Peter Caccetta

3.3k total citations · 1 hit paper
67 papers, 2.3k citations indexed

About

Peter Caccetta is a scholar working on Environmental Engineering, Ecology and Aerospace Engineering. According to data from OpenAlex, Peter Caccetta has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Environmental Engineering, 28 papers in Ecology and 12 papers in Aerospace Engineering. Recurrent topics in Peter Caccetta's work include Remote Sensing and LiDAR Applications (27 papers), Remote Sensing in Agriculture (26 papers) and Soil Geostatistics and Mapping (26 papers). Peter Caccetta is often cited by papers focused on Remote Sensing and LiDAR Applications (27 papers), Remote Sensing in Agriculture (26 papers) and Soil Geostatistics and Mapping (26 papers). Peter Caccetta collaborates with scholars based in Australia, China and Greece. Peter Caccetta's co-authors include Chen Wu, Foivos I. Diakogiannis, François Waldner, Eric Lehmann, J. Wallace, Suzanne Furby, Xiaoliang Wu, Zheng-Shu Zhou, Riccardo Paolini and Hassan Saeed Khan 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 Caccetta

66 papers receiving 2.2k citations

Hit Papers

ResUNet-a: A deep learning framework for semantic segment... 2020 2026 2022 2024 2020 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Caccetta Australia 21 680 661 598 503 389 67 2.3k
François Waldner Belgium 25 722 1.1× 600 0.9× 1.4k 2.4× 652 1.3× 877 2.3× 51 3.1k
Olaf Hellwich Germany 30 421 0.6× 759 1.1× 182 0.3× 348 0.7× 205 0.5× 181 2.4k
Raul Queiroz Feitosa Brazil 23 944 1.4× 629 1.0× 1.3k 2.2× 1.2k 2.5× 757 1.9× 126 3.2k
Zhengxin Zhang China 10 640 0.9× 1.0k 1.5× 199 0.3× 550 1.1× 141 0.4× 40 2.6k
Knut Conradsen Denmark 25 492 0.7× 325 0.5× 400 0.7× 871 1.7× 280 0.7× 95 2.8k
Κωνσταντίνος Καράντζαλος Greece 28 456 0.7× 659 1.0× 554 0.9× 1.3k 2.6× 260 0.7× 115 2.6k
Tengfei Long China 22 514 0.8× 233 0.4× 470 0.8× 278 0.6× 884 2.3× 126 1.7k
Yu Li China 22 248 0.4× 414 0.6× 124 0.2× 403 0.8× 255 0.7× 147 1.7k

Countries citing papers authored by Peter Caccetta

Since Specialization
Citations

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

Fields of papers citing papers by Peter Caccetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Caccetta

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Caccetta. A scholar is included among the top collaborators of Peter Caccetta 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 Caccetta. Peter Caccetta 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.
Sandino, Juan, Peter Caccetta, Conrad Sanderson, Frédéric Maire, & Felipé Gonzalez. (2022). Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance. 2022 IEEE Aerospace Conference (AERO). 1–16. 5 indexed citations
2.
Duncan, John, Joe Hurley, Marco Amati, et al.. (2020). Leaf my neighbourhood alone! predicting the influence of densification on residential tree canopy cover in Perth. Landscape and Urban Planning. 199. 103804–103804. 20 indexed citations
3.
Zhou, Zheng-Shu, et al.. (2020). Initial NovaSAR-1 Data Processing and Imagery Evaluation. 6154–6157. 4 indexed citations
4.
Khan, Hassan Saeed, M. Santamouris, Riccardo Paolini, Peter Caccetta, & Pavlos Kassomenos. (2020). Analyzing the local and climatic conditions affecting the urban overheating magnitude during the Heatwaves (HWs) in a coastal city: A case study of the greater Sydney region. The Science of The Total Environment. 755(Pt 1). 142515–142515. 30 indexed citations
5.
Baddeley, Adrian, et al.. (2019). Computation of Lacunarity from Covariance of Spatial Binary Maps. Journal of Agricultural Biological and Environmental Statistics. 24(2). 264–288. 2 indexed citations
6.
Caccetta, Peter, et al.. (2017). Endmember search and proportion estimates from airborne hyperspectral surveys. International Journal of Remote Sensing. 39(2). 525–543. 2 indexed citations
7.
Symeonakis, Elías, Peter Caccetta, J. Wallace, et al.. (2015). Multi‐temporal Forest Cover Change and Forest Density Trend Detection in a Mediterranean Environment. Land Degradation and Development. 28(4). 1188–1198. 3 indexed citations
8.
Mitchell, Anthea L., Ian Tapley, A.K. Milne, et al.. (2014). C- and L-band SAR interoperability: Filling the gaps in continuous forest cover mapping in Tasmania. Remote Sensing of Environment. 155. 58–68. 29 indexed citations
10.
Caccetta, Peter, et al.. (2010). Monitoring Australian Continental Land Cover Changes Using Landsat Imagery as a Component of Assessing the Role of Vegetation Dynamics on Terrestrial Carbon Cycling. 686. 4. 6 indexed citations
11.
Caccetta, Peter, et al.. (2010). Techniques for BRDF Correction of Hyperspectral Mosaics. IEEE Transactions on Geoscience and Remote Sensing. 48(10). 3733–3746. 36 indexed citations
12.
Furby, Suzanne, Peter Caccetta, & J. Wallace. (2010). Salinity Monitoring in Western Australia using Remotely Sensed and Other Spatial Data. Journal of Environmental Quality. 39(1). 16–25. 41 indexed citations
13.
Kiiveri, Harri, Peter Caccetta, & F. Evans. (2001). Use of conditional probability networks for environmental monitoring. International Journal of Remote Sensing. 22(7). 1173–1190. 13 indexed citations
14.
Caccetta, Peter, N. A. Campbell, F. Evans, et al.. (2001). <title>Mapping and monitoring land use and condition change in the southwest of Western Australia using remote sensing and other data</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4171. 34–45. 6 indexed citations
15.
Campbell, N. A., Richard J George, Tom Hatton, et al.. (2000). Using natural resource inventory data to improve the management of dryland salinity in the Great Southern, Western Australia. Murdoch Research Repository (Murdoch University). 9 indexed citations
16.
Evans, F. & Peter Caccetta. (2000). Salinity risk prediction using Landsat TM and DEM-derived data. Murdoch Research Repository (Murdoch University). 4 indexed citations
17.
Caccetta, Peter, Ian Watson, N. A. Campbell, et al.. (2000). The Land Monitor Project. Murdoch Research Repository (Murdoch University). 23 indexed citations
18.
Kiiveri, Harri & Peter Caccetta. (1998). Image Fusion with Conditional Probability Networks for Monitoring the Salinization of Farmland. Digital Signal Processing. 8(4). 225–230. 10 indexed citations
19.
Evans, F., Peter Caccetta, & R Ferdowsian. (1996). Integrating Remotely Sensed Data With Other Spatial Data Sets To Predict Areas At Risk From Salinity. Murdoch Research Repository (Murdoch University). 11 indexed citations
20.
Caccetta, Peter, et al.. (1995). Aspects Of Reasoning With Uncertainty In An Agricultural Gis Environment. 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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