USDA NASS Disaster Analysis 2022 Event - Hurricane Fiona Puerto Rico Inudation

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: 20220820
Title:

USDA NASS Disaster Analysis 2022 Event - Hurricane Fiona Puerto Rico Inudation - September 2022

Edition:

USDA NASS Disaster Analysis 2022 Event - Hurricane Fiona Puerto Rico Inundation- September 2022

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 Fiona was a powerful hurricane that caused widespread damage over portions of the Caribbean and Eastern Canada in mid-September 2022. It made landfall in Puerto Rico on September 16, 2022. The United States Department of Agriculture National Agricultural Statistics Service responded to inquiries regarding damage to agricultural land in Puerto Rico. Analysis was completed using several data products, including multiple Sentinel-1A Synthetic Aperture Radar (SAR) data dated between September 19-26, 2022. PlanetScope images acquired before and after the event and FEMA WAZE Alert for Puerto Rico Public data were used for validation. For this event, inundation raster files for the areas of interest are included for download. 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. 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

  --------------------

  Inundation Data

  Raster Zip File: PuertoRico_Inundation_Raster_20220929.zip
  Inundation derived from Sentinel-1A Synthetic Aperture Radar (SAR) data dated September 19-26, 2022.
  Value 0 = NoData
  Value 1 = No Inundation
  Value 2 = Inundated Other Land
  Value 3 = Inundated Cropland

  --------------------

  Validation Data

  Reported weather hazards due to flooding between 9/18/2022 and 9/28/2022 were downloaded from FEMA WAZE Alerts for Puerto Rico public web map application.

  Pre and post disaster imagery included PlanetScope Surface reflectance - 4 band scenes captured in late August through late September 2022 (8/29, 9/2, 9/8 - 9/10, 9/12 - 9/14, 9/21 - 9/25).


  --------------------

  Land Cover Inputs

  USDA NASS 2022 Puerto Rico Area Frame
  Stratum 10 = >25% cultivated

  --------------------

  Official NASS Estimates

  2017 Census of Agriculture: Puerto Rico (2018) Island and Regional Data issued in June 2020.
  Table 2: Farms, Land in Farms, and Land Use: 2018 and 2012 (page 23)
  Obtained From: https://www.nass.usda.gov/Publications/AgCensus/2017/Full_Report/Outlying_Areas/Puerto_Rico/prv1.pdf

Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 20220829
Ending_Date: 20220926

Currentness_Reference: September 2022

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -67.0741
East_Bounding_Coordinate: -65.8478
North_Bounding_Coordinate: 18.9397
South_Bounding_Coordinate: 17.4927

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: ESA SENTINEL-1
Theme_Keyword: PlanetScope
Theme_Keyword: FEMA WAZE

Place:

Place_Keyword_Thesaurus: Global Change Master Directory (GCMD) Location Keywords
Place_Keyword:

Ocean > Atlantic Ocean > North Atlantic Ocean > Caribbean Sea > Puerto Rico

Place:

Place_Keyword_Thesaurus: None
Place_Keyword: Puerto Rico

Temporal:

Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 2022

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: SM.NASS.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 10 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. Some analysis is conducted within Google Earth Engine (GEE). The use of GEE is 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).

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator: European Space Agency (ESA)
Publication_Date: 2022
Title: SENTINEL-1A
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:

Publication_Place: European Commission, Brussels (Belgium)
Publisher: Copernicus - European Commission

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: 20220801
Ending_Date: 20220801

Source_Currentness_Reference: ground condition

Source_Citation_Abbreviation: SENTINEL-1A
Source_Contribution: Raw data used in inundation spectral signature analysis

Source_Information:

Source_Citation:

Citation_Information:

Originator: Planet Labs
Publication_Date: 2022
Title: PlanetScope
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:

Publication_Place: San Francisco, California (USA)
Publisher: Planet Labs

Other_Citation_Details:

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com.

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: 20220829
Ending_Date: 20220925

Source_Currentness_Reference: ground condition

Source_Citation_Abbreviation: PlanetScope
Source_Contribution: Raw data used in visual validation

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 as well as modifying the workflow to be conducted within Google Earth Engine. These data are not considered official NASS estimates.

Process_Date: 20221003
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: SM.NASS.RDD.GIB@usda.gov

Spatial_Data_Organization_Information:

Indirect_Spatial_Reference: Puerto Rico
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:

Raster_Object_Type: Pixel
Row_Count: 3524
Column_Count: 5852

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: Albers Conical Equal Area as used by mrlc.gov (NLCD)
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. Areas of inundation are then intersected with cropland as identified in the NASS Cropland Data Layer (CDL).

Entity_and_Attribute_Detail_Citation:

 Data Dictionary: USDA NASS Disaster Analysis 2022 Event - Hurricane Fiona Puerto Rico Inundation- September 2022

 Source: USDA, National Agricultural Statistics Service

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

 Categorization Code   Name
           "0"        NoData
           "1"        No Inundation
           "2"        Inundated Other Land
           "3"        Inundated Cropland

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: SM.NASS.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 2022 Event - Hurricane Fiona Puerto Rico Inundation - September 2022

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 (SM.NASS.RDD.GIB@usda.gov) if technical questions arise.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: GEOTIFF
Format_Version_Date: 2022
Format_Information_Content: 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 a GeoTIFF file format which can be opened using ESRI ArcGIS software.

USDA NASS Disaster Analysis 2022 Event - Hurricane Fiona Puerto Rico Inudation - September 2022

Metadata: