Surveying and Mapping Techniques in Land Management Matthew Delano, LS Trimble Cadastral Solutions 18 th September 2012.

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Presentation transcript:

Surveying and Mapping Techniques in Land Management Matthew Delano, LS Trimble Cadastral Solutions 18 th September 2012

Outline  Geodetic Control & Scaled implementation of GNSS infrastructure  Technology choices –Technology cost vs. project cost  Technology Implementation challenges

Geodetic Control Decision Making & Sharing GIS DB  Collect Spatial (parcel boundary) Data –Update Spatial Data (subdivision)  Convert Spatial Data to Cadastral/Mapping Data  Collect Tenure/Attribute Data –Update Tenure/Attribute Data (conveyance)  Integrate Tenure/Attribute Data to Cadastral/Mapping Data  Share Data with other government agencies, citizens & private sector –Valuation & Taxation, Planning (Decision Making) Customer Workflows Processing Spatial Collection Tenure & Attribute Collection

Geodetic Control & GNSS Infrastructure  Backbone of any cadastral project  To ensure consistency and accuracy  Typically managed by National Agencies, but…  Supports broad range of applications

 The value & character of the land and of its use defines the accuracy of its cadastral registration.  Dense station RTK model are not always possible in Emerging Economies: –Lack of basic infrastructure –Initial Funding –Experience with technology Accuracy & the common reference frame

 Temptation to save cost with uncoordinated control at various phases of work  Implementing a reference backbone with scalability towards cm-accuracy planned from the beginning is a better plan! 1.Sparse CORS model with periodical upload and post-processing 2.To Sparse >150Km station spacing producing 10 cm (Horizontal) 3.To regional (island) 50Km to achieve 2-3 cm accuracy 4.Continuous refinement of accuracy over time and with increasing land value Scaled Implementation of GNSS Infrastructure

Advanced Technology Choices  Geospatial solutions  IS Rover Urban Survey methods  High end handhelds with Floodlight technology  Data Management solutions  Mobile resource management

Geospatial Aerial Workflow & Products Flight Management Flight management system Direct Georeferencing System Data Acquisition Optical Sensors LiDAR Sensors Data Preparation Image Mosaicing Point Cloud Matching Data Processing Orthophoto production Point cloud processing DSM / DTM generation Feature Extraction Manual feature extraction Automatic feature extraction 8

Gatewing UAV

Urban Survey Methods  IS Rover System

Rural Survey Methods  Integrated GNSS + handheld, rugged computer  Light weight  Customized workflows  Accuracy up to cm level  Floodlight Technology

Floodlight Technology

Data Management Services

Mobile Resource Management  Increase workflow productivity  Reduce fuel costs  Improve asset utilization  Decrease carbon footprint  Improve driver safety

Effective Deployment of Technology  Tendency to look at technology cost in isolation  Advanced technology purchases can reduce overall project costs dramatically –Increased labor efficiency –Simplified workflows –Decreased errors and rework –Simplified field processes –Builds technology capacity  Utilize a solution purchase approach as opposed to a product purchase process –DBA, training and implementation services wrapped around products Project Cost

 Consider total project costs & downstream benefits  DBA Implementation  Scaled Implementation  Solution model with DBA, training, service & support Implementation Challenges  Initial funding limitations & justification  Technical limitations  Infrastructure limitations  Implementation assurance