Dr Jacqueline Rosette

Royal Society Research Fellow, Geography

+44 (0) 1792 602810

j.a.rosette@swansea.ac.uk

Research Links

https://orcid.org/0000-0002-2589-0244

Available For Postgraduate Supervision

About

Dr Jacqueline Rosette is a member of the Geography Department at Swansea University.

Publications

Research Highlights

Gorgens, E., Nunes, M., Jackson, T., Coomes, D., Keller, M., Reis, C., Valbuena, R., Rosette, J., Almeida, D., Gimenez, B., Cantinho, R., Motta, A., Assis, M., Pereira, F., Spanner, G., Higuchi, N., & Ometto, J. (2021). Resource availability and disturbance shape maximum tree height across the Amazon. Global Change Biology, 27(1), 177-189.
https://doi.org/10.1111/gcb.15423, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57998
North, P., Rosette, J., Suárez, J., Los, S., North, P., Los, S., & Rosette, J. (2010). A Monte Carlo radiative transfer model of satellite waveform LiDAR. International Journal of Remote Sensing, 31(5), 1343
https://doi.org/10.1080/01431160903380664, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1018
Rosette, J., North, P., Suárez, J., Armston, J., North, P., & Rosette, J. (2009). A comparison of biophysical parameter retrieval for forestry using airborne and satellite LiDAR. International Journal of Remote Sensing, 30(19), 5229
https://doi.org/10.1080/01431160903022944, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7455
Rosette, J., North, P., & Suárez, J. (2008). Vegetation height estimates for a mixed temperate forest using satellite laser altimetry. International Journal of Remote Sensing, 29(5), 1475
https://doi.org/10.1080/01431160701736380, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7458
Rosette, J., North, P., Suárez, J., & Los, S. (2010). Uncertainty within satellite LiDAR estimations of vegetation and topography. International Journal of Remote Sensing, 31(5), 1325
https://doi.org/10.1080/01431160903380631, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7461
Rosette, J., North, P., & J.C., S. (2008). Satellite lidar estimation of stemwood volume: a method using waveform decomposition. Photogrammetric Journal of Finland, 21(1), 76-85.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8034
Los, S., Rosette, J., Kljun, N., North, P., Chasmer, L., Suárez, J., Hopkinson, C., Hill, R., Gorsel, E., Mahoney, C., Berni, J., North, P., Los, S., Rosette, J., & Kljun, N. (2012). Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data. Geoscientific Model Development, 5, 413-432.
https://doi.org/10.5194/gmd-5-413-2012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13916
Rosette, J., Suárez, J., North, P., & Los, S. (2011). Forestry Applications for Satellite Lidar Remote Sensing. Photogrammetric Engineering & Remote Sensing, 77(3), 271-279.
https://doi.org/10.14358/PERS.77.3.271, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14116
Morton, D., Nagol, J., Carabajal, C., Rosette, J., Palace, M., Cook, B., Vermote, E., Harding, D., & North, P. (2014). Amazon forests maintain consistent canopy structure and greenness during the dry season. Nature, 506(7487), 221-224.
https://doi.org/10.1038/nature13006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17297
Mahoney, C., Kljun, N., Los, S., Chasmer, L., Hacker, J., Hopkinson, C., North, P., Rosette, J., & van Gorsel, E. (2014). Slope Estimation from ICESat/GLAS. Remote Sensing, 6(10), 10051-10069.
https://doi.org/10.3390/rs61010051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18770
http://www.mdpi.com/2072-4292/6/10/10051

