TESS Lab Outputs
Peer-Reviewed Publications
(authors in bold were supervised by Andy Cunliffe, and stars indicate co-led publications).
In Review
Akhabue, E., A. Cunliffe, K. Williams, A. Harper, P. Holden, T. Powell (In Review) Critical classification parameters linking species to Plant Functional Type in African ecosystems. Data Descriptor for Scientific Data (Manuscript ID: SDATA-25-04624).
Emenyu, A., A. Cunliffe, S. Smith, L. Jasny, P. Isubikalu, T. Powell (In Review) Enabling and dis-enabling conditions for rapid scaling of agroforestry: A case of the International Small Group and Tree Planting program (TIST) in Uganda. Ecology and Society (Manuscript ID: ES-2025-16612).
Lomax, G., T. Powell, T. Lenton, and A. Cunliffe (In Review) The relative productivity index for assessing local impacts on rangeland condition: refinement and evaluation. Rangelands (Manuscript ID: ).
Abrams, J., C. Huntingford, S. Petrovskii, J. Buxton, H. Millman, C. Boulton, A. Cunliffe, J. Clarke, V. Lucarini, R. Parker, C. Villena, D. Ghent, P. Cox, T. Lenton (In Review) Science needs for a terrestrial biosphere tipping point early warning system: maximizing the value of Earth observation data. Reviews of Geophysics (Manuscript ID: 2025RG000900). Preprint at https://doi.org/10.22541/au.176244789.93683237/v1.
Yang, D., B. Murphy, W. Hantson, K. Orndahl, E. Hall, C. Ludden, V. Salmon, L. Berner, A. Cunliffe, M. Alonzo, M. Lara, S. Serbin, D. Hayes, F. Santos, C. Iversen (In Review) Harnessing the power of high-resolution LiDAR and Structure-from-Motion data for mapping plant aboveground biomass across the Arctic. Environmental Research: Ecology (Manuscript ID: ERE-100222). Preprint at https://essopenarchive.org/doi/pdf/10.22541/essoar.175874081.18366907.
In Prep
Slade, G., H. Graham, J. Perkins, L. Akanyang, K. Anderson, and A. Cunliffe (In Prep) From individual plants to advanced invasion -measuring the spatial dynamics of invasive Neltuma in the SW Kalahari with a multi-scale drone/satellite machine learning pipeline. For Remote Sensing in Ecology and Conservation.
Mureithi, I., G. Lomax, K. Hockings, T. Powell, P. Muruthi, A. Cunliffe (In Prep) Assessing how governance structures and local community engagement influence rangeland health outcomes using the Relative Productivity Index. For the African Journal of Range & Forage Science.
Thomas J., A. Cunliffe, H. Graham, T. Powell, P. Camargo, T. Feldpausch (In Prep) Soil carbon predictions across the landscape using remotely-sensed canopy structure measurements in southern Amazonia. For Soil.
Akhabue, E., A. Cunliffe, K. Williams, A. Harper, P. Holden, S. Zhu et al., (In Prep) Assessing JULES across different bioclimatic domains through a Pan-African Flux Tower Evaluation: insights into controls on GPP, Reco, and ET biases.
Lomax, G., A. Cunliffe, H. Graham, C. Philipson, T. Feldpausch, E. Doyle, J. Thomas, E. Mitchard, D. Burslem (In Prep) A simulation framework to refine synthetic controls methods for estimating tropical deforestation baseline.
Nare, A., G. Slade, L. Akanyang, J. Perkins, A. Cunliffe (In Prep) Evaluating rangeland condition using fine-scale remote sensing from unoccupied aerial vehicles.
Emenyu, A., L. Jasny, A. Cunliffe, T. Powell (In Prep) The Relational Dynamics of Agroforestry Scaling in Uganda; A comparative case of Farmers, Groups, grove Locations, and in TIST’S Bushenyi and Soroti Project Areas.
