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Service Description: This collection contains 1 2022 1-centimeter RGB (red, green, blue) orthorectified image of an area near Glenns Ferry, Idaho. These data were acquired on June 10, 2022. These data are sourced from US NSF Idaho EPSCOR.These data are part of a larger collection (README.txt) of UAS imagery data and data products which includes raw RGB (red, green, blue) and multispectral (5-band) digital imagery and processed data products collected 2022-06-10 at the 2007-COLD wildfire boundary (FireCode: ID4311811531420070801, Welty and Jeffries 2020) due east of Mountain Home Idaho and due north of Glenns Ferry Idaho, approximately one hour southeast of Boise Idaho off Interstate-84. We used a DJI Mavic 2 Pro with Hasselblad 20MP sensor (RGB) with Map Pilot Pro software and DJI Phantom 4 Multispectral sensor (5 band) with DJI GS Pro software to capture imagery over the area of interest. The RGB (Red, Green, Blue) imagery was collected in a crossgrid pattern (20 degree offset) at 44m above ground level; the resulting imagery have a ground resolution of 1cm/pixel. The multispectral imagery was collected at 38m above ground level (no crossgrid pattern); the resulting imagery have a ground resolution of 2cm/pixel. The images were processed and the products were created in OpenDroneMap version 2.8.8. All products are georectified and in WGS84 UTM Zone 11 N.Recommended Citation:Marie, V., Zaiats, A., Roser, A., Olsoy, P., Delparte, D., Wickersham, R., & Caughlin, T. T. (2023). Digital aerial imagery (RGB and multispectral) from the 2007-COLD wildfire boundary near Glenns Ferry Idaho USA-2022 [Data set]. University of Idaho. https://doi.org/10.7923/RAGG-TV25Ancillary ODM Workflow:Marie, V., Zaiats, A., Wickersham, R., & Caughlin, T. T. (2023). Open Drone Map: Structure-from-Motion Workflow (Version 1.0). University of Idaho. https://doi.org/10.7923/92HF-GP09Ancillary Fire Dataset:Welty, J.L., and Jeffries, M.I., 2020, Combined wildfire datasets for the United States and certain territories, 1878-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9Z2VVRTFunding:US National Science Foundation Idaho EPSCoR, Award: OIA-1757324US National Science Foundation, Award: BIO-2207158National Aeronautics and Space Administration, Award: 80NSSC21K1638
Name: imagery/glennsferry_2022
Description: This collection contains 1 2022 1-centimeter RGB (red, green, blue) orthorectified image of an area near Glenns Ferry, Idaho. These data were acquired on June 10, 2022. These data are sourced from US NSF Idaho EPSCOR.These data are part of a larger collection (README.txt) of UAS imagery data and data products which includes raw RGB (red, green, blue) and multispectral (5-band) digital imagery and processed data products collected 2022-06-10 at the 2007-COLD wildfire boundary (FireCode: ID4311811531420070801, Welty and Jeffries 2020) due east of Mountain Home Idaho and due north of Glenns Ferry Idaho, approximately one hour southeast of Boise Idaho off Interstate-84. We used a DJI Mavic 2 Pro with Hasselblad 20MP sensor (RGB) with Map Pilot Pro software and DJI Phantom 4 Multispectral sensor (5 band) with DJI GS Pro software to capture imagery over the area of interest. The RGB (Red, Green, Blue) imagery was collected in a crossgrid pattern (20 degree offset) at 44m above ground level; the resulting imagery have a ground resolution of 1cm/pixel. The multispectral imagery was collected at 38m above ground level (no crossgrid pattern); the resulting imagery have a ground resolution of 2cm/pixel. The images were processed and the products were created in OpenDroneMap version 2.8.8. All products are georectified and in WGS84 UTM Zone 11 N.Recommended Citation:Marie, V., Zaiats, A., Roser, A., Olsoy, P., Delparte, D., Wickersham, R., & Caughlin, T. T. (2023). Digital aerial imagery (RGB and multispectral) from the 2007-COLD wildfire boundary near Glenns Ferry Idaho USA-2022 [Data set]. University of Idaho. https://doi.org/10.7923/RAGG-TV25Ancillary ODM Workflow:Marie, V., Zaiats, A., Wickersham, R., & Caughlin, T. T. (2023). Open Drone Map: Structure-from-Motion Workflow (Version 1.0). University of Idaho. https://doi.org/10.7923/92HF-GP09Ancillary Fire Dataset:Welty, J.L., and Jeffries, M.I., 2020, Combined wildfire datasets for the United States and certain territories, 1878-2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9Z2VVRTFunding:US National Science Foundation Idaho EPSCoR, Award: OIA-1757324US National Science Foundation, Award: BIO-2207158National Aeronautics and Space Administration, Award: 80NSSC21K1638
Single Fused Map Cache: false
Extent:
XMin: 638041.0886247626
YMin: 4772114.284497496
XMax: 638234.5849201584
YMax: 4772334.030290329
Spatial Reference: 32611
(32611)
Initial Extent:
XMin: 638041.0886247626
YMin: 4772114.284497496
XMax: 638234.5849201584
YMax: 4772334.030290329
Spatial Reference: 32611
(32611)
Full Extent:
XMin: 638041.0886247626
YMin: 4772114.284497496
XMax: 638234.5849201584
YMax: 4772334.030290329
Spatial Reference: 32611
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Pixel Size X: 0.009999808547585164
Pixel Size Y: 0.00999980854758393
Band Count: 3
Pixel Type: U8
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Copyright Text: Creator(s): 1. Valorie Marie Unique identifier: https://orcid.org/0000-0003-3051-4312
Affiliation(s): Boise State University
2. Andrii Zaiats
Unique Identifier: https://orcid.org/0000-0001-8978-4152
Affiliation(s): Boise State University 3. Anna Roser
Unique identifier: https://orcid.org/0000-0002-5184-2916
Affiliation(s): Boise State University
4. Peter Olsoy
Unique identifier: https://orcid.org/0000-0002-8785-0459
Affiliation(s): Boise State University
5. Donna Delparte
Unique identifier: https://orcid.org/0000-0002-9107-5117 Affiliation(s): Idaho State University
6. Ryan Wickersham
Unique identifier: https://orcid.org/0000-0001-6957-8706
Affiliation(s): Boise State University
7. Trevor Caughlin Unique identifier: https://orcid.org/0000-0001-6752-2055
Affiliation(s): Boise State University
Other Contributor(s): 1. Trevor Caughlin
Unique identifier: https://orcid.org/0000-0001-6752-2055
Affiliation(s): Boise State University
Role: Project leader
2. Andrew Wright Child
Unique identifier: https://orcid.org/0000-0001-6666-0739
Affiliation(s): University of Idaho
Role: Data manager
Service Data Type: esriImageServiceDataTypeProcessed
Min Values: 59, 48, 33
Max Values: 255, 255, 254
Mean Values: 196.89096922329827, 180.88673344544353, 126.90427097357917
Standard Deviation Values: 21.303942555011325, 18.68305105799594, 17.415200480497585
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Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
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Mosaic Operator: First
Default Compression Quality: 80
Default Resampling Method: Bilinear
Max Record Count: 1000
Max Image Height: 20000
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Max Download Image Count: 30000
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Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
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Supports Advanced Queries: true
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
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Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
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Histograms
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Legend
Raster Function Infos
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Query
Identify
Download Rasters
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project