A4 Article in conference proceedings
HyperBlend : Simulating Spectral Reflectance and Transmittance of Leaf Tissue with Blender (2022)


Riihiaho, K. A., Rossi, T., & Pölönen, I. (2022). HyperBlend : Simulating Spectral Reflectance and Transmittance of Leaf Tissue with Blender. In J. Jiang, A. Shaker, & H. Zhang (Eds.), XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission III (V-3-2022, pp. 471-476). Copernicus Publications. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-annals-V-3-2022-471-2022


JYU authors or editors


Publication details

All authors or editorsRiihiaho, Kimmo A.; Rossi, Tuomo; Pölönen, Ilkka

Parent publicationXXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission III

Parent publication editorsJiang, J.; Shaker, A.; Zhang, H.

Conference:

  • International Society for Photogrammetry and Remote Sensing Congress

Place and date of conferenceNice, France6.-11.6.2022

Journal or seriesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISSN2194-9042

eISSN2194-9050

Publication year2022

Publication date17/05/2022

VolumeV-3-2022

Pages range471-476

Number of pages in the book711

PublisherCopernicus Publications

Publication countryGermany

Publication languageEnglish

DOIhttps://doi.org/10.5194/isprs-annals-V-3-2022-471-2022

Publication open accessOpenly available

Publication channel open accessOpen Access channel

Publication is parallel published (JYX)https://jyx.jyu.fi/handle/123456789/82728


Abstract

Remotely sensing vegetation condition and health hazards requires modeling the connection of plants’ biophysical and biochemical parameters to their spectral response. Even though many models exist already, the field suffers from lack of access to program code. In this study, we will assess the feasibility of open-source 3D-modeling and rendering software Blender in simulating hyperspectral reflectance and transmittance of leaf tissue to serve as a base for a more advanced large-scale simulator. This is the first phase of a larger HyperBlend project, which will provide a fully open-source, canopy scale leaf optical properties model for simulating remotely sensed hyperspectral images. Test results of the current HyperBlend model show good agreement with real-world measurements with root mean squared error around 1‰. The program code is available at https://github.com/silmae/ hyperblend.


Keywordshyperspectral imagingreflectancesimulationvegetationThree-dimensional imagingremote sensingopen source code

Free keywordsleaf optical properties model; simulation; ray tracing; hyperspectral imaging; remote sensing; open source


Contributing organizations


Related projects


Ministry reportingYes

Reporting Year2022

JUFO rating1


Last updated on 2024-03-04 at 18:06