Johnston Draw (Idaho) High Resolution Pre-Fire Vegetation Map 2023
The variability of vegetation in rangelands can be over generalized in spatial representation and vegetation types mapped by moderate resolution vegetation maps. A high resolution (<1 meter), site specific, vegetation map may better represent the diversity and spatial complexity of rangelands – a necessity for analyzing pre-fire conditions. We pansharpened two 8-band VNIR Worldview 2 scenes to map pre-fire vegetation in Johnston Draw (1.8 square kilometers) in the Reynolds Creek Experimental Watershed in Southwest Idaho. The two Worldview 2 scenes represent peak greenness (June 14, 2023) and pre-fire (September 23, 2023) conditions with spatial resolutions of 50 centimeters and 42 centimeters, respectively. A prescribed fire burned the area on October 6, 2023. We trained a pixel based random forest classifier to map 10 site specific vegetation classes at a 50-centimeter spatial resolution. We applied a majority filter to remove speckling. Map accuracy was 83.3% when validated using a test set of 54, 30-meter diameter, plots selected to represent the following dominant vegetation types: deciduous/riparian (classes were collapsed into a single class for validation), living juniper, dead juniper, sagebrush, mixed low sage and bunchgrass, bitterbrush, and annual grasses. Barren and water classes were not validated. Training data was developed through a combination of site visit based knowledge and a training set of 30-meter diameter dominant vegetation class plots. The 1.5-billion-dollar cost of fire prevention, suppression, and restoration is stretched thin over the vast area of wildfire occurrence, where site-specific high-resolution vegetation maps are essential to mitigate fire potential and address post fire recovery. In addition to the pre-fire vegetation map a post fire burn product will also be submitted to Ag Data Commons and the related materials will be updated to reflect these complimentary submissions.
Resources
7 resources available
-
Geodata ISO 19139 metadata
XML -
JohnstonDrawVegetationMap2023.tfw
TFW -
JohnstonDrawVegetationMap2023.tif
TIF -
JohnstonDrawVegetationMap2023.tif.aux.xml
XML -
JohnstonDrawVegetationMap2023.tif.ovr
OVR -
JohnstonDrawVegetationMap2023.tif.vat.cpg
CPG -
JohnstonDrawVegetationMap2023.tif.vat.dbf
DBF
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[ "005:18" ] |
| contactPoint |
{ "fn": "Woodruff, Craig, D", "hasEmail": "mailto:craig.woodruff@usda.gov" } |
| description | <p dir="ltr">The variability of vegetation in rangelands can be over generalized in spatial representation and vegetation types mapped by moderate resolution vegetation maps. A high resolution (<1 meter), site specific, vegetation map may better represent the diversity and spatial complexity of rangelands – a necessity for analyzing pre-fire conditions. We pansharpened two 8-band VNIR Worldview 2 scenes to map pre-fire vegetation in Johnston Draw (1.8 square kilometers) in the Reynolds Creek Experimental Watershed in Southwest Idaho. The two Worldview 2 scenes represent peak greenness (June 14, 2023) and pre-fire (September 23, 2023) conditions with spatial resolutions of 50 centimeters and 42 centimeters, respectively. A prescribed fire burned the area on October 6, 2023. We trained a pixel based random forest classifier to map 10 site specific vegetation classes at a 50-centimeter spatial resolution. We applied a majority filter to remove speckling. Map accuracy was 83.3% when validated using a test set of 54, 30-meter diameter, plots selected to represent the following dominant vegetation types: deciduous/riparian (classes were collapsed into a single class for validation), living juniper, dead juniper, sagebrush, mixed low sage and bunchgrass, bitterbrush, and annual grasses. Barren and water classes were not validated. Training data was developed through a combination of site visit based knowledge and a training set of 30-meter diameter dominant vegetation class plots. The 1.5-billion-dollar cost of fire prevention, suppression, and restoration is stretched thin over the vast area of wildfire occurrence, where site-specific high-resolution vegetation maps are essential to mitigate fire potential and address post fire recovery. In addition to the pre-fire vegetation map a post fire burn product will also be submitted to Ag Data Commons and the related materials will be updated to reflect these complimentary submissions.</p> |
| distribution |
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| identifier | 10.15482/USDA.ADC/25684290.v1 |
| keyword |
[ "High Resolution", "Juniper Treatment", "Prescribed fire", "RANGELANDS", "Random Forest", "Remote Sensing", "Vegetation mapping" ] |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2025-11-22 |
| programCode |
[ "005:040" ] |
| publisher |
{ "name": "Agricultural Research Service", "@type": "org:Organization" } |
| spatial |
"{"type": "Polygon", "coordinates": [[[-116.8034633, 43.1345622], [-116.8036544, 43.1195483], [-116.7739607, 43.1193418], [-116.7737624, 43.1343556], [-116.8034633, 43.1345622]]]}"
|
| temporal | 2023-06-14/2023-09-23 |
| theme |
[ "geospatial" ] |
| title | Johnston Draw (Idaho) High Resolution Pre-Fire Vegetation Map 2023 |