Published
Lomax, G., T. Powell, T. Lenton, and A. Cunliffe (2025) The relative productivity index: mapping human impacts on rangeland vegetation productivity with quantile regression forests. Ecological Indicators 171:113208. DOI:10.1016/j.ecolind.2025.113208.
Pickstone, B., H. Graham, and A. Cunliffe (2025) Estimating canopy height in tropical forests: integrating airborne LiDAR and multi-spectral optical data with machine learning, Sustainable Environment 11(1):2469406. DOI:10.1080/27658511.2025.2469406.
Doyle, E., H. Graham, C. Boulton, T. Feldpausch, T. Lenton, and A. Cunliffe (2025) Evaluating GEDI for quantifying forest condition across a gradient of degradation and recovery in Amazonian rainforests. Environmental Research Letters 20(5) 054016. DOI:10.1088/1748-9326/adc752.
Slade, G., K. Anderson, H. Graham, A. Cunliffe (2025) Canopy heights reconstructed with drone photogrammetry are sensitive to wind speed but relatively insensitive to illumination conditions. International Journal of Remote Sensing 46(1):24-41. DOI:10.1080/01431161.2024.2377832.
Emenyu, A., T. Pienkowski, A. Cunliffe, T. Lenton, and T. Powell (2025) Positive tipping points for accelerating adoption of regenerative practices in African smallholder farming systems: What drives and sustains adoption? Earth System Dynamics 16:1699–1710. DOI:10.5194/esd-16-1699-2025.
G. Phoenix, J. Bjerke, R. Björk, D. Blok, A. Bryn, T. Callaghan, C. Christiansen, A. Cunliffe, S. Davidson, H. Epstein, M. Loranty, A. Martin, I. Myers-Smith, J. Olofsson, T. Parker, F.-J. Parmentier, F. Stordal, R. Treharne, H. Tømmervik, and C. Voigt (2025) Browning events in Arctic ecosystems: diverse causes with common consequences, PLOS Climate 4(1): e0000570. DOI:10.1371/journal.pclm.0000570.
Gerkemaa, J., D. Bunker, A. Cunliffe, E. Bazzato, M. Marignani, I. Aubin, S. Chelli, J. Rosell, P. Poschlod, J. Penuelas, A. Dias, C. Rossi, J. Campos, M. Vanderwelm, S. Makul, B. Cerabolini, T. Sibret, B. Hérault, S. Schmitt, E. Illa, T. Sitzia, P. Higuchi, J. Tsakalos, D. Junaedi, Y.-P. Zhao, T. Shovon, V. Minden, A. Carolina da Silva, T. Mas̃ková, R. Canullo, N. Dong, and E. Pos (2025) Robustness and limitations of maximum entropy in plant community assembly, Ecological Informatics 86:103031. DOI:10.1016/j.ecoinf.2025.103031.
Lomax, G., T. Powell, T. Lenton, T. Economou, and A. Cunliffe (2024) Untangling the environmental drivers of gross primary productivity in African rangelands. Communications Earth & Environment 5(1):1-13. DOI:10.1038/s43247-024-01664-5.
Lenton, T., J. Abrams, A. Bartsch, S. Bathiany, N. Boers, C. Boulton, J. Buxton, A. Conversi, A. Cunliffe, S. Hebden, T. Lavergne, B. Poulter, A. Shepherd, D. Swingedouw, and R. Winkelmann (2024) Remotely sensing climate change tipping points across scales. Nature Communications 15(1):343. DOI: 10.1038/s41467-023-44609-w.
Slade, G., D. Fawcett, A. Cunliffe, R. Brazier, K. Nyaupane, M. Mauritz, S. Vargas, and K. Anderson (2023), Optical reflectance across spatial scales – An inter-comparison of transect-based hyperspectral, drone, and satellite reflectance data for dry season rangeland. Drone Systems and Applications. 11:1-20. DOI: 10.1139/dsa-2023-0003.
Millner, N., A. Cunliffe, M. Mulero-Pazmany, B. Newport, C. Sandbrook, and S. Wich (2023), Exploring the opportunities and risks of aerial monitoring for biodiversity conservation, Global Social Challenges Journal 2(1):2-23. DOI: 10.1332/TIOK6806.
