Professor Peter North

Personal Chair

Geography

+44 (0) 1792 295234

p.r.j.north@swansea.ac.uk

Academic Office - 242
Second Floor
Wallace Building
Singleton Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0001-9933-6935

ResearchGate

About

My interest is the use of global satellite remote sensing to improve understanding of climate change, vegetation health and carbon uptake, and the role of land/atmosphere interactions. I have developed a widely used model (FLIGHT), based on Monte Carlo solution of radiative transfer (North, 1996). This is used to model vegetation photosynthesis and light use efficiency, to relate satellite-measured spectra to land surface properties, and has been extended to model light detection and ranging (LiDAR) (North et al., 2010, Morton et al., 2014), and solar induced fluorescence (Hernandez-Clemente et al 2017). The role of atmospheric aerosols such as wildfire emissions and desert dust is currently a key uncertainty in climate change, air quality, and measurement of the Earth's reflectance. I have developed a method for estimation of atmospheric aerosol loading and surface reflectance (North, 2002, Bevan et al., 2012, Vogel et al 2022). This has been operationalised to provide a long-term global record using the European Space Agency instruments ATSR-2 and AATSR (1995-2012), and continuously updated for the Copernicus Sentinel-3 missions (2016-current). The research is funded under the ESA Climate Change Initiative, and UK NERC Earth Observation Climate Information Service (EOCIS) to provide information for international climate forecast agencies.

Areas Of Expertise

Satellite remote sensing of land and atmosphere
Modelling of land surface interation with the atmosphere

Publications

Research Highlights

Zhang, B., Zhang, L., Pang, Y., North, P., Yan, M., Ren, H., Ruan, L., Yang, Z., & Chen, B. (2024). Improved Forest Signal Detection for Space-Borne Photon-Counting LiDAR Using Automatic Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 1-13.
https://doi.org/10.1109/jstars.2023.3290680, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64010
Vogel, A., Alessa, G., Scheele, R., Weber, L., Dubovik, O., North, P., & Fiedler, S. (2022). Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products. Journal of Geophysical Research: Atmospheres, 127(2)
https://doi.org/10.1029/2021jd035483, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59105
Sogacheva, L., Denisselle, M., Kolmonen, P., Virtanen, T., North, P., Henocq, C., Scifoni, S., & Dransfeld, S. (2022). Extended validation and evaluation of the OLCI–SLSTR SYNERGY aerosol product (SY_2_AOD) on Sentinel-3. Atmospheric Measurement Techniques, 15(18), 5289-5322.
https://doi.org/10.5194/amt-15-5289-2022, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61813
Hornero, A., Zarco-Tejada, P., Quero, J., North, P., Ruiz-Gómez, F., Sánchez-Cuesta, R., & Hernandez-Clemente, R. (2021). Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline. Remote Sensing of Environment, 263, 112570
https://doi.org/10.1016/j.rse.2021.112570, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57483
Hornero, A., North, P., Zarco-Tejada, P., Rascher, U., Martín, M., Migliavacca, M., & Hernandez-Clemente, R. (2021). Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data. Remote Sensing of Environment, 253, 112195
https://doi.org/10.1016/j.rse.2020.112195, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55993
Los, S., Weedon, G., North, P., Kaduk, J., Taylor, C., & Cox, P. (2006). An observation-based estimate of the strength of rainfall-vegetation interactions in the Sahel. Geophysical Research Letters, 33(16)
https://doi.org/10.1029/2006GL027065, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2100
Alton, P., North, P., Kaduk, J., & Los, S. (2005). Radiative transfer modeling of direct and diffuse sunlight in a Siberian pine forest. Journal of Geophysical Research, 110(D23)
https://doi.org/10.1029/2005JD006060, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2105
ALTON, P., NORTH, P., LOS, S., North, P., Los, S., & Alton, P. (2007). The impact of diffuse sunlight on canopy light-use efficiency, gross photosynthetic product and net ecosystem exchange in three forest biomes. Global Change Biology, 13(4), 776-787.
https://doi.org/10.1111/j.1365-2486.2007.01316.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2106
Alton, P., Mercado, L., North, P., North, P., & Alton, P. (2007). A sensitivity analysis of the land-surface scheme JULES conducted for three forest biomes: Biophysical parameters, model processes, and meteorological driving data. Global Biogeochemical Cycles, 20(1)
https://doi.org/10.1029/2005GB002653, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2107
Alton, P., Ellis, R., Los, S., North, P., North, P., Los, S., & Alton, P. (2007). Improved global simulations of gross primary product based on a separate and explicit treatment of diffuse and direct sunlight. Journal of Geophysical Research, 112(D7)
https://doi.org/10.1029/2006JD008022, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2108

