Urban area thermal monitoring: Liepaja case study using satellite and aerial thermal data
| Autor: | Gundars Korats, Vairis Caune, Linda Gulbe |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Global and Planetary Change
geography.geographical_feature_category 010504 meteorology & atmospheric sciences Pixel 0211 other engineering and technologies Orthophoto 02 engineering and technology computer.file_format Management Monitoring Policy and Law Urban area 01 natural sciences Normalized Difference Vegetation Index Geography Thermal Entropy (information theory) Computers in Earth Sciences Raster graphics Roof computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences Earth-Surface Processes Remote sensing |
| Zdroj: | International Journal of Applied Earth Observation and Geoinformation. 63:45-54 |
| ISSN: | 1569-8432 |
| DOI: | 10.1016/j.jag.2017.07.005 |
| Popis: | The aim of this study is to explore large (60 m/pixel) and small scale (individual building level) temperature distribution patterns from thermal remote sensing data and to conclude what kind of information could be extracted from thermal remote sensing on regular basis. Landsat program provides frequent large scale thermal images useful for analysis of city temperature patterns. During the study correlation between temperature patterns and vegetation content based on NDVI and building coverage based on OpenStreetMap data was studied. Landsat based temperature patterns were independent from the season, negatively correlated with vegetation content and positively correlated with building coverage. Small scale analysis included spatial and raster descriptor analysis for polygons corresponding to roofs of individual buildings for evaluating insulation of roofs. Remote sensing and spatial descriptors are poorly related to heat consumption data, however, thermal aerial data median and entropy can help to identify poorly insulated roofs. Automated quantitative roof analysis has high potential for acquiring city wide information about roof insulation, but quality is limited by reference data quality and information on building types, and roof materials would be crucial for further studies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect