Abstract
This study explores the extraction of urban form/land use information in developing indicators to support Transport Ecological Footprint (TEF) analysis using urban Remote Sensing (RS) and GIS. Results for the case study city of Ahmedabad, India, provide preliminary insights into the challenges of deriving indicators from RS imagery for TEF analysis. This study shows that pixel based classification methods, while successful in extracting land cover classes of level 1 (buildings, infrastructure vegetation, vacant land and water) have limited capability in extracting level 2 land use classes, a refining of the building class into residential, commercial, institutional, and industrial building classes. Including texture measurements has the potential to improve land use information extraction. Application of basic statistics and categorical analysis in quantifying RS-derived indicators show a weak relationship between urban form and TEF proxy, i.e. total number of trips.
| Original language | English |
|---|---|
| Number of pages | 15 |
| Publication status | Published - 2008 |
| Event | 4th EARSeL Workshop on Imaging Spectroscopy 2005: New quality in environmental studies - Warsaw, Warsaw, Poland Duration: 27 Apr 2005 → 30 Apr 2005 Conference number: 4 |
Workshop
| Workshop | 4th EARSeL Workshop on Imaging Spectroscopy 2005 |
|---|---|
| Country/Territory | Poland |
| City | Warsaw |
| Period | 27/04/05 → 30/04/05 |
Keywords
- ADLIB-ART-1522
- PGM
- 2024 OA procedure