Jackman, A., N. Millner, A. Cunliffe, Y. Laumonier, E. Lunstrum, J. Paneque-Galvez, and S. Wich (2023) Protecting people and wildlife from the potential harms of drone use in biodiversity conservation: Interdisciplinary dialogues, Global Social Challenges Journal 2(1):68-83. DOI: 10.1332/IMLH5791.
Zhu, S., J. McCalmont, L. Cardenas, A. Cunliffe, L. Olde, C. Signori-Muller, M. Litvak, and T. Hill (2023) Gap-filling carbon dioxide, water, energy, and methane fluxes in challenging ecosystems: comparing between methods, drivers, and gap-lengths, Agricultural and Forest Meteorology 332. DOI: 10.1016/j.agrformet.2023.109365.
Cunliffe, A., K. Anderson, F. Boschetti, R. Brazier, H. Graham, I. Myers-Smith, T. Astor, M. Boer, L. Calvo, P. Clark, M. Cramer, M. Encinas-Lara, S. Escarzaga, J. Fernández-Guisuraga, A. Fisher, K. Gdulová, B. Gillespie, A. Griebel, N. Hanan, M. Hanggito, S. Haselberger, C. Havrilla, P. Heilman, W. Ji, J. Karl, M. Kirchhoff, S. Kraushaar, M. Lyons, I. Marzolff, M. Mauritz, C. McIntire, D. Metzen, L. Méndez-Barroso, S. Power, J. Prošek, E. Sanz-Ablanedo, K. Sauer, D. Schulze-Brüninghoff, P. Šímová, S. Sitch, J. Smit, C. Steele, S. Suárez-Seoane, S. Vargas, M. Villarreal, F. Visser, Wachendorf, H. Wirnsberger, and R. Wojcikiewicz (2022) Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems. Remote Sensing in Ecology and Conservation 8(1):57-71. DOI: 10.1002/rse2.228.
Cunliffe A*., Boschetti*, F., R. Clement, S. Sitch, K. Anderson, T. Duman, M. Schlumpf, M. Litvak, R. Brazier, and T. Hill (2022) Strong correspondence in evapotranspiration and carbon dioxide fluxes between different eddy covariance systems enables quantification of landscape heterogeneity in dryland fluxes. Journal of Geophysical Research: Biogeosciences 127(8):e2021JG006240. DOI: 10.1029/2021JG006240.
Fawcett, D.*, A. Cunliffe*, S. Sitch, M. O’Sullivan, K. Anderson, R. Brazier, T. Hill, P. Anthoni, A. Arneth, V. Arora, P. Briggs, D. Goll, A. Jain, X. Li, D. Lombardozzi, J. Nabel, B. Poulter, R. Séférian, H. Tian, N. Viovy, J.-P. Wigneron, A. Wiltshire, and S. Zaehle (2022) Assessing model predictions of carbon dynamics in global drylands. Frontiers in Environmental Science – Drylands 10. DOI: 10.3389/fenvs.2022.790200
T. Lenton, J. Buxton, D. McKay, J. Abrams, C. Boulton, K. Lees, T. Powell, N. Boers, A. Cunliffe, and V. Dakos (2022) A resilience sensing system for the biosphere. Philosophical Transactions B 377(1857). DOI: 10.1098/rstb.2021.0383.
McIntire, C.*, A. Cunliffe*, F. Boschetti, and M. Litvak (2022) Allometric relationships for predicting aboveground biomass, sapwood, and leaf area of two-needle piñon pine (Pinus edulis). Forest Science 68(2), 152-161. DOI: 10.1093/forsci/fxac001.
Cunliffe, A., J. Assmann, G. Daskalova, J. Kerby, and I. Myers-Smith (2020) Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape. Environmental Research Letters 15(12) 125004. DOI: 10.1088/1748-9326/aba470.
Cunliffe, A., C. McIntire, F. Boschetti, K. Sauer, M. Litvak, K. Anderson, and R. Brazier (2020) Allometric relationships for predicting aboveground biomass and sapwood area of Oneseed Juniper (Juniperus monosperma) trees. Frontiers in Plant Science 11:1-12. DOI: 10.3389/fpls.2020.00094. Download PDF
Myers-Smith, I., J. Kerby, G. Phoenix, J. Bjerke, H. Epstein, J. Assmann, C. John, L. Andreu-Hayles, S. Angers-Blondin, P. Beck, L. Berner, U. Bhatt, A. Bjorkman, D. Blok, A. Bryn, C. Christiansen, J. Cornelissen, A. Cunliffe, S. Elmendorf, B. Forbes, S. Goetz, R. Hollister, R. de Jong, M. Loranty, M. Macias-Fauria, K. Maseyk, S. Normand, J. Olofsson, T. Parker, F.-J. Parmentier, E. Post, G. Schaepman-Strub, F. Stordal, P. Sullivan, H. Thomas, H. Tømmervik, R. Treharne, C. Tweedie, D. Walker, M. Wilmking, and S. Wipf (2020) Complexity revealed in the greening of the Arctic, Nature Climate Change 10:106-117. DOI: 10.1038/s41558-019-0688-1.
Assmann, J., I. Myers-Smith, J. Kerby, A. Cunliffe, and G. Daskalova (2020). Drone data reveal fine-scale variation of tundra greenness and phenology not captured by satellite and ground-based monitoring. Environmental Research Letters 15(12) 125002. DOI:10.1088/1748-9326/abbf7d.
Cunliffe, A., G. Tanski, B. Radosavljevic, W. Palmer, T. Sachs, H. Lantuit, J. Kerby, and I. Myers-Smith (2019) Rapid retreat of permafrost coastline observed with aerial drone photogrammetry. The Cryosphere 13(5):1513-1528. DOI: 10.5194/tc-13-1513-2019.
Myers-Smith, I., M. Grabowski, H. Thomas, S. Angers-Blondin, G. Daskalova, A. Bjorkman, A. Cunliffe, J. Assmann, J. Boyle, E. McLeod, S. McLeod, R. Joe, P. Lennie, D. Arey, R. Gordon, and C. Eckert (2019) Eighteen years of ecological monitoring reveals multiple lines of evidence for tundra vegetation change. Ecological Monographs 89(2):1-21. DOI: 10.1002/ecm.1351.
Karthikeyan, K., D. Vasu, P. Tiwary, A. Cunliffe, S. Mariappan, P. Chandran, and S. Singh (2019) Assessing the suitability of Vertisols for cotton (Gossypium sp.) production in two agro-ecological regions of India. Archives of Agronomy in Soil Science 65(7):698-679. DOI: 10.1080/03650340.2018.1542131. Download PDF
Duffy*, J., A. Cunliffe*, L. DeBell, C. Sandbrook, S. Wich, J. Shutler, I. Myers-Smith, and K. Anderson (2018) Location, Location, Location: Considerations when using lightweight drones in challenging environments. Remote Sensing in Ecology and Conservation 4(1):7-19. DOI: 10.1002/rse2.58.
Assmann, J., J. Kerby, A. Cunliffe, and I. Myers-Smith (2018). Vegetation monitoring using multispectral sensors – best practices and lessons learned from high latitudes. Journal of Unmanned Vehicle Systems 7(1):54-75. DOI: 10.1139/juvs-2018-0018. Download PDF
Cunliffe, A., J. Duffy, L. DeBell, and K. Anderson (2017). A UK Civil Aviation Authority (CAA)- approved operations manual for safe deployment for lightweight drones in research. International Journal of Remote Sensing 8-10:2737-2744. DOI: 10.1080/01431161.2017.1286059.
Puttock, A., H. Graham, A. Cunliffe, M. Elliott, and R. Brazier (2017). Eurasian beaver activity increases water storage, attenuates flow and mitigates diffuse pollution from intensively-managed grasslands. Science of the Total Environment 576:430-443. DOI: 10.1016/j.scitotenv.2016.10.122.
