of America > Arkansas
Place_Keyword:
Continent > North America > United States of America > Louisiana
Place_Keyword:
Continent > North America > United States of America > Mississippi
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Arkansas
Place_Keyword: Louisiana
Place_Keyword: Mississippi
Place_Keyword: AR
Place_Keyword: LA
Place_Keyword: MS
Temporal:
Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2020
Access_Constraints: None
Use_Constraints:
The USDA NASS Disaster Analysis data are provided to the public as is and are considered public domain and free to redistribute. The USDA, NASS does not warrant any conclusions drawn from these data. These data are not official NASS estimates.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section staff
Contact_Address:
Address_Type: mailing and physical address
Address: 1400 Independence Avenue, SW, Room 5029 South Building
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-2001
Country: USA
Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@usda.gov
Data_Set_Credit: USDA, National Agricultural Statistics Service
Security_Information:
Security_Classification_System: None
Security_Classification: Unclassified
Security_Handling_Description: None
Native_Data_Set_Environment:
Microsoft Windows 7 Enterprise; ERDAS Imagine Version 2018 <https://www.hexagongeospatial.com/>; ESRI ArcGIS Version 10.7.0.10450 <https://www.esri.com/>. ERDAS Imagine is used in the analysis and post-processing of all raster-based data. ESRI ArcGIS is used to prepare all vector-based data and to create graphics. 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.
Data_Quality_Information:
Logical_Consistency_Report:
The official website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/> provides disaster assessments in geospatial data format, reports, and metadata as available.
Completeness_Report: This is a one time analysis with no planned updates.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The Disaster Analysis products retain the spatial attributes of the underlying Cropland Data Layer and its input imagery. The Landsat 8 OLI/TIRS imagery is obtained via download from the USGS Global Visualization Viewer (Glovis) website <https://glovis.usgs.gov/>. Please reference the metadata on the Glovis website for each Landsat scene for positional accuracy. The majority of the Landsat data is available at Level 1T (precision and terrain corrected). The DEIMOS-1 and DMC-UK 2 imagery used in the production of the Cropland Data Layer is orthorectified to a radial root mean square error (RMSE) of approximately 10 meters.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: European Space Agency (ESA)
Title: SENTINEL-1A
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publisher: Copernicus - European Commission
Publication_Place: European Commission, Brussels (Belgium)
Publication_Date: 2020
Other_Citation_Details:
The ESA SENTINEL-1A satellite is a Synthetic Aperture Radar (SAR) sensor. The technical specifications used for this analysis include the following: interferometric wide (IW) swath (250 kilometer), Level-1 Ground Range Detected (GRD), 5x20 meter spatial resolution, and dual polarization (VV, VH). Additional information can be obtained at <http://www.esa.int/>. Refer to the 'Supplemental Information' Section of this metadata file for specific scenes used for this analysis. The imagery was resampled to 30 meters to match the Cropland Data Layer spatial resolution. The resample used cubic convolution, rigorous transformation.
Source_Scale_Denominator: 10 meter
Type_of_Source_Media: online download
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20200815
Ending_Date: 20200905
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: SENTINEL-1A
Source_Contribution: Raw data used in spectral signature analysis
Process_Step:
Process_Description:
The USDA NASS has developed methodology to monitor the impact of hurricanes on US agriculture in near real-time using remotely sensed data and geospatial techniques. The first test case is detailed in the following papers <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/2018/Hurricane-Michael/Flood_Monitoring_Methodology_Paper.pdf> and <https://www.nass.usda.gov/Research_and_Science/Cropland/docs/Boryan_IGARSS2018%20_Flood.pdf>. The methodology continues to evolve and has been modified for other natural disaster scenarios, such as flooding and fires. These data are not considered official NASS estimates.
Process_Date: 20200914
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section staff
Contact_Address:
Address_Type: mailing and physical address
Address: 1400 Independence Avenue, SW, Room 5029 South Building
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-2001
Country: USA
Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@usda.gov
Spatial_Data_Organization_Information:
Indirect_Spatial_Reference:
Portions of Arkansas, Louisiana, and Mississippi, United States of America.
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 27927
Column_Count: 20274
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name:
Albers Conical Equal Area as used by mrlc.gov (NLCD). The official Cropland Data Layer available at <https://nassgeodata.gmu.edu/CropScape/> includes the data in its native Albers Conical Equal Area coordinate system.
Albers_Conical_Equal_Area:
Standard_Parallel: 29.500000
Standard_Parallel: 45.500000
Longitude_of_Central_Meridian: -96.000000
Latitude_of_Projection_Origin: 23.000000
False_Easting: 0.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 30
Ordinate_Resolution: 30
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257223563
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
Note of Caution: There are several causes for inundation/anomalous water, which could potentially include flooding, saturated fields from rainfall, ponding, or intentionally flooded rice and aquaculture fields. Sentinel-1A SAR data was used for pre- and post-flood analysis to identify areas of inundation after the hurricane. Areas of inundation are then intersected with cropland as identified in the NASS Cropland Data Layer (CDL). The areas of inundation are also intersected with pasture/hay as identified in the CDL and the 2016 USGS National Land Cover Database (NLCD).
Entity_and_Attribute_Detail_Citation: 
 Data Dictionary: USDA, National Agricultural Statistics Service, Disaster Analysis for Flooding/Inundation Events

