Rowland, C.S.; Morton, R.D.; Carrasco, L.; McShane, G.; O'Neil, A.W.; Wood, C.M.

Land Cover Map 2015 (vector, GB)

Name: Land Cover Map 2015 (vector, GB)
Published: 2017-04-12

https://doi.org/10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73 Cite this dataset

This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes.

LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.

LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.

Publication date: 2017-04-12

These data are held and managed by the Environmental Information Data Centre

For more details and to access the data, go to https://catalogue.ceh.ac.uk/id/6c6c9203-7333-4d96-88ab-78925e7a4e73

Format

ESRI file geodatabase format

Spatial information

Study area
Spatial representation type: Vector
Spatial reference system: OSGB 1936 / British National Grid

Temporal information

Temporal extent: 2014-01-01 to 2015-12-01

Provenance & quality

For LCM2015, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then imported into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon. LCM2015 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007 and LCM2015 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015.

Citations

Smith, H.G., Karam, D.S., & Lennard, A.T. (2018). Evaluating tracer selection for catchment sediment fingerprinting. Journal of Soils and Sediments, 18(9), 3005–3019 https://doi.org/10.1007/s11368-018-1990-7

Samuelson, A.E., & Leadbeater, E. (2018). A land classification protocol for pollinator ecology research: An urbanization case study. Ecology and Evolution, 8(11), 5598–5610 https://doi.org/10.1002/ece3.4087

Forde, E., Gallagher, M., Foot, V., Sarda-Esteve, R., Crawford, I., Kaye, P., … Topping, D. (2018). Characterisation of biofluorescent aerosol emissions over winter and summer periods in the United Kingdom. Atmospheric Chemistry and Physics Discussions, 1–31 https://doi.org/10.5194/acp-2018-513

Dennis, M., Barlow, D., Cavan, G., Cook, P., Gilchrist, A., Handley, J., … Lindley, S. (2018). Mapping Urban Green Infrastructure: A Novel Landscape-Based Approach to Incorporating Land Use and Land Cover in the Mapping of Human-Dominated Systems. Land, 7(1), 17 https://doi.org/10.3390/land7010017

Reis, S., Liška, T., Vieno, M., Carnell, E. J., Beck, R., Clemens, T., … Heal, M. R. (2018). The influence of residential and workday population mobility on exposure to air pollution in the UK. Environment International, 121, 803–813. https://doi.org/10.1016/j.envint.2018.10.005

Oliver, D. M., Bartie, P. J., Louise Heathwaite, A., Reaney, S. M., Parnell, J. A. Q., & Quilliam, R. S. (2018). A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock. Science of The Total Environment, 616–617, 678–687. https://doi.org/10.1016/j.scitotenv.2017.10.263

Chetcuti, J., Kunin, W. E., & Bullock, J. M. (2019). A weighting method to improve habitat association analysis: tested on British carabids. Ecography. https://doi.org/10.1111/ecog.04295

Pearson, A. W., Soar, P. J., & Carter, P. (2019). Forgotten fields: mid-nineteenth century land use and characterisation in the South Downs National Park using the tithe surveys of England and Wales. Journal of Maps, 15(1), 58–68. https://doi.org/10.1080/17445647.2019.1600591

Dennis, M., Scaletta, K. L., & James, P. (2019). Evaluating environmental and ecological landscape characteristics relevant to urban resilience across gradients of land-sharing-sparing and urbanity. Cold Spring Harbor Laboratory. https://doi.org/10.1101/605105

Froidevaux, J. S. P., Boughey, K. L., Hawkins, C. L., Broyles, M., & Jones, G. (2019). Managing hedgerows for nocturnal wildlife: Do bats and their insect prey benefit from targeted agri‐environment schemes? Journal of Applied Ecology. https://doi.org/10.1111/1365-2664.13412

Entwistle, N. S., Heritage, G. L., Schofield, L. A., & Williamson, R. J. (2019). Recent changes to floodplain character and functionality in England. CATENA, 174, 490–498. https://doi.org/10.1016/j.catena.2018.11.018