Cunliffe, A., R. Brazier, and K. Anderson (2016). Ultra-fine spatial resolution landscape-scale monitoring of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry. Remote Sensing of Environment 183:129-143. DOI: 10.1016/j.rse.2016.05.019. Download PDF
Cunliffe, A., A. Puttock, L. Turnbull, J. Wainwright and R. Brazier (2016) Dryland, calcareous soils store (and lose) significant quantities of organic carbon. Journal of Geophysical Research: Earth Surface 121(4):684-702. DOI: 10.1002/2015JF003628.
Cunliffe, A., (2016) Understanding Structure and Function in Semiarid Ecosystems: Implications for Terrestrial Carbon Dynamics in Drylands, University of Exeter, PhD Thesis.
Puttock*, A., A. Cunliffe*, K. Anderson and R. Brazier (2015). Monitoring the impact of Eurasian beaver reintroduction on ecosystem structure using aerial photography collected from a multi-rotor drone. Journal of Unmanned Vehicle Systems 3(3):123-130. DOI: 10.1139/juvs-2015-0005. Download PDF
Cunliffe, A., A. Baird and J. Holden (2013) Hydrological hotspots in blanket peatlands: Spatial variation in peat permeability around a natural soil pipe. Water Resources Research 49(9):5342-5354. DOI: 10.1002/wrcr.20435. Download PDF
Non-Peer Reviewed Publications
Abrams, J., C. Huntingford, S. Petrovskii, J. Buxton, H. Millman, C. Boulton, A. Cunliffe, J. Clarke, V. Lucarini, R. Parker, C. Villena, D. Ghent, P. Cox, T. Lenton (2025) Science needs for a terrestrial biosphere tipping point early warning system. Report for the European Space Agency Climate-Space from the Predicting Resilience and Early Detection of Impending Climate Transitions (PREDICT) project.
Villena, C. R. Parker, J. Abrams, C. Huntingford, S. Petrovskii, J. Buxton, H. Millman, C. Boulton, A. Cunliffe, J. Clarke, V. Lucarini, D. Ghent, P. Cox, T. Lenton (2025) Datasets Inventory Document. Report for the European Space Agency Climate-Space from the Predicting Resilience and Early Detection of Impending Climate Transitions (PREDICT) project.
Kirinyet, M., A. Cunliffe, and P. Tyrell (2025) Report on Avian and Plant Species Biodiversity Baseline Survey Conducted in the Northern Mara between 6th to 21st November 2024. DOI: 10.5281/zenodo.14988653. (Zenodo Repo Link)
Graham, H., A. Cunliffe, E. Mitchard, J. Ramosa, L. Sáenza, D. Burslem, C. Philipson (2023) Response to West et al. (2023) (eLetter in Science).
Millner, N., A. Cunliffe, A. Jackman, Y. Laumonier, E. Lunstrum, M. Mulero-Pazmany, J. Paneque-Galvez, C. Sandbrook, and S. Wich (2023) Responsible drone use in biodiversity conservation: Guidelines for environmental and conservation organisations who use drones.
Cunliffe, A., A. Dumezweni, A. Emenyu, D. MacFadyen, E. Akhabue, K. Balo, L. Seabonyane, M. Kirinyet, R. Nenguda, T. Achieng, T. Powell (2022) OPALS Position Statement on Scholar Destinations.
Cunliffe, A., J. Thomas, T. Feldpausch, T. Powell, and C. Philipson (2022) Multi-sensor remote sensing of forest condition in the Google Earth Engine environment: a report for Permian Global Research.
Graham, H., P. Benaud, A. Cunliffe and A. Puttock (2021) Codebase for undertaking precision analysis on structure-from-motion surveys of vegetation. Archived on Zenodo DOI:10.5281/zenodo.5497801.
