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Analyzing Building Feature Extraction with NAIP Imagery: Dos Palos, Merced County

This study focuses on using Feature Analyst to extract building features from NAIP imagery in Dos Palos, Merced County. By employing supervised learning techniques, we aim to measure urban development through building features and land cover analysis. The project utilizes NAIP aerials from 2005 and 2010 and addresses limitations such as low resolution and the challenge of accurately matching extracted features to aerial imagery. The results highlight potential uses for building point feature extractions while navigating challenges like clutter removal and road exclusions.

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Analyzing Building Feature Extraction with NAIP Imagery: Dos Palos, Merced County

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  1. Using Feature analyst to extract building features using naip imagery – Dos Palos, Merced county Tan Hoang – geog 342

  2. Building Feature extraction • Dos Palos, Merced County • Urban development can be measured in many ways. • Urban land cover – Not all land cover the same • Building features – Useful to analyze direct long-term impact and growth • Tool: Feature Analyst 5.0 • Supervised Learning • National Agriculture Imagery Program (NAIP) aerials • 2005 • 2010

  3. STEPs • Create polygons to serve as training features for Feature Analyst. • Supervised Learning • Manmade Features (>5 m) • Input Representation • Bull’s Eye 2 • Manhattan • Masks • Roads • City Limits

  4. Clutter removal/adding missed features & repeat

  5. issues • Roads and sidewalks similar to some rooftops • Used mask to exclude roads • Dirt lots/unfinished subdivisions/parks • Repeated revisions

  6. frustration

  7. Limits to repeated revisions

  8. Results – after square up tool

  9. Potential use as building Points • NAIP not high-res enough • Extractedfeatures never quite match up to aerials • Could use as building point feature extractions

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