Using near–surface temperature data to vicariously calibrate high-resolution thermal infrared imagery and estimate physical surface properties Article Swipe
T. N. Titus
,
J. Judson Wynne
,
M Jhabvala
,
Nathalie A. Cabrol
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.mex.2022.101644
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.mex.2022.101644
Thermal response of the surface to solar insolation is a function of the topography and the thermal physical characteristics of the landscape, which include bulk density, heat capacity, thermal conductivity and surface albedo and emissivity. Thermal imaging is routinely used to constrain thermal physical properties by characterizing or modeling changes in the diurnal temperature profiles. Images need to be acquired throughout the diurnal cycle - typically this is done twice during a diurnal cycle, but we suggest multiple times. Comparison of images acquired over 24 hours requires that either the data be calibrated to surface temperature, or the response of the thermal camera is linear and stable over the image acquisition period. Depending on the type and age of the thermal instrument, imagery may be self-calibrated in radiance, corrected for atmospheric effects, and pixels converted to surface temperature. We used an experimental instrumentation where the calibration should be stable, but calibration coefficients are unknown. Cases may occur where one wishes to validate the camera's calibration. We present a method to validate and calibrate the instrument and characterize the thermal physical properties for areas of interest. Finally, in situ high-temporal-resolution oblique thermal imaging can be invaluable in preparation for conducting overflight missions. We present the following:•The use of oblique thermal high temporal resolution thermal imaging over diurnal or multiday periods for the characterization of landscapes has not been widespread but poses great potential.•A method of collecting and analyzing thermal data that can be used to either determine or validate thermal camera calibration coefficients.•An approach to characterize thermophysical properties of the landscape using oblique temporally high-resolution thermal imaging, combined with in situ ground measurements.
Related Topics
Concepts
Remote sensing
Radiance
Emissivity
Calibration
Albedo (alchemy)
Thermal
Diurnal cycle
Environmental science
Image resolution
Instrumentation (computer programming)
Temporal resolution
Meteorology
Atmospheric sciences
Optics
Geology
Physics
Computer science
Performance art
Operating system
Quantum mechanics
Art history
Art
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.mex.2022.101644
- OA Status
- gold
- Cited By
- 4
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4223965153
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4223965153Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.mex.2022.101644Digital Object Identifier
- Title
-
Using near–surface temperature data to vicariously calibrate high-resolution thermal infrared imagery and estimate physical surface propertiesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
T. N. Titus, J. Judson Wynne, M Jhabvala, Nathalie A. CabrolList of authors in order
- Landing page
-
https://doi.org/10.1016/j.mex.2022.101644Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.mex.2022.101644Direct OA link when available
- Concepts
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Remote sensing, Radiance, Emissivity, Calibration, Albedo (alchemy), Thermal, Diurnal cycle, Environmental science, Image resolution, Instrumentation (computer programming), Temporal resolution, Meteorology, Atmospheric sciences, Optics, Geology, Physics, Computer science, Performance art, Operating system, Quantum mechanics, Art history, ArtTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 2, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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