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)
Title: USDA NASS Disaster Analysis 2018 Event - Oregon Substation Fire
Edition: USDA NASS Disaster Analysis 2018 Event - Oregon Substation Fire
Geospatial_Data_Presentation_Form: vector digital data
USDA, NASS Marketing and Information Services Office, Washington, D.C.
Publisher: USDA, NASS
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>.
The Oregon Substation Fire occurred from July 17, 2018 to July 22, 2018 in Wasco and Sherman Counties, Oregon (incident overview). The United States Department of Agriculture's National Agricultural Statistics Service (NASS) responded to inquiries regarding the extent of cropland affected by the fire in near real-time. Active fire location data from USDA Forest Service Remote Sensing Applications Center, along with the NASS Cropland Data Layer and daily MODIS Terra imagery from the Land Processes Distributed Active Archive Center (LP DAAC), were used to identify the fire burn scar. The official website <https://www.nass.usda.gov/Research_and_Science/Disaster-Analysis/> provides a report with estimates of acres within the fire perimeter based on the 2017 Cropland Data Layer and is available for external release and download. These data are not official NASS estimates.
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.
LIST OF INPUTS
Burn scar data prepared by USDA NASS.
Active Fire Location Data July 17 - 25, 2018
Accessed July 25, 2018
Obtained From: USDA Forest Service Remote Sensing Applications Center:
Daily MODIS Terra Image Server
Accessed July 25, 2018
Obtained From: http://modis.arcgis.com/arcgis/rest/services/MODIS/ImageServer
Images analyzed: July 17 and July 24, 2018
Land Cover Inputs
NASS 2017 Cropland Data Layer (planted acres)
Obtained From: CropScape: https://nassgeodata.gmu.edu/CropScape/
Disclaimer: These data are not official NASS estimates.
Currentness_Reference: July 2018
Maintenance_and_Update_Frequency: None planned
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: farming, 001
Theme_Keyword: environment, 007
Theme_Keyword: imageryBaseMapsEarthCover, 010
Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Science Keywords
Earth Science > Biosphere > Terrestrial Ecosystems > Agricultural Lands
Theme_Keyword: crop cover
Theme_Keyword: land cover
Theme_Keyword: crop estimates
Theme_Keyword: UK-DMC 2
Theme_Keyword: ISRO ResourceSat-2 LISS-3
Theme_Keyword: ESA SENTINEL-2
Place_Keyword_Thesaurus: Global Change Master Directory (GCMD) Location Keywords
Place_Keyword: Continent > North America > United States of America > Oregon
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.
Data_Set_Credit: USDA, National Agricultural Statistics Service
Contact_Organization: USDA, NASS, Spatial Analysis Research Section
Contact_Person: USDA, NASS, Spatial Analysis Research Section staff
Address_Type: mailing and physical address
Address: 1400 Independence Avenue, SW, Room 5029 South Building
State_or_Province: District of Columbia
Microsoft Windows 7 Enterprise; ERDAS Imagine Version 2016 <https://www.hexagongeospatial.com/>; ESRI ArcGIS Version 10.3.1 <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.