Yuri Shendryk

1.1k total citations
22 papers, 820 citations indexed

About

Yuri Shendryk is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Yuri Shendryk has authored 22 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 14 papers in Ecology and 8 papers in Nature and Landscape Conservation. Recurrent topics in Yuri Shendryk's work include Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (14 papers) and Forest ecology and management (8 papers). Yuri Shendryk is often cited by papers focused on Remote Sensing and LiDAR Applications (15 papers), Remote Sensing in Agriculture (14 papers) and Forest ecology and management (8 papers). Yuri Shendryk collaborates with scholars based in Australia, Austria and Sweden. Yuri Shendryk's co-authors include Peter J. Thorburn, Yannik Rist, Catherine Ticehurst, Jeremy Sofonia, Danielle Skocaj, Mirela G. Tulbure, Mark Broich, R. Davy, D. Henry and Yun Chen and has published in prestigious journals such as Remote Sensing of Environment, Agricultural and Forest Meteorology and Remote Sensing.

In The Last Decade

Yuri Shendryk

22 papers receiving 793 citations

Peers

Yuri Shendryk

ECOLO

GPC

NLC

Dimitry Van der Zande Belgium

Javier Lopatin Chile

Aarne Hovi Finland

Lonesome Malambo United States

Javier Estornell Spain

Jonathan P. Dash New Zealand

Hongcan Guan China

Yuanyong Dian China

Anu Swatantran United States

Lauri Markelin Finland

Dimitry Van der Zande Belgium

Yuri Shendryk

378 ×0.8

ECOLO

463 ×1.0

221 ×1.0

GPC

114 ×0.7

264 ×1.7

NLC

Citations per year, relative to Yuri Shendryk Yuri Shendryk (= 1×) peers Dimitry Van der Zande

Countries citing papers authored by Yuri Shendryk

Since Specialization

Citations

This map shows the geographic impact of Yuri Shendryk'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 Yuri Shendryk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Shendryk more than expected).

Fields of papers citing papers by Yuri Shendryk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuri Shendryk. 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 Yuri Shendryk. The network helps show where Yuri Shendryk may publish in the future.

Co-authorship network of co-authors of Yuri Shendryk

This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Shendryk. A scholar is included among the top collaborators of Yuri Shendryk 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 Yuri Shendryk. Yuri Shendryk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Moffat, Ian, et al.. (2022). A multidisciplinary approach to locating clandestine gravesites in cold cases: Combining geographic profiling, LiDAR, and near surface geophysics. Forensic Science International Synergy. 5. 100281–100281. 15 indexed citations

Shendryk, Yuri. (2022). Fusing GEDI with earth observation data for large area aboveground biomass mapping. International Journal of Applied Earth Observation and Geoinformation. 115. 103108–103108. 77 indexed citations

Shendryk, Yuri, et al.. (2022). Identification of Suitable Sites Using GIS for Rainwater Harvesting Structures to Meet Irrigation Demand. Water. 14(21). 3480–3480. 28 indexed citations

Chen, Yun, Juan Pablo Guerschman, Yuri Shendryk, D. Henry, & Matthew Tom Harrison. (2021). Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning. Remote Sensing. 13(4). 603–603. 81 indexed citations

Shendryk, Yuri, R. Davy, & Peter J. Thorburn. (2020). Integrating satellite imagery and environmental data to predict field-level cane and sugar yields in Australia using machine learning. Field Crops Research. 260. 107984–107984. 51 indexed citations

Shendryk, Yuri, et al.. (2020). A Satellite-Based Methodology for Harvest Date Detection and Yield Prediction in Sugarcane. 5167–5170. 5 indexed citations

Shendryk, Yuri, Natalie A. Rossiter‐Rachor, Samantha A. Setterfield, & Shaun R. Levick. (2020). Leveraging High-Resolution Satellite Imagery and Gradient Boosting for Invasive Weed Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4443–4450. 28 indexed citations

Shendryk, Yuri, et al.. (2020). Fine-scale prediction of biomass and leaf nitrogen content in sugarcane using UAV LiDAR and multispectral imaging. International Journal of Applied Earth Observation and Geoinformation. 92. 102177–102177. 96 indexed citations

Rist, Yannik, Yuri Shendryk, Foivos I. Diakogiannis, & Shaun R. Levick. (2019). Weed Mapping Using Very High Resolution Satellite Imagery and Fully Convolutional Neural Network. 9784–9787. 8 indexed citations

10.

Shendryk, Yuri, Yannik Rist, Catherine Ticehurst, & Peter J. Thorburn. (2019). Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 157. 124–136. 96 indexed citations

11.

Meng, Ran, Philip E. Dennison, Feng Zhao, et al.. (2018). Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements. Remote Sensing of Environment. 215. 170–183. 63 indexed citations

12.

Serbin, Shawn, Ran Meng, Philip E. Dennison, et al.. (2018). Study the Spectral and Structural Signatures of Canopy Defoliation by Herbivorous Insects at the Individual Tree Level using Bi-temporal Airborne Imaging Spectroscopy and LiDAR Measurements. AGU Fall Meeting Abstracts. 2018. 2 indexed citations

13.

Shendryk, Yuri, Mark Broich, & Mirela G. Tulbure. (2018). Multi-sensor airborne and satellite data for upscaling tree number information in a structurally complex eucalypt forest. International Journal of Applied Earth Observation and Geoinformation. 73. 397–406. 3 indexed citations

14.

Shendryk, Yuri, et al.. (2018). Deep Learning - a New Approach for Multi-Label Scene Classification in Planetscope and Sentinel-2 Imagery. 1116–1119. 18 indexed citations

15.

Shendryk, Yuri, et al.. (2016). Mapping tree health using airborne laser scans and hyperspectral imagery: a case study for a floodplain eucalypt forest. EGUGA. 4 indexed citations

16.

Shendryk, Yuri, et al.. (2016). Mapping individual tree health using full-waveform airborne laser scans and imaging spectroscopy: A case study for a floodplain eucalypt forest. Remote Sensing of Environment. 187. 202–217. 57 indexed citations

17.

Shendryk, Yuri, et al.. (2015). Bottom-up delineation of individual trees from full-waveform airborne laser scans in a structurally complex eucalypt forest. Remote Sensing of Environment. 173. 69–83. 57 indexed citations

18.

Shendryk, Yuri, M. Hellström, Leif Klemedtsson, & Natascha Kljun. (2014). Low-Density LiDAR and Optical Imagery for Biomass Estimation over Boreal Forest in Sweden. Forests. 5(5). 992–1010. 21 indexed citations

19.

Bechmann, Andreas, et al.. (2014). A LiDAR method of canopy structure retrieval for wind modeling of heterogeneous forests. Agricultural and Forest Meteorology. 201. 86–97. 39 indexed citations

20.

Shendryk, Yuri. (2013). Integration of LiDAR data and satellite imagery for biomass estimation in conifer-dominated forest. Lund University Publications Student Papers (Lund University). 7 indexed citations

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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