All Research

Journal Articles

Zhang, B., Zhang, L., Pang, Y., North, P., Yan, M., Ren, H., Ruan, L., Yang, Z., & Chen, B. (2024). Improved Forest Signal Detection for Space-Borne Photon-Counting LiDAR Using Automatic Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 1-13.
https://doi.org/10.1109/jstars.2023.3290680, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64010
Sogacheva, L., Denisselle, M., Kolmonen, P., Virtanen, T., North, P., Henocq, C., Scifoni, S., & Dransfeld, S. (2022). Extended validation and evaluation of the OLCI–SLSTR SYNERGY aerosol product (SY_2_AOD) on Sentinel-3. Atmospheric Measurement Techniques, 15(18), 5289-5322.
https://doi.org/10.5194/amt-15-5289-2022, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61813
Vogel, A., Alessa, G., Scheele, R., Weber, L., Dubovik, O., North, P., & Fiedler, S. (2022). Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products. Journal of Geophysical Research: Atmospheres, 127(2)
https://doi.org/10.1029/2021jd035483, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59105
Hornero, A., Zarco-Tejada, P., Quero, J., North, P., Ruiz-Gómez, F., Sánchez-Cuesta, R., & Hernandez-Clemente, R. (2021). Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline. Remote Sensing of Environment, 263, 112570
https://doi.org/10.1016/j.rse.2021.112570, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57483
Hornero, A., North, P., Zarco-Tejada, P., Rascher, U., Martín, M., Migliavacca, M., & Hernandez-Clemente, R. (2021). Assessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data. Remote Sensing of Environment, 253, 112195
https://doi.org/10.1016/j.rse.2020.112195, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55993
Gliß, J., Mortier, A., Schulz, M., Andrews, E., Balkanski, Y., Bauer, S., Benedictow, A., Bian, H., Checa-Garcia, R., Chin, M., Ginoux, P., Griesfeller, J., Heckel, A., Kipling, Z., Kirkevåg, A., Kokkola, H., Laj, P., Sager, P., Lund, M...., & North, P. (2021). AeroCom phase III multi-model evaluation of the aerosol life cycle and optical properties using ground- and space-based remote sensing as well as surface in situ observations. Atmospheric Chemistry and Physics, 21(1), 87-128.
https://doi.org/10.5194/acp-21-87-2021, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54247
http://dx.doi.org/10.5194/acp-21-87-2021
Schutgens, N., Sayer, A., Heckel, A., Hsu, C., Jethva, H., Leeuw, G., Leonard, P., Levy, R., Lipponen, A., Lyapustin, A., North, P., Popp, T., Poulsen, C., Sawyer, V., Sogacheva, L., Thomas, G., Torres, O., Wang, Y., Kinne, S...., & Stier, P. (2020). An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation. Atmospheric Chemistry and Physics, 20(21), 12431-12457.
https://doi.org/10.5194/acp-20-12431-2020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54248
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
Sogacheva, L., Popp, T., Sayer, A., Dubovik, O., Garay, M., Heckel, A., Hsu, N., Jethva, H., Kahn, R., Kolmonen, P., Kosmale, M., Leeuw, G., Levy, R., Litvinov, P., Lyapustin, A., North, P., Torres, O., & Arola, A. (2020). Merging regional and global aerosol optical depth records from major available satellite products. Atmospheric Chemistry and Physics, 20(4), 2031-2056.
https://doi.org/10.5194/acp-20-2031-2020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51019
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
Hornero, A., Hernandez-Clemente, R., North, P., Beck, P., Boscia, D., Navas-Cortes, J., & Zarco-Tejada, P. (2020). Monitoring the incidence of Xylella fastidiosa infection in olive orchards using ground-based evaluations, airborne imaging spectroscopy and Sentinel-2 time series through 3-D radiative transfer modelling. Remote Sensing of Environment, 236, 111480
https://doi.org/10.1016/j.rse.2019.111480, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52909
Chen, B., Pang, Y., Li, Z., Lu, H., Liu, L., North, P., Rosette, J., & 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
http://dx.doi.org/10.1109/lgrs.2019.2899011
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
Melendo-Vega, J., Martín, M., Pacheco-Labrador, J., González-Cascón, R., Moreno, G., Pérez, F., Migliavacca, M., García, M., North, P., & Riaño, D. (2018). Improving the Performance of 3-D Radiative Transfer Model FLIGHT to Simulate Optical Properties of a Tree-Grass Ecosystem. Remote Sensing, 10(12), 2061
https://doi.org/10.3390/rs10122061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48040
Che, Y., Mei, L., Xue, Y., Guang, J., She, L., Li, Y., Heckel, A., & North, P. (2018). Validation of Aerosol Products from AATSR and MERIS/AATSR Synergy Algorithms—Part 1: Global Evaluation. Remote Sensing, 10(9), 1414
