Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines
In an effort to minimize complex urban microclimatic variability within high-resolution (H-Res) airborne thermal infrared (TIR) flight-lines, we describe the Thermal Urban Road Normalization (TURN) algorithm, which is based on the idea of pseudo invariant features. By assuming a homogeneous road te...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-10-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/6/10/9435 |
| _version_ | 1798030983584284672 |
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| author | Mir Mustafizur Rahman Geoffrey J. Hay Isabelle Couloigner Bharanidharan Hemachandran |
| author_facet | Mir Mustafizur Rahman Geoffrey J. Hay Isabelle Couloigner Bharanidharan Hemachandran |
| author_sort | Mir Mustafizur Rahman |
| collection | DOAJ |
| description | In an effort to minimize complex urban microclimatic variability within high-resolution (H-Res) airborne thermal infrared (TIR) flight-lines, we describe the Thermal Urban Road Normalization (TURN) algorithm, which is based on the idea of pseudo invariant features. By assuming a homogeneous road temperature within a TIR scene, we hypothesize that any variation observed in road temperature is the effect of local microclimatic variability. To model microclimatic variability, we define a road-object class (Road), compute the within-Road temperature variability, sample it at different spatial intervals (i.e., 10, 20, 50, and 100 m) then interpolate samples over each flight-line to create an object-weighted variable temperature field (a TURN-surface). The optimal TURN-surface is then subtracted from the original TIR image, essentially creating a microclimate-free scene. Results at different sampling intervals are assessed based on their: (i) ability to visually and statistically reduce overall scene variability and (ii) computation speed. TURN is evaluated on three non-adjacent TABI-1800 flight-lines (~182 km2) that were acquired in 2012 at night over The City of Calgary, Alberta, Canada. TURN also meets a recent GEOBIA (Geospatial Object Based Image Analysis) challenge by incorporating existing GIS vector objects within the GEOBIA workflow, rather than relying exclusively on segmentation methods. |
| first_indexed | 2024-04-11T19:50:01Z |
| format | Article |
| id | doaj.art-27797c1a6d9f412aa3dfb6b7d42bb87b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T19:50:01Z |
| publishDate | 2014-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-27797c1a6d9f412aa3dfb6b7d42bb87b2022-12-22T04:06:20ZengMDPI AGRemote Sensing2072-42922014-10-016109435945710.3390/rs6109435rs6109435Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-LinesMir Mustafizur Rahman0Geoffrey J. Hay1Isabelle Couloigner2Bharanidharan Hemachandran3Department of Geography, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N1N4, CanadaDepartment of Geography, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N1N4, CanadaDepartment of Geography, University of Calgary, 2500 University Dr. NW, Calgary, AB T2N1N4, CanadaCanadian Pacific Railway, 7550 Ogden Dale Road S.E. Calgary, AB T2C 4X9, CanadaIn an effort to minimize complex urban microclimatic variability within high-resolution (H-Res) airborne thermal infrared (TIR) flight-lines, we describe the Thermal Urban Road Normalization (TURN) algorithm, which is based on the idea of pseudo invariant features. By assuming a homogeneous road temperature within a TIR scene, we hypothesize that any variation observed in road temperature is the effect of local microclimatic variability. To model microclimatic variability, we define a road-object class (Road), compute the within-Road temperature variability, sample it at different spatial intervals (i.e., 10, 20, 50, and 100 m) then interpolate samples over each flight-line to create an object-weighted variable temperature field (a TURN-surface). The optimal TURN-surface is then subtracted from the original TIR image, essentially creating a microclimate-free scene. Results at different sampling intervals are assessed based on their: (i) ability to visually and statistically reduce overall scene variability and (ii) computation speed. TURN is evaluated on three non-adjacent TABI-1800 flight-lines (~182 km2) that were acquired in 2012 at night over The City of Calgary, Alberta, Canada. TURN also meets a recent GEOBIA (Geospatial Object Based Image Analysis) challenge by incorporating existing GIS vector objects within the GEOBIA workflow, rather than relying exclusively on segmentation methods.http://www.mdpi.com/2072-4292/6/10/9435Thermal Urban Road Normalization (TURN)surface temperaturetemporal variationmicroclimatic variabilitythermal infrared imagerygeographic objectsTABI 1800 |
| spellingShingle | Mir Mustafizur Rahman Geoffrey J. Hay Isabelle Couloigner Bharanidharan Hemachandran Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines Remote Sensing Thermal Urban Road Normalization (TURN) surface temperature temporal variation microclimatic variability thermal infrared imagery geographic objects TABI 1800 |
| title | Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines |
| title_full | Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines |
| title_fullStr | Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines |
| title_full_unstemmed | Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines |
| title_short | Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines |
| title_sort | transforming image objects into multiscale fields a geobia approach to mitigate urban microclimatic variability within h res thermal infrared airborne flight lines |
| topic | Thermal Urban Road Normalization (TURN) surface temperature temporal variation microclimatic variability thermal infrared imagery geographic objects TABI 1800 |
| url | http://www.mdpi.com/2072-4292/6/10/9435 |
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