USDA NASS Disaster Analysis 2018 Event

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: 20181023
Title: USDA NASS Disaster Analysis 2018 Event - Hurricane Michael
Edition: USDA NASS Disaster Analysis 2018 Event - Hurricane Michael
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:

Hurricane Michael impacted areas of Florida, Georgia, Alabama, South Carolina and North Carolina, United States from October 10 to 12, 2018. The United States Department of Agriculture's National Agricultural Statistics Service (NASS) responded to inquiries regarding the extent of flooding from Hurricane Michael over agricultural land in near real-time. Consequently, a recently developed flood mapping procedure, based on Copernicus Sentinel-1 Synthetic Aperture Radar data and the NASS Cropland Data Layer was implemented in response to the flood event. The data, maps, and reports available on the official website identify the extent of inundation over cropland and pasture based on this analysis. The crop inundation layers are publically available for download at <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/>. The study area consists of portions of Alabama, Georgia and Florida, United States of America. 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 and 1B Data: interferometric wide (IW) swath (250 kilometer),
  Level-1 Ground Range Detected (GRD), 5x20 meter spatial resolution, and
  dual polarization (VV, VH)

  Sentinel 1A Data: extra-Wide (EW) swath (400 kilometer), Level-1
  Ground Range Detected (GRD), 20 x 40 meter spatial resolution, and dual
  polarization ( VV and VH)

  Imagery Download: Copernicus Open Access Hub
  https://scihub.copernicus.eu/dhus/

  Pre-Flood Imagery Input Files:
  S1A_IW_GRDH_1SDV_20181002T235344_20181002T235413_023964_029E07_0718
  S1A_IW_GRDH_1SDV_20181002T235413_20181002T235438_023964_029E07_F2A5
  S1A_IW_GRDH_1SDV_20181002T235438_20181002T235503_023964_029E07_C33B
  S1A_IW_GRDH_1SDV_20180927T234535_20180927T234604_023891_029B92_5B20
  S1A_IW_GRDH_1SDV_20180927T234604_20180927T234629_023891_029B92_3F0E
  S1A_IW_GRDH_1SDV_20180927T234629_20180927T234654_023891_029B92_D9F7
  S1A_IW_GRDH_1SDV_20181004T233641_20181004T233706_023993_029F05_CEE6
  S1A_IW_GRDH_1SDV_20181004T233706_20181004T233731_023993_029F05_9DDB
  S1A_IW_GRDH_1SDV_20181004T233731_20181004T233756_023993_029F05_00E1
  S1A_IW_GRDH_1SDV_20181004T233756_20181004T233821_023993_029F05_CCB4
  S1A_IW_GRDH_1SDV_20181004T233821_20181004T233846_023993_029F05_1B2A
  S1A_IW_GRDH_1SDV_20180929T232756_20180929T232821_023920_029C84_818A
  S1A_IW_GRDH_1SDV_20180929T232821_20180929T232846_023920_029C84_DADF
  S1A_IW_GRDH_1SDV_20180929T232846_20180929T232911_023920_029C84_75CE
  S1A_IW_GRDH_1SDV_20180929T232911_20180929T232936_023920_029C84_93E1
  S1A_IW_GRDH_1SDV_20180929T232936_20180929T233001_023920_029C84_2BE1
  S1A_IW_GRDH_1SDV_20180929T233001_20180929T233026_023920_029C84_F119
  S1A_IW_GRDH_1SDV_20181001T231350_20181001T231415_023949_029D80_209B
  S1A_IW_GRDH_1SDV_20181001T231415_20181001T231440_023949_029D80_240D
  S1A_IW_GRDH_1SDV_20180924T232140_20180924T232205_023847_029A31_F02E
  S1A_IW_GRDH_1SDV_20180924T232205_20180924T232230_023847_029A31_12E4
  S1A_IW_GRDH_1SDV_20180924T232230_20180924T232255_023847_029A31_FD5C

  Post-Flood Imagery Inputs Files:
  S1A_EW_GRDM_1SDV_20181010T114907_20181010T115011_024073_02A192_0011
  S1A_IW_GRDH_1SDV_20181012T113212_20181012T113237_024102_02A289_88C8
  S1A_IW_GRDH_1SDV_20181012T113237_20181012T113302_024102_02A289_925F
  S1A_IW_GRDH_1SDV_20181012T113302_20181012T113327_024102_02A289_EF55
  S1A_IW_GRDH_1SDV_20181012T113327_20181012T113352_024102_02A289_447A
  S1A_IW_GRDH_1SDV_20181012T113352_20181012T113417_024102_02A289_4973
  S1B_IW_GRDH_1SDV_20181013T112310_20181013T112339_013133_018444_A2DB
  S1B_IW_GRDH_1SDV_20181013T112339_20181013T112404_013133_018444_4B87
  S1B_IW_GRDH_1SDV_20181013T112404_20181013T112429_013133_018444_F2EE
  S1B_IW_GRDH_1SDV_20181013T112429_20181013T112454_013133_018444_AB58
  S1B_IW_GRDH_1SDV_20181013T112454_20181013T112519_013133_018444_ABD8
  S1B_IW_GRDH_1SDV_20181013T112519_20181013T112544_013133_018444_B6CA
  S1B_IW_GRDH_1SDV_20181013T112544_20181013T112614_013133_018444_35E9
  S1B_IW_GRDH_1SDV_20181011T114046_20181011T114115_013104_018364_C3C1
  S1B_IW_GRDH_1SDV_20181011T114115_20181011T114132_013104_018364_BB7D
  S1A_IW_GRDH_1SDV_20181013T231351_20181013T231416_024124_02A33B_4653
  S1A_IW_GRDH_1SDV_20181013T231416_20181013T231441_024124_02A33B_A10C

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

  NASS 2017 Cultivated Layer (planted acres)
  Obtained From: https://www.nass.usda.gov/Research_and_Science/Cropland/Release/index.php

  NASS 2017 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: 20180924
Ending_Date: 20181013

Currentness_Reference: October 2018

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -89.1631
East_Bounding_Coordinate: -81.8531
North_Bounding_Coordinate: 34.7609
South_Bounding_Coordinate: 26.1130

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 > Alabama
Place_Keyword: Continent > North America > United States of America > Florida
Place_Keyword: Continent > North America > United States of America > Georgia

Place:

Place_Keyword_Thesaurus: None
Place_Keyword: Alabama
Place_Keyword: Florida
Place_Keyword: Georgia
Place_Keyword: AL
Place_Keyword: FL
Place_Keyword: GA

Temporal:

Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2018

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 7.0 <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: 2018
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: 20180924
Ending_Date: 20181013

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: 20181023
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:

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 Alabama, Georgia and Florida, United States of America.

Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:

Raster_Object_Type: Pixel
Row_Count: 29207
Column_Count: 26731

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 2011 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 2018 Event - Hurricane Michael
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: 2018
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.

USDA NASS Disaster Analysis 2018 Event - Hurricane Michael

Metadata: