Atik Nurwanda, Tsuyoshi Honjo, Nobumitsu Tsunematsu, Hitoshi Yokoyama


In the airborne and high-resolution measurement of Land Surface Temperature (LST) over large area, capturing and synthesizing of many images are necessary. In the conventional method, the process of georeferencing a large number of LST images is necessary to make one large image. Structure from Motion (SfM) technique was applied to automized the georeferencing process. We called it “SfM Thermal Mosaicing”. The objective of this study is to evaluate the accuracy of SfM thermal mosaicing in making an orthogonal LST image. By using airborne thermal images in the center of Tokyo, the LST image with the 2m resolution was created by using SfM thermal mosaicing. Its accuracy was then analyzed. The result showed that in the whole examined area, the mean error distance was 4.22m and in the small parts of the examined area, the mean the error distance was about 2m. Considering the image resolution, the error was minimal indicating good performance of the SfM thermal mosaicing. Another advantage of SfM thermal mosaicing is that it can make precise orthogonal LST image. With the progress of UAV and thermal cameras, the proposed method will be a powerful tool for the environmental researches on the LST.


accuracy evaluation; the center of Tokyo; georeferencing; structure from motion; land surface temperature; orthogonal

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Chen A., Yao XA, Sun R., Chen L., (2014), Effect of urban green patterns on surface urban cool islands and its seasonal variations. Urban Forestry and Urban Greening, 13(4), 646–654.

Chesley JT, Leier AL, White S., Torres R., (2017), Using unmanned aerial vehicles and structure-from-motion photogrammetry to characterize sedimentary outcrops: An example fromthe Morrison Formation, Utah, USA. Sedimentary Geology, 354, 1–8.

Colomina I., Molina P., (2014), ISPRS Journal of Photogrammetry and Remote Sensing Unmanned aerial systems for photogrammetry and remote sensing : A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 79–97.

Connors JP, Galletti CS, Chow WTL, (2013), Landscape configuration and urban heat island effects: Assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona. Landscape Ecology, 28(2), 271–283.

Dandois JP, Ellis EC, (2013), Remote Sensing of Environment High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision. Remote Sensing of Environment, 136, 259–276.

Darlington T., Odindi J., Dube T., Nyasha T., (2017), Remote Sensing Applications : Society and Environment Remote sensing applications in monitoring urban growth impacts on in-and- out door thermal conditions : A review. Remote Sensing Applications: Society and Environment, 8(August), 83–93.

Dousset B., Gourmelon F., (2003), Satellite multi-sensor data analysis of urban surface temperatures and landcover. ISPRS Journal of Photogrammetry and Remote Sensing, 58(1–2), 43–54.

Estoque RC, Murayama Y., Myint SW, (2017), Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia. Science of the Total Environment, 577, 349–359.

Honjo T., Tsunematsu N., Yokoyama H., (2017), Urban Climate Analysis of urban surface temperature change using structure-from-motion thermal mosaicing. Urban Climate.

James MR, Robson S., Oleire-oltmanns S., Niethammer U., (2017), Geomorphology Optimising UAV topographic surveys processed with structure-from-motion : Ground control quality, quantity and bundle adjustment. Geomorphology, 280, 51–66.

Meesuk V., Vojinovic Z., Mynett AE, Abdullah AF, (2015), Urban flood modelling combining top-view LiDAR data with ground-view SfM observations. Advances in Water Resources, 75, 105–117.

Siebert S., Teizer J., (2014), Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Automation in Construction, 41, 1–14.

Streutker DR, (2002), A remote sensing study of the urban heat island of Houston, Texas. International Journal of Remote Sensing, 23 (March 2015), 2595–2608.

Weng Q., Lu D., Schubring J., (2004), Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 89(4), 467–483.

Westoby MJ, Brasington J., Glasser NF, Hambrey MJ, Reynolds JM, (2012), Geomorphology “ Structure-from-Motion ” photogrammetry : A low-cost , effective tool for geoscience applications. Geomorphology, 179, 300–314.


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