Froidevaux, J. S. P., Broyles, M., & Jones, G. (2019). Moth responses to sympathetic hedgerow management in temperate farmland. Agriculture, Ecosystems & Environment, 270–271, 55–64. https://doi.org/10.1016/j.agee.2018.10.008

Henrys, P.A., & Jarvis, S.G. (2019). Integration of ground survey and remote sensing derived data: Producing robust indicators of habitat extent and condition. Ecology and Evolution, 9(14), 8104–8112. https://doi.org/10.1002/ece3.5376

Hunt, M.L., Blackburn, G.A., Carrasco, L., Redhead, J.W., & Rowland, C.S. (2019). High resolution wheat yield mapping using Sentinel-2. Remote Sensing of Environment, 233, 111410. https://doi.org/10.1016/j.rse.2019.111410

Finch, T., Gillings, S., Green, R.E., Massimino, D., Peach, W.J., & Balmford, A. (2019). Bird conservation and the land sharing‐sparing continuum in farmland‐dominated landscapes of lowland England. Conservation Biology, 33(5), 1045-1055. https://doi.org/10.1111/cobi.13316

Law, A., Baker, A., Sayer, C., Foster, G., Gunn, I.D.M., Taylor, P., … Willby, N.J. (2019). The effectiveness of aquatic plants as surrogates for wider biodiversity in standing fresh waters. Freshwater Biology, 64(9), 1664-1675. https://doi.org/10.1111/fwb.13369

Grafius, D.R., Hall, S., McHugh, N., & Edmondson, J.L. (2019). How much heat can we grow in our cities? Modelling UK urban biofuel production potential. GCB Bioenergy, 12(1), 118-132. https://doi.org/10.1111/gcbb.12655

Dennis, M., Scaletta, K.L., & James, P. (2019). Evaluating urban environmental and ecological landscape characteristics as a function of land-sharing-sparing, urbanity and scale. PLOS ONE, 14(7), e0215796. https://doi.org/10.1371/journal.pone.0215796

Comber, A., & Harris, P. (2022). The Importance of Scale and the MAUP for Robust Ecosystem Service Evaluations and Landscape Decisions. In Land (Vol. 11, Issue 3, p. 399). MDPI AG. https://doi.org/10.3390/land11030399

Chang, C., Cox, D. T. C., Fan, Q., Nghiem, T. P. L., Tan, C. L. Y., Oh, R. R. Y., Lin, B. B., Shanahan, D. F., Fuller, R. A., Gaston, K. J., & Carrasco, L. R. (2022). People’s desire to be in nature and how they experience it are partially heritable. PLOS Biology, 20(2), e3001500. https://doi.org/10.1371/journal.pbio.3001500

Reid, V., & Milek, K. (2021). Risk and Resources: An Evaluation of the Ability of National Soil Datasets to Predict Post-Depositional Processes in Archaeological Sites and Heritage at Risk. Heritage, 4(2), 725–758. https://doi.org/10.3390/heritage4020041

Hellawell, E. E., & Hughes, S. J. (2022). Evaluation and Potential Uses of Site Investigation Soil Contamination Data Submitted to Uk Local Government. Environmental Management, 70(1), 1–15. https://doi.org/10.1007/s00267-022-01648-1

Zini, V., Wäber, K., Hornigold, K., Lake, I., & Dolman, P. M. (2021). Human and environmental associates of local species-specific abundance in a multi-species deer assemblage. European Journal of Wildlife Research, 67(6). https://doi.org/10.1007/s10344-021-01539-6

Williamson, J. L., Tye, A., Lapworth, D. J., Monteith, D., Sanders, R., Mayor, D. J., Barry, C., Bowes, M., Bowes, M., Burden, A., Callaghan, N., Farr, G., Felgate, S., Fitch, A., Gibb, S., Gilbert, P., Hargreaves, G., Keenan, P., Kitidis, V., … Evans, C. (2021). Landscape controls on riverine export of dissolved organic carbon from Great Britain. Biogeochemistry. https://doi.org/10.1007/s10533-021-00762-2

