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Best practices for processing thermal UAV imagery from DJI platforms: limitations of JPEG-encoded temperature data and implications for mosaicking.

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Τίτλος: Best practices for processing thermal UAV imagery from DJI platforms: limitations of JPEG-encoded temperature data and implications for mosaicking.
Συγγραφείς: Rous, Jiří1 (AUTHOR) rousjiri@fzp.czu.cz, Komárek, Jan1 (AUTHOR)
Πηγή: Remote Sensing Letters. Oct2026, Vol. 17 Issue 10, p1233-1242. 10p.
Θεματικοί όροι: *JPEG (Image coding standard), *Thermography, *Radiometric methods, *Drone aircraft, *Infrared cameras, *Mosaics (Art)
Εταιρία/Οντότητα: DJI Innovations (Company)
Περίληψη: Commercial DJI UAVs, , democratize thermal remote sensing , yet their proprietary data formats present significant challenges for scientific applications. Standard photogrammetric software treats DJI's radiometric JPEGs (R-JPEGs) merely as visual images, losing quantifiable temperature data. This study defines processing best practices by evaluating these proprietary limitations, the critical role of meteorological metadata, and the computational consistency across different software environments. We compared two DJI Thermal SDK conversion workflows : one utilizing immutable metadata fixed at acquisition and another allowing retrospective adjustment of environmental parameters. Using a DJI Mavic 3Twe tested workflow resilience against incorrect flight parameters. The results reveal that while both workflows provide consistent data when correctly parameterized with in-situ meteorological metadata (mean difference < 0.4 °C), the inability to correct metadata post-flight results in substantial systematic errors, resulting in a 4.7 °C temperature discrepancy. We also highlight software-specific technical constraints related to 16-bit data scaling and potential signal clipping by ThermoConverter in high-temperature scenes. Consequently, we demonstrate that direct mosaicking of R-JPEGs is scientifically invalid. To ensure radiometric integrity, SDK-based conversion to TIFFs must be utilized, prioritizing tools that enable the post-hoc harmonization of emissivity and atmospheric variables for generating reliable thermal orthomosaics. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
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  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:asx&genre=article&issn=2150704X&ISBN=&volume=17&issue=10&date=20261001&spage=1233&pages=1233-1242&title=Remote Sensing Letters&atitle=Best%20practices%20for%20processing%20thermal%20UAV%20imagery%20from%20DJI%20platforms%3A%20limitations%20of%20JPEG-encoded%20temperature%20data%20and%20implications%20for%20mosaicking.&aulast=Rous%2C%20Ji%C5%99%C3%AD&id=DOI:10.1080/2150704X.2026.2691917
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  Data: Best practices for processing thermal UAV imagery from DJI platforms: limitations of JPEG-encoded temperature data and implications for mosaicking.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Remote+Sensing+Letters%22&quot;&gt;Remote Sensing Letters&lt;/searchLink&gt;. Oct2026, Vol. 17 Issue 10, p1233-1242. 10p.
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  Data: *&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22JPEG+%28Image+coding+standard%29%22&quot;&gt;JPEG (Image coding standard)&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Thermography%22&quot;&gt;Thermography&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Radiometric+methods%22&quot;&gt;Radiometric methods&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Drone+aircraft%22&quot;&gt;Drone aircraft&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Infrared+cameras%22&quot;&gt;Infrared cameras&lt;/searchLink&gt;&lt;br /&gt;*&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Mosaics+%28Art%29%22&quot;&gt;Mosaics (Art)&lt;/searchLink&gt;
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  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22DJI+Innovations+%28Company%29%22&quot;&gt;DJI Innovations (Company)&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Commercial DJI UAVs, , democratize thermal remote sensing , yet their proprietary data formats present significant challenges for scientific applications. Standard photogrammetric software treats DJI&#39;s radiometric JPEGs (R-JPEGs) merely as visual images, losing quantifiable temperature data. This study defines processing best practices by evaluating these proprietary limitations, the critical role of meteorological metadata, and the computational consistency across different software environments. We compared two DJI Thermal SDK conversion workflows : one utilizing immutable metadata fixed at acquisition and another allowing retrospective adjustment of environmental parameters. Using a DJI Mavic 3Twe tested workflow resilience against incorrect flight parameters. The results reveal that while both workflows provide consistent data when correctly parameterized with in-situ meteorological metadata (mean difference &lt; 0.4 &#176;C), the inability to correct metadata post-flight results in substantial systematic errors, resulting in a 4.7 &#176;C temperature discrepancy. We also highlight software-specific technical constraints related to 16-bit data scaling and potential signal clipping by ThermoConverter in high-temperature scenes. Consequently, we demonstrate that direct mosaicking of R-JPEGs is scientifically invalid. To ensure radiometric integrity, SDK-based conversion to TIFFs must be utilized, prioritizing tools that enable the post-hoc harmonization of emissivity and atmospheric variables for generating reliable thermal orthomosaics. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asx&AN=197548506
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        Value: 10.1080/2150704X.2026.2691917
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      – Code: eng
        Text: English
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        StartPage: 1233
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      – SubjectFull: DJI Innovations (Company)
        Type: general
      – SubjectFull: JPEG (Image coding standard)
        Type: general
      – SubjectFull: Thermography
        Type: general
      – SubjectFull: Radiometric methods
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      – SubjectFull: Drone aircraft
        Type: general
      – SubjectFull: Infrared cameras
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      – SubjectFull: Mosaics (Art)
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      – TitleFull: Best practices for processing thermal UAV imagery from DJI platforms: limitations of JPEG-encoded temperature data and implications for mosaicking.
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            – D: 01
              M: 10
              Text: Oct2026
              Type: published
              Y: 2026
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