USDA NASS Disaster Analysis 2019 Event - Missouri River Long-Term Flood Analysis

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: 20200116
Title:
USDA NASS Disaster Analysis 2019 Event - Missouri River Long-Term Flood Analysis
Edition:
USDA NASS Disaster Analysis 2019 Event - Missouri River Long-Term Flood Analysis
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:
During the spring of 2019, the Missouri River Valley experienced heavy spring rains that breached several levies. These prolonged weather events presented an ongoing struggle to understand how many acres of agricultural land were affected in Kansas and Nebraska along the Missouri River. Multi-month flooding analysis was performed to compare the effects of these precipitation events. Using a Copernicus Sentinel-1 Synthetic Aperture Radar base image dated in October of the previous year, NASS determined inundated agricultural areas (as defined by the 2018 NASS Cropland Data Layer) for five dates ranging from April 4, 2019 to June 27, 2019. The data and maps below were shared with the State Emergency Boards in Kansas and Nebraska. The inundation raster data layer represents croplands, inundated cropland,pasture/hay, inundated pasture/hay, water bodies, and other land. The inundation data layer, maps and metadata are freely available to the public at the official website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>. 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 Imagery Input Files (October 6, 2018)
  S1A_IW_GRDH_1SDV_20181006T002102_20181006T002127_024008_029F7D_884C
  S1A_IW_GRDH_1SDV_20181006T002127_20181006T002152_024008_029F7D_EEB0
  S1A_IW_GRDH_1SDV_20181006T002152_20181006T002216_024008_029F7D_3F01

  Post-Flood Imagery Inputs Files (April 4, 2019)
  S1A_IW_GRDH_1SDV_20190404T002059_20190404T002124_026633_02FCE5_3139
  S1A_IW_GRDH_1SDV_20190404T002124_20190404T002149_026633_02FCE5_A8E7
  S1A_IW_GRDH_1SDV_20190404T002149_20190404T002214_026633_02FCE5_9FF0

  Post-Flood Imagery Inputs Files (May 10, 2019)
  S1A_IW_GRDH_1SDV_20190510T002100_20190510T002125_027158_030FB5_048B
  S1A_IW_GRDH_1SDV_20190510T002125_20190510T002150_027158_030FB5_2865
  S1A_IW_GRDH_1SDV_20190510T002150_20190510T002215_027158_030FB5_3809

  Post-Flood Imagery Inputs Files (May 22, 2019)
  S1A_IW_GRDH_1SDV_20190522T002101_20190522T002126_027333_031530_0129
  S1A_IW_GRDH_1SDV_20190522T002126_20190522T002151_027333_031530_6EB8
  S1A_IW_GRDH_1SDV_20190522T002151_20190522T002216_027333_031530_B38F

  Post-Flood Imagery Inputs Files (June 15, 2019)
  S1A_IW_GRDH_1SDV_20190615T002102_20190615T002127_027683_031FEA_51F8
  S1A_IW_GRDH_1SDV_20190615T002127_20190615T002152_027683_031FEA_08F7
  S1A_IW_GRDH_1SDV_20190615T002152_20190615T002217_027683_031FEA_E6C8

  Post-Flood Imagery Inputs Files (June 27, 2019)
  S1A_IW_GRDH_1SDV_20190627T002103_20190627T002128_027858_032523_3E0C
  S1A_IW_GRDH_1SDV_20190627T002128_20190627T002153_027858_032523_5DD3
  S1A_IW_GRDH_1SDV_20190627T002153_20190627T002218_027858_032523_97BB

  --------------------
  Land Cover Inputs

  NASS 2018 Cultivated Layer (planted acres)
  Obtained From: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php

  NASS 2018 Cropland Data Layer (planted acres)
  Obtained From: CropScape: https://nassgeodata.gmu.edu/CropScape/

  Disclaimer: These data are not official NASS estimates.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20181006
Ending_Date: 20190627
Currentness_Reference: Spring of 2019
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -98.5503
East_Bounding_Coordinate: -94.3364
North_Bounding_Coordinate: 43.0264
South_Bounding_Coordinate: 38.1248
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 > Kansas
Place_Keyword: Continent > North America > United States of America > Nebraska
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Kansas
Place_Keyword: Nebraska
Place_Keyword: KS
Place_Keyword: NE
Temporal:
Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2019
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 2016 <https://www.hexagongeospatial.com/>; ESRI ArcGIS Version 10.3.1 <https://www.esri.com/>; European Space Agency (ESA) Sentinel Application Platform (SNAP) Toolbox 6.0 <http://www.esa.int/>. SNAP is used in the preprocessing of the Sentinel-1A radar data. 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.
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: 2019
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: 20181006
Ending_Date: 20190627
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: 20200116
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 Kansas and Nebraska, United States of America.
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 18346
Column_Count: 11706
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 2019 Event - Missouri River Long-Term Flood Analysis
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: 2019
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: 20200401
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 Tue Mar 31 23:22:44 2020