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 editors: Riihiaho, Kimmo A.; Rossi, Tuomo; Pölönen, Ilkka

Parent publication: XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission III

Parent publication editors: Jiang, J.; Shaker, A.; Zhang, H.

Conference:

Place and date of conference: Nice, France, 6.-11.6.2022

Journal or series: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISSN: 2194-9042

eISSN: 2194-9050

Publication year: 2022

Publication date: 17/05/2022

Volume: V-3-2022

Pages range: 471-476

Number of pages in the book: 711

Publisher: Copernicus Publications

Publication country: Germany

Publication language: English

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

Publication open access: Openly available

Publication channel open access: Open 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.

Keywords: hyperspectral imaging; reflectance; simulation; vegetation; Three-dimensional imaging; remote sensing; open source code

Free keywords: leaf optical properties model; simulation; ray tracing; hyperspectral imaging; remote sensing; open source

Contributing organizations

Related projects

Ministry reporting: Yes

VIRTA submission year: 2022

JUFO rating: 1