ArcGIS REST Services Directory Login
JSON | SOAP | WMTS

DE_Imagery/DE_Imagery_1954 (ImageServer)

View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth

Service Description:

Resolution: 1.0 Meter

Band: 1-band: Panchromatic

USDA Agricultural and Commodity Stabilization ServiceBlack and WhiteScanned and georectified using ERDAS ImagineFlying height 40,000 feet, 6-inch focal length camera SRS: NAD83 HARN Delaware State Plane metersScale: 1:20,000

These are scanned images from aerial photography flown in 1954 by the Agricultural Stabilization and Conservation Service. The images are presented as a statewide mosaic. This aerial photography was scanned and georectified to provide a historic look at Delaware.

Scanning The original, paper format, 9x9" aerial photographs were taken in 1954 as part of an aerial survey program. The photographs were scanned at 300 dpi on an 11x17" EPSON GT-15000 scanner, as multi-band, RGB color images. The output was written to *.JPG files. The eastern half of Sussex County, however, was scanned as single-band, gray scale images, and the output was written to *.TIF files. Correcting for this data mismatch is described in the mosaicking section. Georectifying All georectifying was completed in ERDAS Imagine 8.7. Please see the included tutorial for a more detailed explanation. This document was used for training and reference by staff members completing the processing. 1. Ground control points (GCPs) were created on the 1954 images using the 2002 digital orthophotography of Delaware as a reference, using the Image Geometric Correction Tool. The 2002 data was produced in False Color Infrared at a scale of 1:2,400 with a 1 foot pixel resolution. This data is also available in a single, mosaicked MrSID file and is assigned a State Plane Coordinate System and a North American Datum of 1983. In eastern Sussex County, every attempt was made to create GCPs at a standard scale of 1:3,000, however, due to photo quality this scale was not always possible. For the remainder of the state, the largest scale possible was used while still maintaining a clear, unpixelated image on the screen. 2. The scanned images were then resampled to those points using the Display Resample Image Dialog. 3. The GCPs were stored for each image tile along with the Control Point Error from the registration process. 4. Resampled images (1954 corrected) were subsetted (i.e. cropped) to remove photograph borders, fiducial marks, and distorted edges. Mosaicking The 1954 aerial mosaic was created using ERDAS Imagine 8.7. Before the mosaic could be created, each multi-band image was reduced to a single band gray scale image, because the eastern half of Sussex County was georectified by another processor using images that were scanned as single-band, gray scale images. This was performed using ERDAS Imagine's layer stacking tool to create a new set of images containing only their first band. Once this new set of images was created the mosaic of the entire state could be processed. To complete this task, the mosaic tool from ERDAS Imagine was used and contained a feather technique for blending overlapping images. Holes in the final image of Delaware are due to misplacement of aerial photographs.



Name: DE_Imagery/DE_Imagery_1954

Description:

Resolution: 1.0 Meter

Band: 1-band: Panchromatic

USDA Agricultural and Commodity Stabilization ServiceBlack and WhiteScanned and georectified using ERDAS ImagineFlying height 40,000 feet, 6-inch focal length camera SRS: NAD83 HARN Delaware State Plane metersScale: 1:20,000

These are scanned images from aerial photography flown in 1954 by the Agricultural Stabilization and Conservation Service. The images are presented as a statewide mosaic. This aerial photography was scanned and georectified to provide a historic look at Delaware.

Scanning The original, paper format, 9x9" aerial photographs were taken in 1954 as part of an aerial survey program. The photographs were scanned at 300 dpi on an 11x17" EPSON GT-15000 scanner, as multi-band, RGB color images. The output was written to *.JPG files. The eastern half of Sussex County, however, was scanned as single-band, gray scale images, and the output was written to *.TIF files. Correcting for this data mismatch is described in the mosaicking section. Georectifying All georectifying was completed in ERDAS Imagine 8.7. Please see the included tutorial for a more detailed explanation. This document was used for training and reference by staff members completing the processing. 1. Ground control points (GCPs) were created on the 1954 images using the 2002 digital orthophotography of Delaware as a reference, using the Image Geometric Correction Tool. The 2002 data was produced in False Color Infrared at a scale of 1:2,400 with a 1 foot pixel resolution. This data is also available in a single, mosaicked MrSID file and is assigned a State Plane Coordinate System and a North American Datum of 1983. In eastern Sussex County, every attempt was made to create GCPs at a standard scale of 1:3,000, however, due to photo quality this scale was not always possible. For the remainder of the state, the largest scale possible was used while still maintaining a clear, unpixelated image on the screen. 2. The scanned images were then resampled to those points using the Display Resample Image Dialog. 3. The GCPs were stored for each image tile along with the Control Point Error from the registration process. 4. Resampled images (1954 corrected) were subsetted (i.e. cropped) to remove photograph borders, fiducial marks, and distorted edges. Mosaicking The 1954 aerial mosaic was created using ERDAS Imagine 8.7. Before the mosaic could be created, each multi-band image was reduced to a single band gray scale image, because the eastern half of Sussex County was georectified by another processor using images that were scanned as single-band, gray scale images. This was performed using ERDAS Imagine's layer stacking tool to create a new set of images containing only their first band. Once this new set of images was created the mosaic of the entire state could be processed. To complete this task, the mosaic tool from ERDAS Imagine was used and contained a feather technique for blending overlapping images. Holes in the final image of Delaware are due to misplacement of aerial photographs.



Single Fused Map Cache: true

Tile Info: Storage Info: Extent: Initial Extent: Full Extent: Pixel Size X: 1.0

Pixel Size Y: 1.0

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: 3.6978595474472E7

Max Scale: 36111.909643

Copyright Text:

Service Data Type: esriImageServiceDataTypeProcessed

Min Values: 0, 0, 0

Max Values: 255, 255, 255

Mean Values: 122.90656583206832, 122.90656583206832, 122.90656583206832

Standard Deviation Values: 53.47255944099343, 53.47255944099343, 53.47255944099343

Object ID Field: OBJECTID

Fields: Default Mosaic Method: ByAttribute

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

SortField: LowPS

SortValue: 0

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 500000

Max Image Width: 500000

Max Download Image Count: 20

Max Mosaic Image Count: 2000

Allow Raster Function: true

Allow Copy: true

Allow Analysis: true

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   Statistics   Key Properties   Legend   Raster Function Infos

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