Professor Paul Aplin
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I joined 91ÖÆƬ³§ in 2022, after 15 years as a lecturer/senior lecturer at the University of Nottingham, and 7 years in a research leadership position as Professor of Geography at Edge Hill University.
I have wide international experience as an educator, teaching variously around Ireland and the UK, and further afield, including MSc Environmental Science at Central European University in Hungary, guest lecturing to Master's students in Chile and China, and delivering postgraduate summer schools for the International Society for Photogrammetry and Remote Sensing in Ethiopia and Poland.
I have contributed to the discipline via a broad range of academic service activities, currently engaged as the Editor-in-Chief for (Observation and Monitoring Section) and on the editorial boards for , , and . I am a Fellow (former Ralph Brown Award winner) of the Royal Geographical Society, Member (Grants Review Panellist) of the British Society for Ecology, and Member (former Chair) of the Remote Sensing and Photogrammetry Society; and I served terms as Council Member of the European Association of Remote Sensing Laboratories and National Delegate (UK) to the International Society for Photogrammetry and Remote Sensing, also acting as ISPRS Book Series Editor for eight years.
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Google Scholar:
Duncanson, L., Kellner, J.R., Armston, J., Dubayah, R., … Aplin, P., et al. (2022) Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270, 112845. DOI:
Amoakoh, A.O., Aplin, P., Awuah, K.T., Delgado-Fernandez, I., Moses, C., Peña Alonso, C., Kankam, S. and Mensah, J.C. (2021) Testing the Contribution of Multi-Source Remote Sensing Features for Random Forest Classification of the Greater Amanzule Tropical Peatland. Sensors, 21, 3399. DOI:
Altamirano, A., Miranda, A., Aplin, P., Carrasco, J., Catalán, G., Cayuela-Delgado, L., Fuentes-Castillo, T., Hernández, A., MartÃnez-Harms, M.J., Peluso, F., Prado, M., Reyes-Riveros, R., Van Holt, T., Vergara, C., Zamorano-Elgueta, C. and Di Bella, C. (2020) Natural forests loss and tree plantations: large-scale tree cover loss differentiation in a threatened biodiversity hotspot. Environmental Research Letters, 15 124055. DOI:
Awuah, K.T., Aplin, P., Marston, C.G., Powell, I. and Smit, I.P.J. (2020) Probabilistic Mapping and Spatial Pattern Analysis of Grazing Lawns in Southern African Savannahs Using WorldView-3 Imagery and Machine Learning Techniques. Remote Sensing, 12, 3357. DOI:
Cooper, H., Evers, S., Aplin, P., Crout, N., Bin Dahalan, M.P. and Sjogersten, S. (2020) Greenhouse gas emissions peak during conversion of peat swamp forest to oil palm plantation. Nature Communications, 11, 407. DOI:
Gumel, I.A., Aplin, P., Marston, C.G. and Morley, J. (2020) Time-Series Satellite Imagery Demonstrates the Progressive Failure of a City Master Plan to Control Urbanization in Abuja, Nigeria. Remote Sensing, 12, 1112. DOI:
Martin-Gallego, P., Aplin, P., Marston, C., Altamirano, A. and Pauchard, A. (2020) Detecting and modelling alien tree presence using Sentinel-2 satellite imagery in Chile’s temperate forests. Forest Ecology and Management, 474, 118353. DOI:
Sjogersten, S., Turner, B.L., Gauci, V., Aplin, P., Siegenthaler, A. and Lopez, O. (2020) Methane emissions from tree stems in neotropical peatlands. New Phytologist, 225, 769-781. DOI:
Charters, L., Aplin, P., Marston, C.G., Padfield, R., Rengasamy, N., Bin Dahalan, M.P. and Evers, S. (2019) Peat swamp forest conservation withstands pervasive land conversion to oil palm plantation in North Selangor, Malaysia. International Journal of Remote Sensing, 40, 7409-7438. DOI:
Cooper, H., Vane, C.H., Evers, S., Aplin, P., Girkin, N. and Sjogersten, S. (2019) From peat swamp forest to oil palm plantations: the stability of tropical peatland carbon. Geoderma, 342, 109-117. DOI:
Padfield, R., Hansen, S., Davies, Z.G., Ehrensperger, A., Slade, E., Evers, S., Papargyropoulou, E., Bessou, C., Abdullah, N., Page, S., Ancrenaz, M., Aplin, P. et al. (2019) Co-producing a research agenda for sustainable palm oil. Frontiers in Forests and Global Change, 2, 13. DOI:
Brown, C., Boyd, D.S., Sjogersten, S., Clewley, D., Evers, S.L. and Aplin, P. (2018) Tropical peatland vegetation structure and biomass: optimal exploitation of airborne laser scanning. Remote Sensing, 10, 671. DOI:
Sjogersten, S., Aplin, P., Gauci, V., Peacock, M., Siegenthaler, A. and Turner, B.L. (2018) Temperature response of ex-situ greenhouse gas emissions from tropical peatlands: interactions between forest type and peat moisture conditions. Geoderma, 324, 47-55. DOI:
Marston, C., Aplin, P., Wilkinson, D., Field, R. and O’Regan, H. (2017) Scrubbing Up: Multi-Scale Investigation of Woody Encroachment in a Southern African Savannah. Remote Sensing, 9, 1-24. DOI:
Tonks, A.J., Aplin, P., Beriro, D.J., Cooper, H., Evers, S., Vane, C.H. and Sjögersten, S. (2017) Impacts of conversion of tropical peat swamp forest to oil palm plantation on peat organic chemistry, physical properties and C stocks. Geoderma, 289, 36-45. DOI:
Momeni, R., Aplin, P. and Boyd, D.S. (2016) Mapping complex urban land cover from spaceborne imagery: the influence of spatial resolution, spectral band set and classification approach. Remote Sensing, 8, 88. DOI:
Aplin, P. and Boyd, D.S. (2015) Innovative technologies for terrestrial remote sensing. Remote Sensing, 7, 4968-4972. DOI:
Lawson, I., Kelly, T., Aplin, P. et al. (2015) Improving estimates of tropical peatland area, carbon storage, and greenhouse gas fluxes. Wetland Ecology and Management, 23, 327-346. DOI:
Feng, X., Foody, G., Aplin, P. and Gosling, S.N. (2015) Enhancing the spatial resolution of satellite-derived land surface temperature mapping for urban areas. Sustainable Cities and Society, 19, 341-348. DOI:
Altamirano, A., Aplin, P., Miranda, A., Cayuela, L., Algar, A. and Field, T. (2013) High rates of forest loss and turnover obscured by classical landscape measures. Applied Geography, 40, 199-211. DOI:
Holland, J. and Aplin, P. (2013) Super-resolution image analysis as a means of monitoring bracken (Pteridium aquilinum) distributions. ISPRS Journal of Remote Sensing and Photogrammetry, 75, 48-63. DOI:
Mello, M., Vieira, C., Rudorff, B., Aplin, P., Santos, R.D.C. and Aguiar, D.A. (2013) STARS: a new method for multitemporal remote sensing. IEEE Transactions on Geoscience and Remote Sensing, 51, 1897-1913. DOI:
Mello, M.P., Risso, J., Atzberger, C., Aplin, P., Pebesma, E., Vieira, C.A.O. and Rudorff, B.F.T. (2013) Bayesian networks for raster data (BayNeRD): plausible reasoning from observations. Remote Sensing, 5, 5999-6025. DOI:
Aplin, P., Boyd, D., Danson, F.M., Donoghue, D., Ferrier, G., Galiatsatos, N., Marsh, A., Pope, A., Ramirez, F.A. and Tate, N. (2012) The Earth Observation Technology Cluster. International Archives in the Photogrammetry, Remote Sensing and Spatial Information Sciences, 39(B6), 31-36.
Smith, G. and Aplin, P. (2011) An introduction to object-based landscape analysis. International Journal of Geographical Information Science, 25, 869-875. DOI:
Altamirano, A., Field, R., Cayuela, L., Aplin, P., Lara, A. and Rey-Benayas, J.M. (2010) Woody species diversity in temperate Andean forests: the need for new conservation strategies. Biological Conservation, 143, 2080-2091. DOI:
Aplin, P. (2010) Using remotely sensed imagery. Key Methods in Geography, Second Edition, Clifford, N., Valentine, G. and French, S. (editors), London, Sage, 299-313.