https://doi.org/10.3390/rs10091414, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49197
Brühl, C., Schallock, J., Klingmüller, K., Robert, C., Bingen, C., Clarisse, L., Heckel, A., North, P., & Rieger, L. (2018). Stratospheric aerosol radiative forcing simulated by the chemistry climate model EMAC using Aerosol CCI satellite data. Atmospheric Chemistry and Physics, 18(17), 12845-12857.
https://doi.org/10.5194/acp-18-12845-2018, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43741
Zarco-Tejada, P., Camino, C., Beck, P., Calderon, R., Hornero, A., Hernandez-Clemente, R., Kattenborn, T., Montes-Borrego, M., Susca, L., Morelli, M., Gonzalez-Dugo, V., North, P., Landa, B., Boscia, D., Saponari, M., & Navas-Cortes, J. (2018). Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nature Plants, 4(7), 432-439.
https://doi.org/10.1038/s41477-018-0189-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40810
Verrelst, J., Malenovský, Z., Van der Tol, C., Camps-Valls, G., Gastellu-Etchegorry, J., Lewis, P., North, P., & Moreno, J. (2018). Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods. Surveys in Geophysics, 1-41.
https://doi.org/10.1007/s10712-018-9478-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40562
https://rdcu.be/RT5m
Bye, I., North, P., Los, S., Kljun, N., Rosette, J., Hopkinson, C., Chasmer, L., & Mahoney, C. (2017). Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model. Remote Sensing of Environment, 188, 177-189.
https://doi.org/10.1016/j.rse.2016.10.048, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31335
Nikonovas, T., North, P., & Doerr, S. (2017). Particulate emissions from large North American wildfires estimated using a new top-down method. Atmospheric Chemistry and Physics, 17(10), 6423-6438.
https://doi.org/10.5194/acp-17-6423-2017, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33148
Hernandez-Clemente, R., North, P., Hornero, A., & Zarco-Tejada, P. (2017). Assessing the effects of forest health on sun-induced chlorophyll fluorescence using the FluorFLIGHT 3-D radiative transfer model to account for forest structure. Remote Sensing of Environment, 193, 165-179.
https://doi.org/10.1016/j.rse.2017.02.012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32733
Sobrino, J., Jiménez-Muñoz, J., Sòria, G., Ruescas, A., Danne, O., Brockmann, C., Ghent, D., Remedios, J., North, P., Merchant, C., Berger, M., Mathieu, P., & Göttsche, F. (2016). Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data. Remote Sensing of Environment, 179, 149-161.
https://doi.org/10.1016/j.rse.2016.03.035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28003
http://dx.doi.org/10.1016/j.rse.2016.03.035
Morton, D., Nagol, J., Carabajal, C., Rosette, J., Palace, M., Cook, B., Vermote, E., Harding, D., & North, P. (2016). Morton et al. reply, Dry-season greening of Amazon forests. Nature, 531(7594), E6-E6.
https://doi.org/10.1038/nature16458, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26870
http://www.nature.com/nature/journal/v531/n7594/full/nature16458.html
Popp, T., Leeuw, G., Bingen, C., Brühl, C., Capelle, V., Chedin, A., Clarisse, L., Dubovik, O., Grainger, R., Griesfeller, J., Heckel, A., Kinne, S., Klüser, L., Kosmale, M., Kolmonen, P., Lelli, L., Litvinov, P., Mei, L., North, P...., & Xue, Y. (2016). Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci). Remote Sensing, 8(5), 421
https://doi.org/10.3390/rs8050421, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28080
Nikonovas, T., North, P., & Doerr, S. (2015). Smoke aerosol properties and ageing effects for Northern temperate and boreal regions derived from AERONET source and age attribution. Atmospheric Chemistry and Physics, 15(5), 6445-6479.
https://doi.org/10.5194/acpd-15-6445-2015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24000
Davies, W. & North, P. (2015). Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data. Atmospheric Measurement Techniques, 8(4), 1719-1731.
https://doi.org/10.5194/amt-8-1719-2015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20858
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
Leeuw, G., Holzer-Popp, T., Bevan, S., Davies, W., Descloitres, J., Grainger, R., Griesfeller, J., Heckel, A., Kinne, S., Klüser, L., Kolmonen, P., Litvinov, P., Martynenko, D., North, P., Ovigneur, B., Pascal, N., Poulsen, C., Ramon, D., Schulz, M...., & Pinnock, S. (2015). Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis. Remote Sensing of Environment, 162, 295-315.
https://doi.org/10.1016/j.rse.2013.04.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18722
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
Bevan, S., Los, S., & North, P. (2014). Response of vegetation to the 2003 European drought was mitigated by height. Biogeosciences, 11(11), 2897-2908.
https://doi.org/10.5194/bg-11-2897-2014, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18721
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
Leonenko, G., Los, S., & North, P. (2013). Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment, 139, 257-270.
https://doi.org/10.1016/j.rse.2013.07.012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16822
Bevan, S., Los, S., & North, P. (2013). Response of vegetation to the 2003 European drought was mitigated by height. Biogeosciences Discussions, 10(10), 16075-16100.
https://doi.org/10.5194/bgd-10-16075-2013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16823
Leonenko, G., Los, S., & North, P. (2013). Statistical Distances and Their Applications to Biophysical Parameter Estimation: Information Measures, M-Estimates, and Minimum Contrast Methods. Remote Sensing, 5(3), 1355-1388.
https://doi.org/10.3390/rs5031355, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16812
Holzer-Popp, T., Leeuw, G., Griesfeller, J., Martynenko, D., Klüser, L., Bevan, S., Davies, W., Ducos, F., Deuzé, J., Graigner, R., Heckel, A., Hoyningen-Hüne, W., Kolmonen, P., Litvinov, P., North, P., Poulsen, C., Ramon, D., Siddans, R., Sogacheva, L...., & Bevan, S. (2013). Aerosol retrieval experiments in the ESA Aerosol_cci project. Atmospheric Measurement Techniques, 6(8), 1919-1957.
https://doi.org/10.5194/amt-6-1919-2013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15031
Kanniah, K., Beringer, J., North, P., Hutley, L., & North, P. (2012). Control of atmospheric particles on diffuse radiation and terrestrial plant productivity: A review. Progress in Physical Geography, 36(2), 209
https://doi.org/10.1177/0309133311434244, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8026
Guillen-Climent, M., Zarco-Tejada, P., Berni, J., North, P., & Villalobos, F. (2012). Mapping radiation interception in row-structured orchards using 3D simulation and high-resolution airborne imagery acquired from a UAV. Precision Agriculture, 13(4), 473-500.
https://doi.org/10.1007/s11119-012-9263-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8025
Bevan, S., North, P., Los, S., & Grey, W. (2012). A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR. Remote Sensing of Environment, 116, 199-210.
https://doi.org/10.1016/j.rse.2011.05.024, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13166
Carboni, E., Thomas, G., Sayer, A., Siddans, R., Poulsen, C., Grainger, R., Ahn, C., Antoine, D., Bevan, S., Braak, R., Brindley, H., DeSouza-Machado, S., Deuzé, J., Diner, D., Ducos, F., Grey, W., Hsu, C., Kalashnikova, O., Kahn, R...., & Bevan, S. (2012). Intercomparison of desert dust optical depth from satellite measurements. Atmospheric Measurement Techniques, 5(8), 1973-2002.
https://doi.org/10.5194/amt-5-1973-2012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15033
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
Kokhanovsky, A., Deuzé, J., Diner, D., Dubovik, O., Ducos, F., Emde, C., Garay, M., Grainger, R., Heckel, A., Herman, M., Katsev, I., Keller, J., Levy, R., North, P., Prikhach, A., Rozanov, V., Sayer, A., Ota, Y., Tanré, D...., & Zege, E. (2010). The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light. Atmospheric Measurement Techniques, 3(4), 909-932.
https://doi.org/10.5194/amt-3-909-2010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1015
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
Davies, W., North, P., Grey, W., & Barnsley, M. (2010). Improvements in Aerosol Optical Depth Estimation Using Multiangle CHRIS/PROBA Images. IEEE Transactions on Geoscience and Remote Sensing, 48(1), 18
https://doi.org/10.1109/TGRS.2009.2027024, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7459
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
Bevan, S., North, P., Grey, W., Los, S., & Plummer, S. (2009). Impact of atmospheric aerosol from biomass burning on Amazon dry-season drought. Journal of Geophysical Research, 114(D9), n/a
https://doi.org/10.1029/2008JD011112, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1017
Prieto-Blanco, A., North, P., Barnsley, M., & Fox, N. (2009). Satellite-driven modelling of Net Primary Productivity (NPP): Theoretical analysis. Remote Sensing of Environment, 113(1), 137-147.
https://doi.org/10.1016/j.rse.2008.09.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa1019
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