Ridding, L. E., Watson, S. C. L., Newton, A. C., Rowland, C. S., & Bullock, J. M. (2019). Ongoing, but slowing, habitat loss in a rural landscape over 85 years. Landscape Ecology, 35(2), 257–273. https://doi.org/10.1007/s10980-019-00944-2

Ridding, L. E., Newton, A. C., Redhead, J. W., Watson, S. C. L., Rowland, C. S., & Bullock, J. M. (2020). Modelling historical landscape changes. Landscape Ecology, 35(12), 2695–2712. https://doi.org/10.1007/s10980-020-01059-9

Watson, S. C. L., Newton, A. C., Ridding, L. E., Evans, P. M., Brand, S., McCracken, M., Gosal, A. S., & Bullock, J. M. (2021). Does agricultural intensification cause tipping points in ecosystem services? Landscape Ecology, 36(12), 3473–3491. https://doi.org/10.1007/s10980-021-01321-8

Ni, Y., Richter, G. M., Mwabonje, O. N., Qi, A., Patel, M. K., & Woods, J. (2020). Novel integrated agricultural land management approach provides sustainable biomass feedstocks for bioplastics and supports the UK’s ‘net-zero’ target. In Environmental Research Letters (Vol. 16, Issue 1, p. 014023). IOP Publishing. https://doi.org/10.1088/1748-9326/abcf79

Fennell, J., Soulsby, C., Wilkinson, M. E., Daalmans, R., & Geris, J. (2022). Assessing the role of location and scale of Nature Based Solutions for the enhancement of low flows. International Journal of River Basin Management, 1–35. https://doi.org/10.1080/15715124.2022.2092490

Miller, J. D., Stewart, E., Hess, T., & Brewer, T. (2020). Evaluating landscape metrics for characterising hydrological response to storm events in urbanised catchments. Urban Water Journal, 17(3), 247–258. https://doi.org/10.1080/1573062X.2020.1760320

Crooks, E. C., Harris, I. M., & Patil, S. D. (2021). Influence of Land Use Land Cover on River Water Quality in Rural North Wales, UK. JAWRA Journal of the American Water Resources Association. Portico. https://doi.org/10.1111/1752-1688.12904

Ashby, M. A., Whyatt, J. D., Rogers, K., Marrs, R. H., & Stevens, C. J. (2020). Quantifying the recent expansion of native invasive rush species in a UK upland environment. Annals of Applied Biology, 177(2), 243–255. Portico. https://doi.org/10.1111/aab.12602

Ridding, L. E., Newton, A. C., Keith, S. A., Walls, R. M., Diaz, A., Pywell, R. F., & Bullock, J. M. (2020). Inconsistent detection of extinction debts using different methods. Ecography, 44(1), 33–43. Portico. https://doi.org/10.1111/ecog.05344

Dodd, R. J., Chadwick, D. R., Harris, I. M., Hines, A., Hollis, D., Economou, T., Gwynn‐Jones, D., Scullion, J., Robinson, D. A., & Jones, D. L. (2020). Spatial co‐localisation of extreme weather events: a clear and present danger. Ecology Letters, 24(1), 60–72. Portico. https://doi.org/10.1111/ele.13620

Bunting, G., England, J., Gething, K., Sykes, T., Webb, J., & Stubbington, R. (2020). Aquatic and terrestrial invertebrate community responses to drying in chalk streams. Water and Environment Journal, 35(1), 229–241. Portico. https://doi.org/10.1111/wej.12621

Newton, A. C., Evans, P. M., Watson, S. C. L., Ridding, L. E., Brand, S., McCracken, M., Gosal, A. S., & Bullock, James. M. (2021). Ecological restoration of agricultural land can improve its contribution to economic development. PLOS ONE, 16(3), e0247850. https://doi.org/10.1371/journal.pone.0247850

