Identification and Area Measurement of the Built-up Area with the Built-up Index (BUI)
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Identification and Area Measurement of the Built-up Area with the Built-up Index (BUI) |
| 2. | Creator | Author's name, affiliation, country | Dimitris Kaimaris; School of Spatial Planning and Development (Eng.) Aristotle University of Thessaloniki, Greece |
| 2. | Creator | Author's name, affiliation, country | Petros Patias; School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, Greece |
| 2. | Creator | Author's name, affiliation, country | (doi: 10.23953/cloud.ijarsg.64) |
| 3. | Subject | Discipline(s) | |
| 3. | Subject | Keyword(s) | Landsat ETM+; Built-up Area; Index |
| 4. | Description | Abstract |
The calculation and determination of the built-up area with the highest possible accuracy is of major importance in urban, suburban and agricultural studies. Until present, different methodologies of satellite image processing in their multispectral space (eg pixel-based classification) have been developed and used in Remote Sensing, allowing the identification and area measurement of the built-up area with very high accuracy. Accordingly, the indexes that have been developed are able to provide the identification and area measurement of the built-up area immediately and quickly, but with less space and measuring accuracy than other methodologies. In this paper the main indexes that are used in Remote Sensing are initially presented. Afterwards, a new index, BUI (Built-Up Index), is presented, whose development is based on the combination of the bands of Landsat ETM+: RED (band 3), SWIR1 (band 5) and SWIR2 (band 7). Its comparison with other indexes takes place in the urban, suburban and agricultural area of a Greek city, and its effectiveness is tested in four other cities (in Greece and Palestine). The results are encouraging, since this index allows the identification of the built-up area more accurately than the others. Finally, the accuracy of area measurement of the built-up area approaches accuracies obtained with other methodologies of Remote Sensing. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2016-06-29 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-627 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 5 (Year 2016) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
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