Cunliffe, A. and J. Snöälv (2020) Erosion of Arctic permafrost coastlines: a case study from Qikiqtaruk Island, a solicited article published in Geography Review 34(3):9-13, a magazine for A-level geography students. This article was translated by the Welsh Government to support the Welsh school curriculum (Erydiad morlinau rhew parhaol yr Arctig).
M. García Criado, I. Myers-Smith, L. Baeten, A. Cunliffe, G. Daskalova, E. Gallois and J. Kerby. (2020) Sharing Is Caring: Working With Other People’s Data. Methods.Blog (blog).
Cunliffe, A. and K. Anderson (2019) Measuring Above-ground Biomass with Drone Photogrammetry: Data Collection Protocol, Protocol Exchange, DOI:10.1038/protex.2018.134.
Myers-Smith, I., H. Thomas, G. Daskalova, J. Assmann, A. Cunliffe, S. Angers-Blondin, and Other Members of Team Shrub (2017) Changing tundra ecosystems – Research by Team Shrub from the University of Edinburgh and Yukon Parks, Research Updates: From the Western and Central Canadian Arctic, ArcticNet December 2017 Newsletter.
Cunliffe, A. (2012) Channel change in the River Liza, Ennerdale, Cumbria: An examination of planform analysis, a report produced for the Wild Ennerdale NGO.
Recorded Presentations
Dr. Andy Cunliffe (2025-06-18) ML4EO: The Relative Productivity Index: assessing local impacts on rangeland.
Dr. Hugh Graham (2025-06-18) ML4EO: The Vrtility R Package: Revisiting GDAL to Support Efficient ML in EO.
Study Preregistrations
Lomax, G*., A. Cunliffe*, H. Graham, C. Phillipson, T. Feldpausch, E. Doyle, J. Thomas, E. Mitchard, D. Burslem. (2024) A simulation framework to refine synthetic control methods for estimating tropical deforestation baselines. Registered with the Open Science Framework (https://osf.io/w57a2).
Student Outputs
Lomax, G. (2025) PhD Thesis. Monitoring climate and land use impacts in African rangelands with machine learning and Earth observation, University of Exeter.
Mureithi, I. (2025) MSc Dissertation. Using the Relative Productivity Index to assess how governance structures and local community engagement influence rangeland health outcomes.
Nare, A. (2025) MSc Dissertation. Evaluating rangeland condition using fine-scale remote sensing from Unoccupied Aerial Vehicles.
Mureithi, I. (2025) Parametric Solutions for Climate Migrants in East and Horn of Africa. Article published by the UN Migration | International Organization for Migration.
Cossa, M. (2025) MSc Dissertation. Informing adaptation to coastal hazards: strengthening communication of sea level rise and cyclone risk in Maputo planning policy spaces. This Oppenheimer Impact Project led by Minda Cossa developed new insight into how information around changing risks in developing coastal areas is used, shared, and improved through partnership between urban planners and other professions related to urban development, as presented in these multiple language video outputs. This work was part of the Oppenheimer Programme in African Landscape Systems (OPALS) funded by the University of Exeter, Oppenheimer Generations Research and Conservation, and Sarah Turvill. It was undertaken in partnership between the University of Exeter, the University of Cape Town’s African Climate and Development Institute, and Centro Terra Viva, with support from Jive Media.
Mewara, S. (2024) MSc Dissertation. Mapping soil organic carbon (SOC) stocks of South Africa using convolutional neural network and analyzing trends in SOC Changes.
McDonagh, A. (2024) MSc Dissertation. Quantifying aboveground biomass of Home Covert woodland in the Oxburgh Estate, Norfolk, using Airborne LiDAR.
Pickstone, B. (2023) MSc Dissertation. Estimating canopy height in tropical forests: integrating airborne LiDAR and multi-spectral optical data with machine learning.
Kirinyet, M. (2023) MSc Dissertation. Utilizing Machine Learning to map soil organic carbon in rangelands: A case study of Umzimvubu, Eastern Cape, South Africa.
Shaw, A. (2023) MSc Dissertation. Assessing the potential for voluntary carbon markets to contribute to sustainable conservation at the Manda Island Conservancy Project, Kenya.