Houldcroft, C., Grey, W., Barnsley, M., Taylor, C., Los, S., & North, P. (2009). New Vegetation Albedo Parameters and Global Fields of Soil Background Albedo Derived from MODIS for Use in a Climate Model. Journal of Hydrometeorology, 10(1), 183
https://doi.org/10.1175/2008JHM1021.1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7457
Kokhanovsky, A., Curier, R., Leeuw, G., Grey, W., Lee, K., Bennouna, Y., Schoemaker, R., & North, P. (2009). The inter-comparison of AATSR dual-view aerosol optical thickness retrievals with results from various algorithms and instruments. International Journal of Remote Sensing, 30(17), 4525
https://doi.org/10.1080/01431160802578012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7460
Kempeneers, P., Zarco‐Tejada, P., North, P., Backer, S., Delalieux, S., Sepulcre‐Cantó, G., Morales, F., Aardt, J., Sagardoy, R., Coppin, P., & Scheunders, P. (2008). Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery. International Journal of Remote Sensing, 29(17-18), 5093
https://doi.org/10.1080/01431160802036458, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7456
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
Widlowski, J., Robustelli, M., Disney, M., Gastellu-Etchegorry, J., Lavergne, T., Lewis, P., North, P., Pinty, B., Thompson, R., & Verstraete, M. (2008). The RAMI On-line Model Checker (ROMC): A web-based benchmarking facility for canopy reflectance models. Remote Sensing of Environment, 112(3), 1144
https://doi.org/10.1016/j.rse.2007.07.016, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa7462
Rosette, J., North, P., & Suarez, J. (2008). Vegetation height and stemwood volume estimates for a mixed temperate forest using satellite LiDAR.. Japanese Journal of Forest Planning, Special Issue: LiDAR Application in Forestry, 13, 205-14.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8033
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
ALTON, P., NORTH, P., LOS, S., North, P., Los, S., & Alton, P. (2007). The impact of diffuse sunlight on canopy light-use efficiency, gross photosynthetic product and net ecosystem exchange in three forest biomes. Global Change Biology, 13(4), 776-787.
https://doi.org/10.1111/j.1365-2486.2007.01316.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2106
Alton, P., Mercado, L., North, P., North, P., & Alton, P. (2007). A sensitivity analysis of the land-surface scheme JULES conducted for three forest biomes: Biophysical parameters, model processes, and meteorological driving data. Global Biogeochemical Cycles, 20(1)
https://doi.org/10.1029/2005GB002653, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2107
Alton, P., Ellis, R., Los, S., North, P., North, P., Los, S., & Alton, P. (2007). Improved global simulations of gross primary product based on a separate and explicit treatment of diffuse and direct sunlight. Journal of Geophysical Research, 112(D7)
https://doi.org/10.1029/2006JD008022, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2108
Kokhanovsky, A., Breon, F., Cacciari, A., Carboni, E., Diner, D., Nicolantonio, W., Grainger, R., Grey, W., Höller, R., Lee, K., Li, Z., North, P., Sayer, A., Thomas, G., & Hoyningen-Huene, W. (2007). Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments. Atmospheric Research, 85(3-4), 372-394.
https://doi.org/10.1016/j.atmosres.2007.02.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16808
Alton, P. & North, P. (2007). Interpreting shallow, vertical nitrogen profiles in tree crowns: A three-dimensional, radiative-transfer simulation accounting for diffuse sunlight. Agricultural and Forest Meteorology, 145(1-2), 110-124.
https://doi.org/10.1016/j.agrformet.2007.04.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16806
Widlowski, J., Taberner, M., Pinty, B., Bruniquel-Pinel, V., Disney, M., Fernandes, R., Gastellu-Etchegorry, J., Gobron, N., Kuusk, A., Lavergne, T., Leblanc, S., Lewis, P., Martin, E., Mõttus, M., North, P., Qin, W., Robustelli, M., Rochdi, N., Ruiloba, R...., & North, P. (2007). Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models. Journal of Geophysical Research, 112(D9)
https://doi.org/10.1029/2006JD007821, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16804
Los, S., Weedon, G., North, P., Kaduk, J., Taylor, C., & Cox, P. (2006). An observation-based estimate of the strength of rainfall-vegetation interactions in the Sahel. Geophysical Research Letters, 33(16)
https://doi.org/10.1029/2006GL027065, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2100
Grey, W., North, P., & Los, S. (2006). Computationally efficient method for retrieving aerosol optical depth from ATSR-2 and AATSR data. Applied Optics, 45(12), 2786
