Transcript
COMPARING AND CONTRASTING THE VARIOUS SURVEY METHODS FOR PROPERTY DEFINITION by David Jonas, Spatial Solutions Consultant
PRESENTATION OUTLINE 1. Department of Land Resources have outlined acceptable Survey Methodology and Deliverables for Digital India Land Records Modernisation Programme (DILRMP) 2. “These are meant for guidance to the States / UTs and they are at liberty to accept / modify any / all of these guidelines” 3. This presentation will compare and contrast the survey methods listed 4. Close with review of processes to maintain and monitor future changes to property boundaries.
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Acceptable Survey Methodologies
ACCEPTABLE SURVEY METHODS Field Survey: • Electronic Total Station • Differential GPS
Remote Sensing: • High resolution satellite imagery • Aerial Photography
Other Methods which can be Explored • Unmanned Aerial Vehicle • Terrestrial LiDAR • Mobile LiDAR • Aerial LiDAR. AAM India
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GPS / ETS FIELD SURVEY Features: • Property survey sits on a Hierarchy of Survey Marks • Property boundaries recorded by brief GPS occupation, or ETS radiation
Pros: • Highest pointing accuracy • Visiting property boundaries often accompanied by land owners
Cons: • Visiting property boundaries often accompanied by land owners • Requires access to, or visibility of, every property corner • Very slow: survey undertaken at walking pace after negotiating site access • Difficult to define non-linear boundaries • No auditability, as field party visits only once. AAM India
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SATELLITE IMAGERY 30 cm Satellite Imagery of Delhi
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SATELLITE IMAGERY 30 cm Satellite Imagery of Delhi
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SATELLITE IMAGERY Features: • Range of platforms including Cartosat, Digital Globe, … Pros: • No mobilisation costs • Can provide the 3rd dimension with stereo coverage Cons: • Accuracy doesn’t really meet stipulated 1:1000 specifications • Low resolution makes more difficult to recognise subtle land boundaries.
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TRADITIONAL TRADITIONALAERIAL AERIALPHOTOGRAPHY PHOTOGRAPHY
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TRADITIONAL TRADITIONALAERIAL AERIALPHOTOGRAPHY PHOTOGRAPHY
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TRADITIONAL AERIAL PHOTOGRAPHY Features: • Large frame cameras, fitted with GPS and IMU Pros: • Provides property framework efficiently and accurately • Well understood in the Indian market • Large resource in India to process orthos • Resultant orthophotos provide valuable data layer for other Govt uses Cons: • Requires field completion of boundaries obscured by vegetation • Requires DGCA/DRI security permits (takes 2 to 3+ months) • Mobilisation costs make it less efficient for small areas • Require more flying (cost, time and weather risk) than modern cameras.
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MODERN AERIAL PHOTOGRAPHY New Technology: eg. VisionMap A3 Allows wider capture per run
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MODERN AERIAL PHOTOGRAPHY VisionMap A3: Rotating Head Camera
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MODERN MODERNAERIAL AERIALPHOTOGRAPHY PHOTOGRAPHY
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MODERN AERIAL PHOTOGRAPHY Features: • Rapid capture from frame camera with long focal length • Every ground feature appears on many frames • Allows image capture 2-3x higher than traditional cameras • Suits very large areas (10,000km2 +) Pros: • Same as for Traditional Aerial Photography • Less flying means lower aviation costs, less time, and less weather risk • Redundant imagery allows automatic processing (quicker, cheaper, robust) Cons: • Same as for Traditional Aerial Photography • Specialised processing means less capability in India.
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ACCEPTABLE SURVEY METHODS Field Survey: • Electronic Total Station • Differential GPS 1. Accuracy Aerial Remote Sensing: • High resolution satellite imagery • Aerial Photography
2. Accessibility 3. Resolution 4. Land holder familiarity
Other Methods which can be Explored • Unmanned Aerial Vehicle • Terrestrial LiDAR • Mobile LiDAR • Aerial LiDAR. AAM India
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5. Auditability 6. Permissions 7. Timeframes 8. Other Applications.
