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Service Description: The objective for this project is to compile a Digital Terrain Model (DTM) using LiDAR of the area from Lock 7 Lock 15 as shown on the attached map to aid in the understanding and management of the floodplain in this region.The LiDAR data acquisition and processing will be performed by AAMHATCH Pty Ltd. Data acquisition is to take place in June 2007 using an Optech ALTM system. The raw data will then be processed and supplied as both thinned ground DTM (redundant ground points removed) in ESRI shapefile format and as a 1m grid in ESRI gridfile format. Contours at 0.5m will also be supplied in ESRI shapefile vector format.ProcessThe major technical processes to be employed in this LIDAR solution are summarised below:LIDAR data will be acquired using an Optech ALTM system.The emitted point spacing will be satisfactory for defining all relevant changes of grade.In order to classify the data into “ground” and “non-ground” strikes an automatic classification will be applied, followed by a manual checking and editing.Contours will be generated subsequent to data classification and calibration.Data will be provided in MGA coordinates relative to published base station coordinates.DTM accuracies will be checked and reported on by comparisons with field calibration points and available data from previous surveys.Data will be supplied as both thinned ground DTM (redundant ground points removed) in ESRI shapefile format and as a 1m grid in ESRI gridfile format. Contours at 0.5m will also be supplied in ESRI shapefile vector format.All data will be accompanied by corresponding metadata documentation.SpecificationsVertical point accuracy of 0.15m (at one sigma on clear ground) Total Project AreaThe total project covers an area of over 1410 sq km
Name: ELEVATION/ELEVATION_PYAP_KATARAPKO_2M_DEM_2007_SFA905
Description: The objective for this project is to compile a Digital Terrain Model (DTM) using LiDAR of the area from Lock 7 Lock 15 as shown on the attached map to aid in the understanding and management of the floodplain in this region.The LiDAR data acquisition and processing will be performed by AAMHATCH Pty Ltd. Data acquisition is to take place in June 2007 using an Optech ALTM system. The raw data will then be processed and supplied as both thinned ground DTM (redundant ground points removed) in ESRI shapefile format and as a 1m grid in ESRI gridfile format. Contours at 0.5m will also be supplied in ESRI shapefile vector format.ProcessThe major technical processes to be employed in this LIDAR solution are summarised below:LIDAR data will be acquired using an Optech ALTM system.The emitted point spacing will be satisfactory for defining all relevant changes of grade.In order to classify the data into “ground” and “non-ground” strikes an automatic classification will be applied, followed by a manual checking and editing.Contours will be generated subsequent to data classification and calibration.Data will be provided in MGA coordinates relative to published base station coordinates.DTM accuracies will be checked and reported on by comparisons with field calibration points and available data from previous surveys.Data will be supplied as both thinned ground DTM (redundant ground points removed) in ESRI shapefile format and as a 1m grid in ESRI gridfile format. Contours at 0.5m will also be supplied in ESRI shapefile vector format.All data will be accompanied by corresponding metadata documentation.SpecificationsVertical point accuracy of 0.15m (at one sigma on clear ground) Total Project AreaThe total project covers an area of over 1410 sq km
Single Fused Map Cache: false
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Spatial Reference: 7854
(7854)
Initial Extent:
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YMin: 6188000
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YMax: 6238000
Spatial Reference: 7854
(7854)
Full Extent:
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YMin: 6188000
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YMax: 6238000
Spatial Reference: 7854
(7854)
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Rendering Rule:
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Copyright Text: Murray Darling Basin Commission (MDBC)
Malle Catchment Management Authority
SA Department of Water, Land and Biodiversity
NSW Department of Natural Resources
NSW Department of Water and Energy
AAMHatch
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Child Resources:
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Export Image
Query
Identify
Download Rasters
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query Boundary
Compute Pixel Location
Validate
Project