https://doi.org/10.1364/AO.45.002786, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16802
Grey, W., North, P., Los, S., Mitchell, R., & Los, S. (2006). Aerosol optical depth and land surface reflectance from multiangle AATSR measurements: global validation and intersensor comparisons. IEEE Transactions on Geoscience and Remote Sensing, 44(8), 2184
https://doi.org/10.1109/TGRS.2006.872079, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2089
Alton, P., North, P., Kaduk, J., & Los, S. (2005). Radiative transfer modeling of direct and diffuse sunlight in a Siberian pine forest. Journal of Geophysical Research, 110(D23)
https://doi.org/10.1029/2005JD006060, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2105
Los, S., North, P., Grey, W., Barnsley, M., & Los, S. (2005). A method to convert AVHRR Normalized Difference Vegetation Index time series to a standard viewing and illumination geometry. Remote Sensing of Environment, 99(4), 400-411.
https://doi.org/10.1016/j.rse.2005.08.017, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16801
Pinty, B., J-L, W., Taberner, M., Gobron, N., Verstraete, M., M.,, D., F.,, G., J.-P., G., jiang, L., Kuusk, A., Lewis, P., X, L., Ni-Meister, W., Nilson, T., North, P., Qin, W., L, S., Tang, S., Thompson, R...., & Zang, H. (2004). Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase. Journal of Geophysical Research, 109(D6)
https://doi.org/10.1029/2003JD004252, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16799
Dawson, T., North, P., Plummer, S., & Curran, P. (2003). Forest ecosystem chlorophyll content: Implications for remotely sensed estimates of net primary productivity. International Journal of Remote Sensing, 24(3), 611-617.
https://doi.org/10.1080/01431160304984, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16798
North, P. (2002). Estimation of fAPAR, LAI, and vegetation fractional cover from ATSR-2 imagery. Remote Sensing of Environment, 80(1), 114-121.
https://doi.org/10.1016/S0034-4257(01)00292-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16797
North, P. (2002). Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR-2 dual-angle imagery: Operational method and validation. Journal of Geophysical Research, 107(D12)
https://doi.org/10.1029/2000JD000207, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2088
Pinty, B., Gobron, N., Widlowski, J., Gerstl, S., Verstraete, M., Antunes, M., Bacour, C., Gascon, F., Gastellu, J., Goel, N., Jacquemoud, S., North, P., Qin, W., & Thompson, R. (2001). Radiation transfer model intercomparison (RAMI) exercise. Journal of Geophysical Research: Atmospheres, 106(D11), 11937-11956.
https://doi.org/10.1029/2000JD900493, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16796
Barton, C. & North, P. (2001). Remote sensing of canopy light use efficiency using the photochemical reflectance index. Remote Sensing of Environment, 78(3), 264
https://doi.org/10.1016/S0034-4257(01)00224-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2087
Disney, M., Lewis, P., & North, P. (2000). Monte Carlo ray tracing in optical canopy reflectance modelling. Remote Sensing Reviews, 18(2-4), 163-196.
https://doi.org/10.1080/02757250009532389, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16795
North, P., Briggs, S., Plummer, S., & Settle, J. (1999). Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multiangle imagery. IEEE Transactions on Geoscience and Remote Sensing, 37(1), 526-537.
https://doi.org/10.1109/36.739106, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18000
Mutlow, C., Murray, M., Smith, D., Watts, P., & North, P. (1999). New data sets for climate change and land use studies are on track. Eos, Transactions American Geophysical Union, 80(49), 589
https://doi.org/10.1029/99EO00398, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16794
Dawson, T., Curran, P., North, P., & Plummer, S. (1999). The Propagation of Foliar Biochemical Absorption Features in Forest Canopy Reflectance. Remote Sensing of Environment, 67(2), 147-159.
https://doi.org/10.1016/S0034-4257(98)00081-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16793
Gerard, F. & North, P. (1997). Analyzing the effect of structural variability and canopy gaps on forest BRDF using a geometric-optical model. Remote Sensing of Environment, 62(1), 46-62.
https://doi.org/10.1016/S0034-4257(97)00070-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16792
North, P. (1996). Three-dimensional forest light interaction model using a Monte Carlo method. IEEE Transactions on Geoscience and Remote Sensing, 34(4), 946-956.
https://doi.org/10.1109%2F36.508411, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16791

