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imagery/glennsferry_2022 (ImageServer)

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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: Initial Extent: Full Extent: Pixel Size X: 0.009999808547585164

Pixel Size Y: 0.00999980854758393

Band Count: 3

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "A No-Op Function.", "help": "" }]}

Mensuration Capabilities: Basic

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

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

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 80

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 20000

Max Image Width: 25000

Max Download Image Count: 30000

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Copy: null

Allow Analysis: null

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Key Properties   Legend   Raster Function Infos

Supported Operations:   Export Image   Query   Identify   Download Rasters   Measure   Compute Histograms   Compute Statistics Histograms   Get Samples   Compute Class Statistics   Query Boundary   Compute Pixel Location   Validate   Project