Nare, A. (2023) The Silent Shift: Female Cows in Feedlots and Its Impact on Botswana’s Beef Production. Article in the Botswanan Smart Farming Times.
Willoughby, E. (2022) MSc Dissertation. Climate adaptation in Maputo, Mozambique: Coastal hazards, informal settlements and communicating risk.
R Packages
Graham, H., A. Cunliffe, and C. Philipson (2025) The vrtility R package: Harnessing GDAL for Efficient Machine Learning in Earth Observation. https://permian-global-research.github.io/vrtility/index.html
Graham, H., C. Philipson, and A. Cunliffe (2024) chmloader: Download and review 1 m Canopy Height Model data produced by Tolan et al. (2024). https://github.com/TESS-Laboratory/chmloader
Graham, H. (2023) CHEWIE: R-centric approach to downloading GEDI data. https://github.com/Permian-Global-Research/chewie
Data Publications
Lomax, G., T. Powell, T. Lenton, and A. Cunliffe (2025) Index data for “Lomax et al. (2025), The relative productivity index: Mapping human impacts on rangeland vegetation productivity with quantile regression forests. Ecological Indicators 171 (113208)”. https://zenodo.org/records/14990116
Boschetti, F. and Cunliffe, A. et al. (2021) Half hourly fluxes of sensible heat, latent energy and carbon observed by eight replicated eddy covariance towers in the Northern Chihuahuan Desert from 1st of Nov 2018 to 31st of Oct 2019. NERC Environmental Information Data Centre. DOI: 10.5285/e96466c3-5b67-41b0-9252-8f8f393807d7
Cunliffe, A., et al., (2020). Allometric modelling of plant biomass from drone-acquired photographs: drone images, ground control marker coordinates and biomass data from 36 sites, 2016-2020. NERC Environmental Information Data Centre. DOI:10.5285/1ec13364-cbc6-4ab5-a147-45a103853424
Cunliffe, A., J. Assmann, J. Kerby and I. Myers-Smith. (2020). Canopy height, spectral reflectance (NDVI), and aboveground biomass of Salix richardsonii across a wet graminoid-shrubland ecotone on Qikiqtaruk – Herschel Island, Yukon, Canada (2016). NERC Polar Data Centre. DOI:10.5285/61C5097B-6717-4692-A8A4-D32CCA0E61A9
Cunliffe, A., C. McIntire, F. Boschetti, K. Sauer, M. Litvak, R. Brazier, K. Anderson (2019). Field measurements of aboveground biomass, canopy area, stem diameter and sapwood area of Juniperus monosperma trees in New Mexico, collected in 2018 and 2019. NERC Environmental Information Data Centre. DOI:10.5285/871443a9-6634-4eba-abb5-286a1ab58e9b
Cunliffe, A., I. Myers-Smith. J. Kerby and W. Palmer (2019). Orthomosaic of permafrost landscape on Qikiqtaruk – Herschel Island, Yukon, Canada: August 2017. NERC Polar Data Centre. DOI:10.5285/29bf1c9f-a39a-452c-b9f9-de35d9fb9179.
Cunliffe, A., G. Tanski, B. Radosavljevic, W. Palmer, T. Sachs, J. Kerby; I. Myers-Smith (2019): Aerial images of eroding permafrost coastline, Qikiqtaruk – Hershel Island, Yukon, Canada. PANGAEA. DOI:10.1594/PANGAEA.901852
Media Coverage
A collaborative response to African climate change challenges, Exeter’s Alumni Magazine, 2024
Securing Africa’s Future, Exeter’s Alumni Magazine, 2022
Drones help bridge the gaps in assessing global change, EOS, 2020
Beautiful yet unnerving photos of the Arctic getting greener, Wired, 2020
New footage shows just how alarmingly fast an Arctic island is crumbling into the sea, Gizmodo, 2019
Rapid retreat of Arctic coastline revealed in images from the air, HNGN, 2019
Drone surveys reveal the extent of Arctic coast erosion, DIGIT, 2019
