Peter Scarth

2.6k total citations
67 papers, 1.6k citations indexed

About

Peter Scarth is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Peter Scarth has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Ecology, 45 papers in Environmental Engineering and 14 papers in Global and Planetary Change. Recurrent topics in Peter Scarth's work include Remote Sensing in Agriculture (44 papers), Remote Sensing and LiDAR Applications (34 papers) and Forest ecology and management (11 papers). Peter Scarth is often cited by papers focused on Remote Sensing in Agriculture (44 papers), Remote Sensing and LiDAR Applications (34 papers) and Forest ecology and management (11 papers). Peter Scarth collaborates with scholars based in Australia, United Kingdom and United States. Peter Scarth's co-authors include Stuart Phinn, John Armston, Michael Stanford, Alan T. Murray, Richard Lucas, Peter Bunting, R. Denham, Nicholas Goodwin, Brett N. Abbott and Juan Pablo Guerschman and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Peter Scarth

65 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Scarth 990 760 716 238 207 67 1.6k
Ran Meng 1.0k 1.0× 598 0.8× 865 1.2× 184 0.8× 253 1.2× 45 1.6k
C. Milesi 1.1k 1.1× 617 0.8× 1.1k 1.6× 257 1.1× 298 1.4× 42 2.1k
Nandin‐Erdene Tsendbazar 1.1k 1.1× 602 0.8× 1.2k 1.6× 129 0.5× 357 1.7× 43 1.9k
Mark Chopping 1.3k 1.3× 940 1.2× 1.1k 1.6× 279 1.2× 492 2.4× 51 2.0k
Álvaro Moreno‐Martínez 1.2k 1.2× 529 0.7× 1.1k 1.6× 206 0.9× 366 1.8× 47 1.9k
Maxim Shoshany 998 1.0× 706 0.9× 843 1.2× 353 1.5× 384 1.9× 100 2.2k
Alexey Egorov 913 0.9× 476 0.6× 776 1.1× 164 0.7× 261 1.3× 10 1.3k
Scott Powell 1000 1.0× 589 0.8× 829 1.2× 486 2.0× 114 0.6× 35 1.7k
Laurence Hubert‐Moy 818 0.8× 430 0.6× 615 0.9× 104 0.4× 193 0.9× 80 1.5k
Alicia Palacios‐Orueta 1.2k 1.2× 822 1.1× 1.1k 1.5× 214 0.9× 226 1.1× 47 1.9k

Countries citing papers authored by Peter Scarth

Since Specialization
Citations

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

Fields of papers citing papers by Peter Scarth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Scarth

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Scarth. A scholar is included among the top collaborators of Peter Scarth 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 Peter Scarth. Peter Scarth 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.
Guerschman, Juan Pablo, Andrew M. Fischer, Iffat Ara, et al.. (2024). Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning. Journal of Environmental Management. 356. 120564–120564. 15 indexed citations
2.
Guerschman, Juan Pablo, Andrew M. Fischer, CL Mohammed, et al.. (2023). Enabling Regenerative Agriculture Using Remote Sensing and Machine Learning. Land. 12(6). 1142–1142. 14 indexed citations
3.
Clark, Andrew, Stuart Phinn, & Peter Scarth. (2023). Pre-Processing Training Data Improves Accuracy and Generalisability of Convolutional Neural Network Based Landscape Semantic Segmentation. Land. 12(7). 1268–1268. 3 indexed citations
4.
Clark, Andrew, Stuart Phinn, & Peter Scarth. (2023). Optimised U-Net for Land Use–Land Cover Classification Using Aerial Photography. PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science. 91(2). 125–147. 18 indexed citations
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Phinn, Stuart, et al.. (2020). Estimating Plant Pasture Biomass and Quality from UAV Imaging across Queensland’s Rangelands. AgriEngineering. 2(4). 523–543. 33 indexed citations
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Vilcins, Dwan, Peter Scarth, Peter D. Sly, et al.. (2020). The association of fractional cover, foliage projective cover and biodiversity with birthweight. The Science of The Total Environment. 763. 143051–143051. 7 indexed citations
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Phinn, Stuart, et al.. (2019). Mapping woody vegetation cover across Australia's arid rangelands: Utilising a machine-learning classification and low-cost Remotely Piloted Aircraft System. International Journal of Applied Earth Observation and Geoinformation. 83. 101909–101909. 10 indexed citations
11.
Phinn, Stuart, et al.. (2019). Automated Cloud and Cloud-Shadow Masking for Landsat 8 Using Multitemporal Images in a Variety of Environments. Remote Sensing. 11(17). 2060–2060. 17 indexed citations
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Phinn, Stuart, et al.. (2017). Cloud and cloud shadow removal of landsat 8 images using Multitemporal Cloud Removal method. 1–5. 16 indexed citations
13.
Dennison, Philip E., Raymond F. Kokaly, Craig S. T. Daughtry, et al.. (2016). Estimating Achievable Accuracy for Global Imaging Spectroscopy Measurement of Non-Photosynthetic Vegetation Cover. AGU Fall Meeting Abstracts. 2016.
14.
Scarth, Peter. (2014). A Methodology for Scaling Biophysical Models. Figshare. 1 indexed citations
15.
Scarth, Peter, et al.. (2013). Estimating RUSLE C-Factor values for Great Barrier Reef Catchments using satellite derived ground cover estimates. Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. 1 indexed citations
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Scarth, Peter. (2012). If You Climb Up A Tree, You Must Climb Down The Same Tree. But How High Was It?. Figshare. 1 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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