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Aerial_Photography/SacDelta_LiDAR_201712 (ImageServer)

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Service Description: Product: This data set is comprised of classified LiDAR point cloud tiles in LAS 1.4 format, 0.5-meter bare-earth digital elevation models (DEMs) in ERDAS IMG format, 0.5-meter digital surface models (DSMs) in ERDAS IMG format, 0.5-meter intensity imagery tiles in GeoTIFF format, and hydro-flattened breaklines in Esri file geodatabase format. Geographic Extent: Approximately 1,312 square miles across several counties in central California. Dataset description: The CA Sacramento Delta LiDAR 2017 D16 LiDAR project called for the planning, acquisition, processing, and production of derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program LiDAR Base Specification, Version 1.2. The data was developed based on a horizontal datum/projection of NAD83 (NSRS2007) UTM Zone 10 (EPSG 3717) meters, and a vertical datum of NAVD88 (GEOID12B), US survey feet. LiDAR data was delivered as processed classified LAS 1.4 files formatted to 1,706 individual 1,500-meter x 1,500-meter tiles. Other LiDAR products include tiled intensity imagery, tiled bare-earth DEMs, and tiled first return DSMs, all tiled to the same tiling schema. This version of the data is referenced to the 2017 epoch, which is different from the USGS version that is referenced to the 2011 epoch. Ground Conditions: LiDAR was collected from December 9, 2017 through January 21, 2018 by Woolpert, while no snow was on the ground and rivers were at or below normal levels. Saturated or partially flooded farm fields were identified following data acquisition. Through technical guidance discussions with USGS and the California Department of Water, it was determined such areas shall not be considered hydrologic features. Intermittently, partially flooded, irregular, and apparently non-agricultural fields were treated as hydrologic features. In all cases, best professional judgement was used in determination of treatment. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 35 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 143 independent accuracy checkpoints (75 NVA points and 68 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. This data set was collected and produced by Woolpert for purposes of and under contract to USGS. Data are considered public domain. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. This is an official DWR Image Service, published on June 13, 2019 by Stephanie Baker of the Division of Engineering, Geodetic Branch, Geospatial Data Support Section, who may be contacted at stephanie.baker@water.ca.gov, or 916-653-9815.

Name: Aerial_Photography/SacDelta_LiDAR_201712

Description: Product: This data set is comprised of classified LiDAR point cloud tiles in LAS 1.4 format, 0.5-meter bare-earth digital elevation models (DEMs) in ERDAS IMG format, 0.5-meter digital surface models (DSMs) in ERDAS IMG format, 0.5-meter intensity imagery tiles in GeoTIFF format, and hydro-flattened breaklines in Esri file geodatabase format. Geographic Extent: Approximately 1,312 square miles across several counties in central California. Dataset description: The CA Sacramento Delta LiDAR 2017 D16 LiDAR project called for the planning, acquisition, processing, and production of derivative products of LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program LiDAR Base Specification, Version 1.2. The data was developed based on a horizontal datum/projection of NAD83 (NSRS2007) UTM Zone 10 (EPSG 3717) meters, and a vertical datum of NAVD88 (GEOID12B), US survey feet. LiDAR data was delivered as processed classified LAS 1.4 files formatted to 1,706 individual 1,500-meter x 1,500-meter tiles. Other LiDAR products include tiled intensity imagery, tiled bare-earth DEMs, and tiled first return DSMs, all tiled to the same tiling schema. This version of the data is referenced to the 2017 epoch, which is different from the USGS version that is referenced to the 2011 epoch. Ground Conditions: LiDAR was collected from December 9, 2017 through January 21, 2018 by Woolpert, while no snow was on the ground and rivers were at or below normal levels. Saturated or partially flooded farm fields were identified following data acquisition. Through technical guidance discussions with USGS and the California Department of Water, it was determined such areas shall not be considered hydrologic features. Intermittently, partially flooded, irregular, and apparently non-agricultural fields were treated as hydrologic features. In all cases, best professional judgement was used in determination of treatment. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 35 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 143 independent accuracy checkpoints (75 NVA points and 68 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. This data set was collected and produced by Woolpert for purposes of and under contract to USGS. Data are considered public domain. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. This is an official DWR Image Service, published on June 13, 2019 by Stephanie Baker of the Division of Engineering, Geodetic Branch, Geospatial Data Support Section, who may be contacted at stephanie.baker@water.ca.gov, or 916-653-9815.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 0.3

Pixel Size Y: 0.3

Band Count: 4

Pixel Type: U16

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

Mensuration Capabilities: Basic

Inspection Capabilities:

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: California Department of Water Resources, USGS, Woolpert

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 0, 0, 5331, 0

Max Values: 65535, 65535, 65535, 65535

Mean Values: 23982.746037396468, 24602.623352534985, 21899.763985671747, 30646.79712154876

Standard Deviation Values: 8382.82894611013, 7467.988486677277, 6230.275772151946, 10582.274088484392

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: 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: 20

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 GPS Info   Find Images   Image to Map   Map to Image   Measure from Image   Image to Map Multiray   Query Boundary   Compute Pixel Location   Compute Angles   Validate   Project