Harvey, G., Mount, N., Aplin, P. And Priestnall, G. (2009) Introduction to representing, modeling and visualizing the natural environment. Representing, Modeling and Visualizing the Natural Environment, Mount, N., Harvey, G., Aplin, P. and Priestnall, G. (editors) CRC Press, Boca Raton, 1-8.
Teeuw, R., Aplin, P., McWilliam, N., Wicks, T., Kervyn, M. and Ernst, G. (2009) Hazard assessment and disaster management using remote sensing. Handbook of Remote Sensing, Warner, T., Nellis, M.D. and Foody, G.M. (editors), Sage, Thousand Oaks, 446-458.
Aplin, P. and Smith, G.M. (2008) Advances in object-based image classification. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B7), 725-728.
Du, P., Aplin, P. and Jackson, M. (2008) Remote sensing education in China and the UK: synergy and opportunities. International Archives in the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B6a), 1-4.
Aplin, P. (2006) On scales and dynamics in observing the environment. International Journal of Remote Sensing, 26, 2123-2140. DOI:
Priestnall, G. and Aplin, P. (2006) Spatial and temporal remote sensing requirements for river monitoring. International Journal of Remote Sensing, 26, 2111-2120. DOI:
Aplin, P. (2005) Remote sensing: ecology. Progress in Physical Geography, 29, 104-113. DOI:
Lloyd, C., Atkinson, P.M. and Aplin, P. (2005) Characterising local spatial variation in land cover using geostatistical functions and the discrete wavelet transform. Geostatistics for Environmental Applications, Renard, P., Demougeot-Renard, H. and Froidevaux, R. (editors), Springer, Berlin, 391-402.
Aplin, P. and Atkinson, P.M. (2004) Predicting missing field boundaries to increase per-field classification accuracy. Photogrammetric Engineering and Remote Sensing, 70, 141-149. DOI:
Aplin, P., 2004, Remote sensing: land cover, Progress in Physical Geography, 28, 283-293. DOI:
Atkinson, P.M. and Aplin, P. (2004) Spatial variation in land cover and choice of spatial resolution for remote sensing. International Journal of Remote Sensing, 25, 3687-3702. DOI:
Aplin, P. (2003) Comparison of simulated IKONOS and SPOT HRV imagery for classifying urban areas. Remotely-Sensed Cities, Mesev, V. (editor), Taylor and Francis, London, 23-45.
Aplin, P. (2003) Remote sensing: base mapping. Progress in Physical Geography, 27, 275-283. DOI:
Aplin, P. (2003) Using remotely sensed data. Key Methods in Geography, Clifford, N. and Valentine, G. (editors), Sage, London, 291-308.
Tantram, D., Haines-Young, R., Agarwal, P. and Aplin, P. (2003) GIS in AONB management. AONB Management Handbook, The Countryside Agency, Cheltenham, online, pp. 36.
Aplin, P. and Atkinson, P.M. (2001) Sub-pixel land cover mapping for per-field classification. International Journal of Remote Sensing, 22, 2853-2858. DOI:
Aplin, P., Atkinson, P.M. and Curran, P.J. (1999) Fine spatial resolution simulated satellite sensor imagery for land cover mapping in the UK. Remote Sensing of Environment, 68, 206-216. DOI:
Aplin, P., Atkinson, P. and Curran, P. (1999) Per-field classification of land use using the forthcoming very fine spatial resolution satellite sensors: problems and potential solutions. Advances in Remote Sensing and GIS Analysis, Atkinson, P. and Tate, N. (editors), Wiley, Chichester, 219-239.
Aplin, P., Atkinson, P.M. and Curran, P.J. (1997) Fine spatial resolution satellite sensors for the next decade. International Journal of Remote Sensing, 18, 3873-3881. DOI:
Aplin, P., Atkinson, P.M. and Curran, P.J. (1997) Using the spectral properties of fine spatial resolution satellite sensor imagery for national land cover and land use mapping. Physical Measurements and Signatures in Remote Sensing, Guyot, G. and Phulpin, T. (editors), Balkema, Rotterdam, 661-668.
Ridley, H.M., Atkinson, P.M., Aplin, P., Muller, J.-P. and Dowman, I. (1997) Evaluating the potential of the forthcoming commercial U.S. high-resolution satellite sensor imagery at the Ordnance Survey. Photogrammetric Engineering and Remote Sensing, 63, 997-1005.