COMPARING FIELD VS AERIAL Field Survey
Aerial Remote Sensing
Accuracy: • centimetre / decimetre
• decimetre (AP) / metre (satellite)
Accessibility: • Need access to, or visibility of, every property vertex • Inaccessible vertices incomplete
• Need to see every property vertex from above • Vertices under trees incomplete
Resolution: • Non-straight boundaries difficult
• Non-straight boundaries easy
Land holder familiarity • only linemap to describe boundary
• Rich imagery to describe boundary
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COMPARING FIELD VS AERIAL Field Survey
Aerial Remote Sensing
Auditability: • No accountability of correct pointing
• Pictorial archive provides audit and legal traceability
Permissions: • Property owner permission to enter
• DGCI/DRI permission for survey
Timeframes: • Quick start-up, slow acquisition
• Slow start-up, quick acquisition
Resources • Limited by equipment availability
• Vast photogrammetric capacity
Other Applications: • Able to leave monumentation
• Othos and DTM vital data layers.
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Other Mentioned Survey Methodologys
UAV PHOTOGRAPHY
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UAV PHOTOGRAPHY
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UAV PHOTOGRAPHY Features: • Small format camera, • mounted on small un-manned aircraft Pros: • Easy to mobilise • Low cost equipment • High resolution available, typically 2 to 5 cm • Automatic software can build 3D surface models Cons: • Short sortie duration, typically supporting 1 to 2 km2 per day capture • More problematic (less safe) over urban areas • Uncertain DGCA permission process.
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AIRBORNE LIDAR Aircraft based measuring laser, with GPS/IMU positioning
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AIRBORNE LIDAR Defines terrain under vegetation and all above-ground features
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AIRBORNE LIDAR Features: • Aircraft based (helicopter or fixed-wing) • Laser defining surface with many points per square metre (1 to 60 pt/m2) • Often operated with aerial camera Pros: • Very dense definition of terrain and everything on it • Large resource in India to process data Cons: • Lacks richness of imagery to define non-spatial boundaries • Poor dataset to show landholders to identify boundaries • Requires DGCA/DRI security permits (takes 2 to 3+ months) • Mobilisation costs make it less efficient for small areas.
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UAV LIDAR Features: • Small format LiDAR • mounted on small un-manned aircraft Pros: • Easy to mobilise • Mid cost equipment (US$100,000 upwards) • Sensors and platforms improving quickly Cons: • Lacks richness of imagery to define non-spatial boundaries • Poor dataset to show landholders to identify boundaries • Short sortie duration, typically supporting 1 to 2 km2 per day capture • More problematic (less safe) over urban areas • Uncertain DGCA permission process • Sensors are un-insurable: $100,000 sensor in platform prone to crash . AAM India
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TERRESTRIAL LIDAR (VEHICLE)
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TERRESTRIAL LIDAR (VEHICLE) Features: • Vehicle based (usually car but also boat, train, rickshaw, trolley, backpack) • Laser defining surface with many points (50 to 1000+ pt/m2) • Often operated with camera (to add “what” to the LiDAR’s “where”) Pros: • No permits required • Acquisition at vehicle speed • Very efficient means of defining roadside boundaries Cons: • Accuracy deteriorates in urban canyons (GCPs can assist) • Boundaries limited to those visible from roadway (or other platform).
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Maintaining Property Database
MAINTAINING PROPERTY DATABASE Two Main Approaches: 1. Procedural Maintenance a. Implement systems driven by permit applications b. Send surveyors out to record reported property change c. lowest cost (driven by procedure, not actuals) d. but doesn’t detect unreported / illegal changes 2. Change Detection Service a. Collect Regular (annual ?) imagery – Satellite generally sufficient b. Automatic and/or Manual Change Detection processes c. Detect change, and send surveyors out to record property change d. Added benefit of updating property tax base.
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CHANGE DETECTION SERVICE Sample Reports 2 epochs of WV3 imagery Automatic change detection Semi-automatic documentation
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CHANGE DETECTION SERVICE Sample Reports 2 epochs of WV3 imagery Automatic change detection Semi-automatic documentation
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IN CLOSING Offer Optimal DILRMP Solution: 1. Aerial photography
Most efficient overall technology Rigorous, auditable, useable
2. Field Survey completion
Easy gap filling using AP as control
3. Maintain Changes with Procedures Simple and necessary but fallible 4. Reinforced with Change Detection Maintain integrity of investment Additional taxation benefits
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