All Research

Journal Articles

Gorgens, E., Nunes, M., Jackson, T., Coomes, D., Keller, M., Reis, C., Valbuena, R., Rosette, J., Almeida, D., Gimenez, B., Cantinho, R., Motta, A., Assis, M., Pereira, F., Spanner, G., Higuchi, N., & Ometto, J. (2021). Resource availability and disturbance shape maximum tree height across the Amazon. Global Change Biology, 27(1), 177-189.
https://doi.org/10.1111/gcb.15423, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57998
García, M., North, P., Viana-Soto, A., Stavros, N., Rosette, J., Martín, M., Franquesa, M., González-Cascón, R., Riaño, D., Becerra, J., & Zhao, K. (2020). Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach. Remote Sensing of Environment, 247, 111893
https://doi.org/10.1016/j.rse.2020.111893, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54384
Chen, B., Pang, Y., Li, Z., Lu, H., North, P., Rosette, J., & Yan, M. (2020). Forest signal detection for photon counting LiDAR using Random Forest. Remote Sensing Letters, 11(1), 37-46.
https://doi.org/10.1080/2150704x.2019.1682708, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52597
Gorgens, E., Motta, A., Assis, M., Nunes, M., Jackson, T., Coomes, D., Rosette, J., Aragão, L., Ometto, J., & Rosette, J. (2019). The giant trees of the Amazon basin. Frontiers in Ecology and the Environment, 17(7), 373-374.
https://doi.org/10.1002/fee.2085, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52627
Chen, B., Pang, Y., Li, Z., Lu, H., Liu, L., North, P., & Rosette, J. (2019). Ground and Top of Canopy Extraction From Photon-Counting LiDAR Data Using Local Outlier Factor With Ellipse Searching Area. IEEE Geoscience and Remote Sensing Letters, 16(9), 1447-1451.
https://doi.org/10.1109/LGRS.2019.2899011, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50230
Iglhaut, J., Cabo, C., Puliti, S., Piermattei, L., O’Connor, J., & Rosette, J. (2019). Structure from Motion Photogrammetry in Forestry: a Review. Current Forestry Reports, 5(3), 155-168.
https://doi.org/10.1007/s40725-019-00094-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51276
https://link.springer.com/article/10.1007/s40725-019-00094-3?wt_mc=alerts.TOCjournals&utm_source=toc&utm_medium=email&utm_campaign=toc_40725_5_3
Chen, B., Pang, Y., Li, Z., North, P., Rosette, J., Sun, G., Suarez-Minguez, J., Bye, I., & Lu, H. (2019). Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest. Remote Sensing, 11(7), 856
https://doi.org/10.3390/rs11070856, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50052
Duncanson, L., Dubayah, R., Cook, B., Rosette, J., Parker, G., & Rosette, J. (2015). The importance of spatial detail: Assessing the utility of individual crown information and scaling approaches for lidar-based biomass density estimation. Remote Sensing of Environment, 168, 102-112.
https://doi.org/10.1016/j.rse.2015.06.021, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28105
Rosette, J., Cook, B., Nelson, R., Chengquan Huang, ., Masek, J., Tucker, C., Guoqing Sun, ., Wenli Huang, ., Montesano, P., Rubio-Gil, J., & Ranson, J. (2015). Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative. IEEE Geoscience and Remote Sensing Letters, 12(7), 1511-1515.
https://doi.org/10.1109/LGRS.2015.2411262, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28102
Montesano, P., Rosette, J., Sun, G., North, P., Nelson, R., Dubayah, R., Ranson, K., & Kharuk, V. (2015). The uncertainty of biomass estimates from modeled ICESat-2 returns across a boreal forest gradient. Remote Sensing of Environment, 158, 95-109.
https://doi.org/10.1016/j.rse.2014.10.029, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20856
Mahoney, C., Kljun, N., Los, S., Chasmer, L., Hacker, J., Hopkinson, C., North, P., Rosette, J., & van Gorsel, E. (2014). Slope Estimation from ICESat/GLAS. Remote Sensing, 6(10), 10051-10069.
https://doi.org/10.3390/rs61010051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20676
Mahoney, C., Kljun, N., Los, S., Chasmer, L., Hacker, J., Hopkinson, C., North, P., Rosette, J., & van Gorsel, E. (2014). Slope Estimation from ICESat/GLAS. Remote Sensing, 6(10), 10051-10069.
https://doi.org/10.3390/rs61010051, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18770
http://www.mdpi.com/2072-4292/6/10/10051