Book Chapters

Rosette, J., Surez, J., Nelson, R., Los, S., Cook, B., & North, P. (2012). Lidar Remote Sensing for Biomass Assessment. Remote Sensing of Biomass - Principles and Applications, Temilola Fatoyinbo (Ed.), InTech Open Access Publisher (pp. 1-25). InTech
https://doi.org/10.5772/17479, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16828
http://www.intechopen.com/books/remote-sensing-of-biomass-principles-and-applications/lidar-remote-sensing-for-biomass-assessment
W.M.F., G. & North, P. (2009). Aerosol Optical Depth from multiview-angle AATSR satellite observations. Satellite Aerosol Remote Sensing Over Land, A. Kokhanovsky and Gerrit De Leeuw (Eds). Springer Praxis Books (pp. 161-192). Springer Praxis Books
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8027
http://link.springer.com/book/10.1007%2F978-3-540-69397-0

Conference Contributions

Hernandez-Clemente, R., North, P., Hornero, A., & Zarco-Tejada, P. (2018). Monitoring Forest Health with Sun-Induced Chlorophyll Fluorescence Observations and 3-D Radiative Transfer Modeling. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 5999-6002).
https://doi.org/10.1109/IGARSS.2018.8519389, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50220
Henocq, C., North, P., Heckel, A., Ferron, S., Lamquin, N., Dransfeld, S., Bourg, L., TOTE, C., & Ramon, D. (2018). OLCI/SLSTR SYN L2 Algorithm and Products Overview. In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 8723-8726). IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.
https://doi.org/10.1109/IGARSS.2018.8517420, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49890
Moreno, J., Colombo, R., Damm, A., Goulas, Y., Middleton, E., Miglietta, F., Mohammed, G., Mottus, M., North, P., Rascher, U., Tol, C., & Drusch, M. (2017). Quantitative global mapping of terrestrial vegetation photosynthesis: The Fluorescence Explorer (FLEX) mission. In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)IEEE.
https://doi.org/10.1109/igarss.2017.8126987, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54249
Lewis, P., Guanter, L., Saldana, G., Muller, J., Watson, G., Shane, N., Kennedy, T., Fisher, J., Domenech, C., Preusker, R., North, P., Heckel, A., Danne, O., Kramer, U., Zuhlke, M., Fomferra, N., Brockmann, C., & Schaaf, C. (2012). The ESA globAlbedo project: Algorithm. In 2012 IEEE International Geoscience and Remote Sensing Symposium (pp. 5745-5748). IEEE.
https://doi.org/10.1109/igarss.2012.6352306, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22554
http://dx.doi.org/10.1109/igarss.2012.6352306
North, P., Brockmann, C., Fischer, J., Gomez-Chova, L., Grey, W., Heckle, A., Moreno, J., Preusker, R., & Regner, P. (2008). MERIS/AATSR synergy algorithms for cloud screening, aerosol retrieval and atmospheric correction. In n Proc. 2nd MERIS/AATSR User Workshop, ESRIN, Frascati, 22-26 September 2008. (CD-ROM)SA Publications Division, European Space Agency.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa8039

Supervision

Detection Of Metabolic Response To Early Pathogen Infection Using Hyperspectral Reflectance (current)

PhD

Other supervisor: Dr Jacqueline Rosette
Desertification in Iraq: impact of changes in hydrology and human migration using a geomatic approach (current)

PhD

Other supervisor: Dr Jacqueline Rosette
Investigating the potential for detecting Oak Decline using Unmanned Aerial Vehicle (UAV) Remote Sensing (awarded 2023)

PhD

Other supervisor: Dr Jacqueline Rosette
Modelling Coastal Vulnerability An integrated approach to coastal management using earth observation techniques in Belize (awarded 2023)

MSc

Other supervisor: Dr Sietse Los

Other supervisor: Dr Sietse Los
A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET. (awarded 2024)

MSc

Other supervisor: Dr Sietse Los

Taught Modules

GEG135 Sustainability and the Climate Emergency

This module is an introduction to global environmental change and explores aspects of the issue of sustainability as it affects everyday lives. The challenge of sustainability is significant and the lectures will provide you with the information needed to engage with the UN's Sustainable Development Goals.
GEG236 Earth from Space: Monitoring Global Environmental Change

This module introduces the growing role of Earth Observation in Geography, in the context of monitoring global environmental change. Emphasis will be given to practical use of airborne and satellite imagery in a range of geographical applications. In addition to a grounding in the principles of remote sensing, the course will offer in-depth understanding of the use of satellite observations in the study of global change in particular of deforestation and desertification. Practical exercises will teach image processing skills and familiarity with the range of information sources available for remotely sensed imagery.
GEG278 Dissertation Preparation Skills

This module builds upon student knowledge of social research methods and environmental methods (delivered in GEG277) through to the formulation of a dissertation proposal. The module focuses on key dissertation planning and preparation skills.
GEG331 Dissertation Report: Geography

The dissertation is an original, substantive and independent research project in an aspect of Geography. The dissertation research project is based on 20 - 25 days of primary research (e.g fieldwork, lab work, archive work) and several months of analysis and write-up. The end result must be less than 10,000 words of text. The dissertation offers you the chance to follow your personal interests and to demonstrate your capabilities as a Geographer. During the course of your dissertation, you will be supported by a peer-led discussion group and a staff supervisor. Lectures and guidance are delivered via this module and peer and staff led Dissertation Support Groups are delivered via GEG332. Participating in Dissertation Support Groups is vital, and is assessed and, in these groups, students will provide constructive criticism to fellow students undertaking related research projects, learning from their research problems and subsequent solutions. This support and supervision is delivered through GEG332, which is a co- requisite.
GEG332 Dissertation Support: Geography