 Source: USDA, National Agricultural Statistics Service

 Raster
 Attribute Domain Values and Definitions: NO DATA, BACKGROUND 0

 Categorization Code   Land Cover
           "0"        Background
           "1"        Water
           "2"        Other
           "10"       Cropland
           "11"       Inundated Cropland
           "20"       Pasture Hay
           "21"       Inundated Pasture Hay
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA, NASS Customer Service
Contact_Person: USDA, NASS Customer Service Staff
Contact_Address:
Address_Type: mailing and physical address
Address: 1400 Independence Avenue, SW, Room 5038-S
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-9410
Country: USA
Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@usda.gov
Contact_Instructions:
Please visit the official website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/> for distribution details and free downloads. Distribution issues can be directed to the NASS Customer Service Hotline at 1-800-727-9540.
Resource_Description: USDA NASS Disaster Analysis 2020 Event - Hurricane Laura
Distribution_Liability:
Disclaimer: These data are not official NASS estimates. Users of the Disaster Analysis data and the Cropland Data Layer (CDL) are solely responsible for interpretations made from these products. The data are provided 'as is' and the USDA, NASS does not warrant results you may obtain using this information. Contact our staff at (HQ_RDD_GIB@usda.gov) if technical questions arise.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: IMG and/or GEOTIFF
Format_Version_Date: 2020
Format_Information_Content: IMG and/or GEOTIFF
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
<https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>
Access_Instructions:
The Disaster Analysis data is available online and free for download at <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>.
Fees:
The Disaster Analysis data is available online and free for download at <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>.
Ordering_Instructions:
The Disaster Analysis data is available online and free for download at <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>. Distribution issues can also be directed to the NASS Customer Service Hotline at 1-800-727-9540.
Technical_Prerequisites:
All of the data is available for viewing and downloading at the following website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>. Typically, for each disaster analysis event there will be graphics available for download in PDF and PNG file formats and an Assessment Report in a PDF format. The underlying data that the graphics and assessment reports are based on is also available for download within WinZIP files in an IMG and/or GeoTIFF file format which can be opened using ESRI ArcGIS software.
Metadata_Reference_Information:
Metadata_Date: 20200905
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section Staff
Contact_Address:
Address_Type: mailing and physical address
Address: 1400 Independence Avenue, SW, Room 5029 South Building
City: Washington
State_or_Province: District of Columbia
Postal_Code: 20250-2001
Country: USA
Contact_Voice_Telephone: 800-727-9540
Contact_Facsimile_Telephone: 855-493-0447
Contact_Electronic_Mail_Address: HQ_RDD_GIB@usda.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Access_Constraints: No restrictions on the distribution or use of the metadata file
Metadata_Use_Constraints: No restrictions on the distribution or use of the metadata file
Generated by mp version 2.9.50 on Mon Sep 14 15:05:05 2020