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9 GIS Data Collection - Dawn Wright

9. GIS data Collection OVERVIEW. This chapter reviews the main methods of GIS data capture and transfer and introduces key practical management issues. It distinguishes between primary (direct measurement) and secondary (derivation from other sources) data capture for both raster and vector data types. LEARNING OBJECTIVES. Describe data Collection workflows;. Understand the primary data capture techniques in remote sensing and surveying;. Be familiar with the secondary data capture techniques of scanning, manual digitizing, vectorization, photogrammetry, and COGO feature construction;. Understand the principles of data transfer, sources of digital geographic data , and geographic data formats;. Analyze practical issues associated with managing data capture projects. KEY WORDS AND CONCEPTS. data capture, data transfer, primary and secondary data sources, resolution (spatial, spectral and temporal), scanning, digitizing, error, photogrammetry, COGO, data transfer, data formats, ISO, CEN, OGC, OCR.

geographic data sources. 9.3.2.1 Heads-up digitizing and vectorization Vectorization is the process of converting raster data into vector data. Chapter 9 GIS Data Collection . 121 The simplest way to create vectors from raster layers is to digitize vector objects

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Transcription of 9 GIS Data Collection - Dawn Wright

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