ImageryServices/TLC_Imagery2021_CIR_D

View In: ArcGIS JavaScript ArcGIS Online Map Viewer ArcGIS Earth ArcMap

View Footprint In: ArcGIS Online Map Viewer

Service Description: Our 2021 high-resolution (0.5 ft. per pixel) imagery is available in Natural Color (Red, Green, Blue) and Color Infrared. The aerial imagery was captured by our vendor Dewberry during January 5 - 18, 2021. Prior to delivery, the vendor geometrically corrected (orthorectified) the imagery such that its scale is uniform and any distortions have been corrected. This process allows for an accurate representation of the earth's surface that can be used to measure true distances and extract GIS features. After delivery, TLCGIS staff performed additional quality control and enhancement processes to prepare the imagery for publication. This Color Infrared (CIR) imagery more clearly shows natural features that often do not show up well in RGB imagery. A band of infrared imagery is converted to a visible spectrum so we can see it. CIR imagery is useful to environmental scientists and others who need to identify features such as wetlands. This imagery can also help experts determine the type and the health of vegetation. This imagery is also high-resolution. Acquisition Information: Dewberry Inc. subcontracted Digital Aerial Solutions (DAS) to acquire approximately 787 square miles of 4-band digital stereo aerial imagery in Leon County, Florida in January 2021 using a LEICA ADS100 aerial mapping camera. DAS performed the aerial triangulation and orthorectification to produce 0.5 foot pixel resolution digital orthophotos. Dewberry collected surveyed ground control points that were used in the aerial triangulation process. The data were formatted according to the Florida Division of Emergency Management (FDEM) tile naming convention with each tile covering an area of 5,000 by 5,000 feet. A total of 876 ortho tiles in GeoTiff format were produced for the project. This dataset is part of a regularly schedule update of lidar and digital orthophotography products.

Name: ImageryServices/TLC_Imagery2021_CIR_D_WM

Description: Our 2021 high-resolution (0.5 ft. per pixel) imagery is available in Natural Color (Red, Green, Blue) and Color Infrared. The aerial imagery was captured by our vendor Dewberry during January 5 - 18, 2021. Prior to delivery, the vendor geometrically corrected (orthorectified) the imagery such that its scale is uniform and any distortions have been corrected. This process allows for an accurate representation of the earth's surface that can be used to measure true distances and extract GIS features. After delivery, TLCGIS staff performed additional quality control and enhancement processes to prepare the imagery for publication. This Color Infrared (CIR) imagery more clearly shows natural features that often do not show up well in RGB imagery. A band of infrared imagery is converted to a visible spectrum so we can see it. CIR imagery is useful to environmental scientists and others who need to identify features such as wetlands. This imagery can also help experts determine the type and the health of vegetation. This imagery is also high-resolution. Acquisition Information: Dewberry Inc. subcontracted Digital Aerial Solutions (DAS) to acquire approximately 787 square miles of 4-band digital stereo aerial imagery in Leon County, Florida in January 2021 using a LEICA ADS100 aerial mapping camera. DAS performed the aerial triangulation and orthorectification to produce 0.5 foot pixel resolution digital orthophotos. Dewberry collected surveyed ground control points that were used in the aerial triangulation process. The data were formatted according to the Florida Division of Emergency Management (FDEM) tile naming convention with each tile covering an area of 5,000 by 5,000 feet. A total of 876 ortho tiles in GeoTiff format were produced for the project. This dataset is part of a regularly schedule update of lidar and digital orthophotography products.

Single Fused Map Cache: false

Extent:

Initial Extent:

Full Extent:

Pixel Size X: 0.15240030480061104

Pixel Size Y: 0.15240030480060965

Band Count: 3

Pixel Type: U8

RasterFunction Infos: {"rasterFunctionInfos": [{ "name": "None", "description": "", "help": "" }]}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text:

Service Data Type: esriImageServiceDataTypeProcessed

Min Values: 0, 0, 0

Max Values: 255, 255, 255

Mean Values: 139.46202348756262, 68.41719277993238, 65.81766720089249

Standard Deviation Values: 38.146744389366994, 25.04680203747808, 21.37685841326105

Object ID Field: OBJECTID

Fields:

OBJECTID ( type: esriFieldTypeOID, alias: OBJECTID )
Shape ( type: esriFieldTypeGeometry, alias: Shape )
Name ( type: esriFieldTypeString, alias: Name, length: 200 )
MinPS ( type: esriFieldTypeDouble, alias: MinPS )
MaxPS ( type: esriFieldTypeDouble, alias: MaxPS )
LowPS ( type: esriFieldTypeDouble, alias: LowPS )
HighPS ( type: esriFieldTypeDouble, alias: HighPS )
Category ( type: esriFieldTypeInteger, alias: Category , Coded Values: [0: Unknown] , [1: Primary] , [2: Overview] , ...5 more... )
Tag ( type: esriFieldTypeString, alias: Tag, length: 100 )
GroupName ( type: esriFieldTypeString, alias: GroupName, length: 100 )
ProductName ( type: esriFieldTypeString, alias: ProductName, length: 100 )
CenterX ( type: esriFieldTypeDouble, alias: CenterX )
CenterY ( type: esriFieldTypeDouble, alias: CenterY )
ZOrder ( type: esriFieldTypeInteger, alias: ZOrder )
Shape_Length ( type: esriFieldTypeDouble, alias: Shape_Length )
Shape_Area ( type: esriFieldTypeDouble, alias: Shape_Area )

Default Mosaic Method: Northwest

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

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 50

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 Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Validate Project

ImageryServices/TLC_Imagery2021_CIR_D_WM (ImageServer)