Morton, D., Nagol, J., Carabajal, C., Rosette, J., Palace, M., Cook, B., Vermote, E., Harding, D., & North, P. (2014). Amazon forests maintain consistent canopy structure and greenness during the dry season. Nature, 506(7487), 221-224.
https://doi.org/10.1038/nature13006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17297
Rosette, J., North, P., Rubio-Gil, J., Cook, B., Los, S., Suárez, J., Sun, G., Ranson, J., & Blair, J. (2013). Evaluating Prospects for Improved Forest Parameter Retrieval From Satellite LiDAR Using a Physically-Based Radiative Transfer Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(1), 45-53.
https://doi.org/10.1109/JSTARS.2013.2244199, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23562
http://www.scopus.com/inward/record.url?eid=2-s2.0-84891069959&partnerID=MN8TOARS
Los, S., Rosette, J., Kljun, N., North, P., Chasmer, L., Suárez, J., Hopkinson, C., Hill, R., Gorsel, E., Mahoney, C., Berni, J., North, P., Los, S., Rosette, J., & Kljun, N. (2012). Vegetation height and cover fraction between 60° S and 60° N from ICESat GLAS data. Geoscientific Model Development, 5, 413-432.
https://doi.org/10.5194/gmd-5-413-2012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13916
Rosette, J., Suárez, J., North, P., & Los, S. (2011). Forestry Applications for Satellite Lidar Remote Sensing. Photogrammetric Engineering & Remote Sensing, 77(3), 271-279.
https://doi.org/10.14358/PERS.77.3.271, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14116
North, P., Rosette, J., Suárez, J., Los, S., North, P., Los, S., & Rosette, J. (2010). A Monte Carlo radiative transfer model of satellite waveform LiDAR. International Journal of Remote Sensing, 31(5), 1343
https://doi.org/10.1080/01431160903380664, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1018
Rosette, J., North, P., Suárez, J., & Los, S. (2010). Uncertainty within satellite LiDAR estimations of vegetation and topography. International Journal of Remote Sensing, 31(5), 1325
https://doi.org/10.1080/01431160903380631, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7461
Rosette, J., North, P., Suárez, J., Armston, J., North, P., & Rosette, J. (2009). A comparison of biophysical parameter retrieval for forestry using airborne and satellite LiDAR. International Journal of Remote Sensing, 30(19), 5229
https://doi.org/10.1080/01431160903022944, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7455
Rosette, J., North, P., & J.C., S. (2008). Satellite lidar estimation of stemwood volume: a method using waveform decomposition. Photogrammetric Journal of Finland, 21(1), 76-85.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8034
Rosette, J., North, P., & Suárez, J. (2008). Vegetation height estimates for a mixed temperate forest using satellite laser altimetry. International Journal of Remote Sensing, 29(5), 1475
https://doi.org/10.1080/01431160701736380, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7458
Rosette, J. (2008). Stemwood Volume Estimates for a Mixed Temperate Forest using Satellite LiDAR. Journal of Forest Planning, 13-214.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15583

Book Chapters

Rosette, J. (2012). Lidar Remote Sensing for Biomass Assessment. Remote Sensing of Biomass: Principles and ApplicationsInTech
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15575

Supervision

Climate-related tree health and their role in the carbon balance (current)

PhD

Other supervisor: Dr Sietse Los
UAV Remote Sensing For Assessing Forest Health: Investigating the potential for detection and monitoring Oak Decline (current)

PhD

Other supervisor: Prof Peter North

Taught Modules

GEGM06C Environmental Drone Remote Sensing Dissertation

This module offers the opportunity to undertake a major individual research project in the field of Environmental Drone Remote Sensing. Support is provided by a staff supervisor and through student-led discussions. There will also be an opportunity to give constructive feedback to other students undertaking related research projects, learning from their research problems and their subsequent solutions. Provisional research results will be communicated verbally (in July and August). The final results of the thesis will be presented as the scientific paper of a leading international journal in the same field of research.

Dr Jacqueline Rosette

Telephone number

Email address