This module provides structured, student-led peer-group support and academic staff group supervision for students undertaking the 30-credit 'Dissertation Report: Geography' module. This support and supervision is assessed through the submission of the Dissertation Outline and the Dissertation Support Group Reflection and Attendance Log. Working within a supervised Student Peer Group, students have the opportunity to provide constructive criticism to fellow students undertaking related research projects, learning from their research problems and subsequent solutions. Group sessions are the main support provision as student¿s work through their Dissertation. This module complements the 'Dissertation Report: Geography' module, which is a co-requisite.
GEGM03 Drone Accreditation and Remote Sensing

This Module teaches the flight skills, legislative and regulatory requirements for operating a drone in the UK. Students will gain an overview of the advantages and limitations of different types of drone; opportunities offered by high resolution user-captured remote sensing data; and environmental applications for drones. Much of the teaching is practice-based and students will develop the knowledge, safety awareness and flight experience required to undertake assessment for the Civil Aviation Authority GVC (General Visual Line of Sight Certificate). Students will therefore graduate with the additional CAA GVC remote pilot accreditation, comprising theoretical training and written graded test, and flight training and assessment. This Module will be delivered in partnership with a CAA registered and authorised training provider. The externally-assessed syllabus comprises: Drone Airspace Operating Regulations; Airmanship and Aviation Safety; Air Law and Responsibilities; Meteorology; Navigation and Aviation Charts; Human Factors; Aircraft Knowledge; Operating Procedures. Students will additionally gain knowldege of drone mission planning, data capture and processing for 3D reconstruction or image mosaic creation for remote sensing applications. This Module is a prerequisite of GEGM03C Environmental Drone Remote Sensing Dissertation.
GEGM04 Environmental Modelling

An understanding of the environment is increasingly important in many areas, e.g. industry, agriculture, conservation, health, science, and planning. This module introduces computational modelling in a geographical context. It aims to develop thinking about environmental issues within a modelling framework, and to develop practical skills in developing and using computational models, and in computer data analysis and visualisation. Examples are focused on solving practical scientific problems in environmental dynamics and climate change, focussing on modelling the terrestrial carbon and hydrological cycles.
GEGM09 Environmental Drone Remote Sensing

This module will teach students to plan, capture and process their own high-resolution datasets using multispectral, thermal and RGB sensors on board drone platforms. Students will learn the principles of photography applied to drone imagery, including multi-spectral analysis, and extended to 3D perception and stereo imagery analysis. Next, this knowledge will be related to image capture from a moving platform, and the effect of flight parameters. This knowledge will then be used to inform flight mission planning for a range of environmental monitoring applications. Students will apply and be tested in the skills learnt for real-world needs through three assessed project assignments, demonstrating application of multi-spectral, thermal and 3D structure data.

Career History

Professor in Dept. of Geography, , Swansea University

2011 - Present
Reader in Dept. of Geography, Swansea University

2009 - 2011
Lecturer/Senior lecturer in Dept. of Geography, Swansea University

2000 - 2009
Higher Scientific Officer, NERC Centre for Ecology and Hydrology (CEH)

1995 - 2000
Research Fellow, NERC Environmental Systems Science Centre (ESSC)

1992 - 1995

Professor Peter North

Telephone number

Email address

Research Links

About

Areas Of Expertise

Publications

Research Highlights

All Research

Journal Articles

Book Chapters

Conference Contributions

Supervision

Detection Of Metabolic Response To Early Pathogen Infection Using Hyperspectral Reflectance (current)

Desertification in Iraq: impact of changes in hydrology and human migration using a geomatic approach (current)

Investigating the potential for detecting Oak Decline using Unmanned Aerial Vehicle (UAV) Remote Sensing (awarded 2023)

Modelling Coastal Vulnerability An integrated approach to coastal management using earth observation techniques in Belize (awarded 2023)

A comparison of the relationship between ground-measured particulate matter and aerosol optical depth derived from both Sentinel-3a and AERONET. (awarded 2024)

Taught Modules

GEG135 Sustainability and the Climate Emergency

GEG236 Earth from Space: Monitoring Global Environmental Change

GEG278 Dissertation Preparation Skills

GEG331 Dissertation Report: Geography

GEG332 Dissertation Support: Geography

GEGM03 Drone Accreditation and Remote Sensing

GEGM04 Environmental Modelling

GEGM09 Environmental Drone Remote Sensing

Career History

Professor in Dept. of Geography, , Swansea University

Reader in Dept. of Geography, Swansea University

Lecturer/Senior lecturer in Dept. of Geography, Swansea University

Higher Scientific Officer, NERC Centre for Ecology and Hydrology (CEH)

Research Fellow, NERC Environmental Systems Science Centre (ESSC)