Spatial Data and Technology in Land Administration Property Rights and Resource Governance Issues and Best Practices Washington, DC October 2012 Presenter:

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Presentation transcript:

Spatial Data and Technology in Land Administration Property Rights and Resource Governance Issues and Best Practices Washington, DC October 2012 Presenter: Jill Urban-Karr

Contents What is spatial data? GIS/LIS/GPS/Remote Sensing Approaches Points to Take Away 2

What is Spatial Data? “the data or information that identifies the geographic location of features and boundaries on Earth” Spatial Reference System Maps Imagery Geography Scale Time Twitter 3

GIS/LIS – Geographic/Land Information Systems “is a facility for preparing, presenting, and interpreting facts that pertain to the surface of the earth” Web Mapping Google Earth/Open Street Maps INSPIRE/SDI Crowd Sourcing

GPS-Global Positioning Systems Geodesy “science of measuring and monitoring the size and shape of the Earth” Developed by USDOD in 1978 Constellation of 32 satellites GLONASS, Beidou, Galileo Time measurement –Distances i.e. Meter 5

Remote Sensing Satellites Aerial Photography –Nadir –Oblique –Video –LIDAR

Remote Sensing-Aerial Photography High Resolution

Remote Sensing-Aerial Photography Medium Resolution

Remote Sensing-Aerial Photography Low Resolution

Remote Sensing Analysis 10

Approaches: Flexible Systems Index maps Properties by Points Identify Features Local knowledge Evidence 11

Approaches: Appropriate Technology Cell Phones Solar Power Wifi/Cell networks GPS High Resolution Satellite Imagery Digital Still/Video Cameras Commercial off the Shelf Software/Open Source Web systems and data 12

Points to Take Away Spatial data is key to property rights but also to many other development needs Collect once – use many times Use various modes of spatial data tools and gathering approaches 13 Blending scales and accuracies is acceptable in data poor environments Spatial data has considerable value but must be maintained Maintenance requires good governance Emerging economies must look to partnerships with private sector to develop and sustain spatial data

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