Juliane Bendig

2.7k total citations · 2 hit papers
29 papers, 2.2k citations indexed

About

Juliane Bendig is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Juliane Bendig has authored 29 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ecology, 18 papers in Environmental Engineering and 13 papers in Global and Planetary Change. Recurrent topics in Juliane Bendig's work include Remote Sensing in Agriculture (24 papers), Remote Sensing and LiDAR Applications (15 papers) and Plant Water Relations and Carbon Dynamics (5 papers). Juliane Bendig is often cited by papers focused on Remote Sensing in Agriculture (24 papers), Remote Sensing and LiDAR Applications (15 papers) and Plant Water Relations and Carbon Dynamics (5 papers). Juliane Bendig collaborates with scholars based in Germany, Australia and Spain. Juliane Bendig's co-authors include Georg Bareth, Andreas Bolten, Helge Aasen, Martin L. Gnyp, Kang Yu, Nora Tilly, Zbyněk Malenovský, Deepak Gautam, Arko Lucieer and Dirk Hoffmeister and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Juliane Bendig

27 papers receiving 2.1k citations

Hit Papers

Combining UAV-based plant height from crop surface models... 2014 2026 2018 2022 2015 2014 250 500 750

Peers

Juliane Bendig
Juliane Bendig
Citations per year, relative to Juliane Bendig Juliane Bendig (= 1×) peers Andreas Bolten

Countries citing papers authored by Juliane Bendig

Since Specialization
Citations

This map shows the geographic impact of Juliane Bendig's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Juliane Bendig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juliane Bendig more than expected).

Fields of papers citing papers by Juliane Bendig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juliane Bendig. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Juliane Bendig. The network helps show where Juliane Bendig may publish in the future.

Co-authorship network of co-authors of Juliane Bendig

This figure shows the co-authorship network connecting the top 25 collaborators of Juliane Bendig. A scholar is included among the top collaborators of Juliane Bendig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juliane Bendig. Juliane Bendig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ballvora, Agim, Juliane Bendig, Anne‐Katrin Mahlein, et al.. (2025). UAV-based multispectral image analysis revealed stay-green haplotypes in wheat specific for different soil nitrogen levels. BMC Plant Biology. 25(1). 1405–1405. 1 indexed citations
2.
Bendig, Juliane, Ralf Pude, E. Kleist, et al.. (2024). Field phenotyping of ten wheat cultivars under elevated CO2 shows seasonal differences in chlorophyll fluorescence, plant height and vegetation indices. Frontiers in Plant Science. 14. 1304751–1304751. 3 indexed citations
3.
Bendig, Juliane, Lasse Klingbeil, Bastian Siegmann, et al.. (2024). Multispectral imaging and terrestrial laser scanning for the detection of drought-induced paraheliotropic leaf movement in soybean. International Journal of Applied Earth Observation and Geoinformation. 135. 104250–104250. 3 indexed citations
4.
Bendig, Juliane, et al.. (2024). Comparing methods for solar-induced fluorescence efficiency estimation using radiative transfer modelling and airborne diurnal measurements of barley crops. Remote Sensing of Environment. 317. 114521–114521. 3 indexed citations
6.
Siegmann, Bastian, Uwe Rascher, J.G.P.W. Clevers, et al.. (2022). Comparison of a UAV- and an airborne-based system to acquire far-red sun-induced chlorophyll fluorescence measurements over structurally different crops. Agricultural and Forest Meteorology. 323. 109081–109081. 6 indexed citations
7.
Bendig, Juliane, et al.. (2022). LAI and Leaf Chlorophyll Content Retrieval Under Changing Spatial Scale Using a UAV-Mounted Multispectral Camera. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 7891–7894. 1 indexed citations
8.
Cendrero‐Mateo, Maria Pilar, Juliane Bendig, Bastian Siegmann, et al.. (2022). HyScreen: A Ground-Based Imaging System for High-Resolution Red and Far-Red Solar-Induced Chlorophyll Fluorescence. Sensors. 22(23). 9443–9443. 4 indexed citations
9.
Bendig, Juliane, et al.. (2021). Measuring Solar-Induced Fluorescence from Unmanned Aircraft Systems for Operational Use in Plant Phenotyping and Precision Farming. Socio-Environmental Systems Modeling. 1921–1924. 2 indexed citations
10.
Siegmann, Bastian, et al.. (2021). Comparison of Reflectance Calibration Workflows for a UAV-Mounted Multi-Camera Array System. 8225–8228. 4 indexed citations
11.
Bendig, Juliane, Andreas Burkart, Tommaso Julitta, et al.. (2020). 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). 1624–1624. 32 indexed citations
12.
Bendig, Juliane, Deepak Gautam, Zbyněk Malenovský, & Arko Lucieer. (2018). Influence of Cosine Corrector and Uas Platform Dynamics on Airborne Spectral Irradiance Measurements. UTAS Research Repository. 8822–8825. 24 indexed citations
13.
Bareth, Georg, Juliane Bendig, Nora Tilly, et al.. (2016). A Comparison of UAV- and TLS-derived Plant Height for Crop Monitoring: Using Polygon Grids for the Analysis of Crop Surface Models (CSMs). Photogrammetrie - Fernerkundung - Geoinformation. 2016(2). 85–94. 71 indexed citations
14.
Bareth, Georg, Helge Aasen, Juliane Bendig, et al.. (2015). Leichte und UAV-getragene hyperspektrale, bildgebende Kameras zur Beobachtung von landwirtschaftlichen Pflanzenbeständen: spektraler Vergleich mit einem tragbaren Feldspektrometer. Photogrammetrie - Fernerkundung - Geoinformation. 2015(1). 69–79. 105 indexed citations
15.
Bareth, Georg, Helge Aasen, Juliane Bendig, et al.. (2014). Spectral comparison of low-weight and UAV-based hyperspectral frame cameras with portable spectroradiometer measurements. Repository for Publications and Research Data (ETH Zurich). 94. 1–6. 2 indexed citations
16.
Bendig, Juliane, et al.. (2014). Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging. Remote Sensing. 6(11). 10395–10412. 544 indexed citations breakdown →
17.
Aasen, Helge, et al.. (2014). Introduction and preliminary results of a calibration for full-frame hyperspectral cameras to monitor agricultural crops with UAVs. SHILAP Revista de lepidopterología. XL-7. 1–8. 27 indexed citations
18.
Hoffmeister, Dirk, Guido Waldhoff, Constanze Curdt, et al.. (2013). Spatial variability detection of crop height in a single field by terrestrial laser scanning. 267–274. 13 indexed citations
19.
Hoffmeister, Dirk, Nora Tilly, Juliane Bendig, Constanze Curdt, & Georg Bareth. (2012). Detektion von Wachstumsvariabilität in vier Zuckerrübensorten durch multi-temporales terrestrisches Laserscanning.. 135–138. 3 indexed citations
20.
Willner, Konrad, Juliane Bendig, Jürgen Oberst, et al.. (2006). Position measurements of Phobos shadows in HRSC and MOC images and implications for the Phobos orbit. elib (German Aerospace Center). 511.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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