Juliane Bendig

UTAS Home Ms Juliane Bendig

Juliane Bendig

Research Associate
Geography & Spatial Sciences

Sandy Bay Campus

+61 3 6226 2486 (phone)


Juliane is a qualified geographer specialising in Unmanned Aircraft Systems (UAS) remote sensing. Her areas of interest are solar-induced chlorophyll fluorescence, agriculture, hyperspectral sensors and sensor calibration. During her doctor of science (2011-2015, University of Cologne, Germany) she started operating small multirotor UAS for precision agriculture applications. Juliane worked with optical RGB, multispectral, hyperspectral, and thermal sensors. Juliane's doctor thesis was about using optical imagery and structure from motion techniques to measure plant height and estimate biomass from crop surface models (CSMs). Currently, she explores Solar-Induced chlorophyll Fluorescence (SIF) from a UAS-mounted spectroradiometer to understand the influence of geolocation, scale, zenith angle, and crop structure on the fluorescence signal. Recently, She is involved in building a UAS sensor calibration lab.

Career summary


DegreeThesis TitleUniversityDate of Award
Doctor of ScienceUnmanned aerial vehicles (UAVs) for multi-temporal crop surface modelling - A new method for plant height and biomass estimation based on RGB-imagingUniversity of Cologne, Germany2015
DiplomaAirborne Laser Scanning for generation of terrain and surface modelsUniversity of Cologne, Germany2010  


Teaching expertise

Tutoring in Introduction to Remote Sensing and Remote Sensing and Image Analysis

View more on Ms Juliane Bendig in WARP


UAS/UAV/drones, remote sensing, vegetation, agriculture, imaging spectroscopy, chlorophyll fluorescence, biomass estimation, structure from motion, sensor calibration

Current projects

  • - UAS spectrometry for sun-induced chlorophyll fluorescence retrieval
  • - Sensor calibration facility for spectral and thermal remote sensing

Fields of Research

  • Photogrammetry and Remote Sensing (090905)

Research Objectives

  • Expanding Knowledge in Technology (970110)
  • Expanding Knowledge in the Environmental Sciences (970105)
  • Ecosystem Assessment and Management of Forest and Woodlands Environments (960505)
  • Ecosystem Assessment and Management at Regional or Larger Scales (960501)


Total publications


Journal Article

(3 outputs)
2020Bendig J, Malenovsky Z, Gautam D, Lucieer A, 'Solar-induced chlorophyll fluorescence measured from an unmanned aircraft system: sensor etaloning and platform notion correction', IEEE Transactions on Geoscience and Remote Sensing, 58, (5) pp. 3437-3444. ISSN 0196-2892 (2020) [Refereed Article]

DOI: 10.1109/TGRS.2019.2956194 [eCite] [Details]

Citations: Web of Science - 1

Co-authors: Malenovsky Z; Lucieer A


2020Gautam D, Lucieer A, Bendig J, Malenovsky Z, 'Footprint determination of a spectroradiometer mounted on an unmanned aircraft system', IEEE Transactions on Geoscience and Remote Sensing, 58, (5) pp. 3085-3096. ISSN 0196-2892 (2020) [Refereed Article]

DOI: 10.1109/TGRS.2019.2947703 [eCite] [Details]

Citations: Web of Science - 1

Co-authors: Lucieer A; Malenovsky Z


2020Vargas JQ, Bendig J, Mac Arthur A, Burkart A, Julitta J, et al., 'Unmanned aerial systems (UAS)-based methods for solar induced chlorophyll fluorescence (SIF) retrieval with non-imaging spectrometers: state of the art', Remote Sensing, 12, (10) Article 1624. ISSN 2072-4292 (2020) [Refereed Article]

DOI: 10.3390/rs12101624 [eCite] [Details]

Citations: Scopus - 1


Conference Publication

(2 outputs)
2018Bendig J, Gautam D, Malenovsky Z, Lucieer A, 'Influence of cosine corrector and UAS platform dynamics on airborne spectral irradiance measurements', Proceedings of the 2018 IEEE International Symposium Geoscience and Remote Sensing, 22-27 July 2018, Valencia, Spain, pp. 8826-8829. ISBN 9781538671504 (2018) [Refereed Conference Paper]

[eCite] [Details]

Co-authors: Gautam D; Malenovsky Z; Lucieer A


2018Bendig J, Gautam D, Malenovsky Z, Lucieer A, 'Influence of cosine corrector and UAS platform dynamics on airborne spectral irradiance measurements', Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 22-27 July 2018, Valencia, Spain, pp. 8822-8825. ISBN 978-1-5386-7150-4 (2018) [Refereed Conference Paper]

DOI: 10.1109/IGARSS.2018.8518864 [eCite] [Details]

Citations: Scopus - 8

Co-authors: Gautam D; Malenovsky Z; Lucieer A


Grants & Funding

Funding Summary

Number of grants


Total funding



TERN Landscapes UAS instruments and platforms (2019)$65,000
The Unmanned Aircraft System (UAS, also known as UAV or drones) sector in Australia and globally is growing rapidly. Much of the activity across industry and research uses off the shelf sensors for generation of RGB and multispectral orthomosaics, and 3D point clouds. The scientific literature from the past decade has demonstrated the power of UAS remote sensing for ecosystem science. However, the data collection and processing workflows are not yet sufficiently robust for long-term data collection and monitoring. This work package builds on TERNs previous investment in defining scientifically-relevant processes for UAS-based data collection and management. UASs contribute to calibration and validation by providing information at spatial scales relevant to community-scale ecosystem processes: providing spatial context for, or scaling-up from, field or tower-based measurements, and providing ultrahigh-resolution spatial information (<10 cm) for comparison with airborne or satellite imagery. UASs also provide new opportunities for sensor development and testing. The medium-term aim is to establish a national network of trained operators for ecosystems sciences using a set of effective practices for consistent data collection, management and product generation. This includes members of the other TERN platforms who will be trained to provide for their own UAS requirements.
CSIRO-Commonwealth Scientific & Industrial Research Organisation ($65,000)
Contract Research
Administered By
University of Tasmania
Research Team
Lucieer A; Bendig J