Fitch, A., Kuyer, J., Kharadi, N., Gower, J., Roberts, C., Dewey, N., Hull, S., & Jones, L. (2022). Under the influence of nature: The contribution of natural capital to tourism spend. PLOS ONE, 17(6), e0269790. https://doi.org/10.1371/journal.pone.0269790

Simpson, K. H., de Vries, F. P., Dallimer, M., Armsworth, P. R., & Hanley, N. (2022). Ecological and economic implications of alternative metrics in biodiversity offset markets. Conservation Biology. Portico. https://doi.org/10.1111/cobi.13906

Ming, X., Liang, Q., Xia, X., Li, D., & Fowler, H. J. (2020). Real‐Time Flood Forecasting Based on a High‐Performance 2‐D Hydrodynamic Model and Numerical Weather Predictions. Water Resources Research, 56(7). Portico. https://doi.org/10.1029/2019wr025583

Finch, T., Day, B. H., Massimino, D., Redhead, J. W., Field, R. H., Balmford, A., Green, R. E., & Peach, W. J. (2020). Evaluating spatially explicit sharing‐sparing scenarios for multiple environmental outcomes. Journal of Applied Ecology, 58(3), 655–666. Portico. https://doi.org/10.1111/1365-2664.13785

Kelly, L. A., Douglas, D. J. T., Shurmer, M. P., & Evans, K. L. (2021). Upland rush management advocated by agri‐environment schemes increases predation of artificial wader nests. Animal Conservation, 24(4), 646–658. Portico. https://doi.org/10.1111/acv.12672

Hawkes, R. W., Smart, J., Brown, A., Green, R. E., Jones, H., & Dolman, P. M. (2021). Effects of experimental land management on habitat use by Eurasian Stone‐curlews. Animal Conservation, 24(5), 743–755. Portico. https://doi.org/10.1111/acv.12678

Gibbons, S., Peng, C., & Tang, C. K. (2021). Valuing the Environmental Benefits of Canals and Canal Restoration Using House Prices. Land Economics, 97(4), 858–874. https://doi.org/10.3368/le.97.4.031420-0038R1

Simpson, K., Hanley, N., Armsworth, P., de Vries, F., & Dallimer, M. (2021). Incentivising biodiversity net gain with an offset market. Q Open, 1(1). https://doi.org/10.1093/qopen/qoab004

Forde, E., Gallagher, M., Foot, V., Sarda-Esteve, R., Crawford, I., Kaye, P., Stanley, W., & Topping, D. (2019). Characterisation and source identification of biofluorescent aerosol emissions over winter and summer periods in the United Kingdom. Atmospheric Chemistry and Physics, 19(3), 1665–1684. https://doi.org/10.5194/acp-19-1665-2019

Maslanka, W., Morrison, K., White, K., Verhoef, A., & Clark, J. (2022). Retrieval of Sub-Kilometric Relative Surface Soil Moisture With Sentinel-1 Utilizing Different Backscatter Normalization Factors. IEEE Transactions on Geoscience and Remote Sensing, 60, 1–13. https://doi.org/10.1109/TGRS.2022.3175256

Miller, J., Vesuviano, G., & Stewart, E. (2021). Improving urban flood estimation and flood risk assessment using landscape metrics . Science and Practice for an Uncertain Future. https://doi.org/10.3311/FloodRisk2020.5.1

Price, C., & Elsner, P. (2022). Uncertainty of Historic GLAD Forest Data in Temperate Climates and Implications for Forest Change Modelling. ISPRS International Journal of Geo-Information, 11(3), 177. https://doi.org/10.3390/ijgi11030177

Jones, L., Brennan, G. L., Lowe, A., Creer, S., Ford, C. R., & de Vere, N. (2021). Shifts in honeybee foraging reveal historical changes in floral resources. Communications Biology, 4(1). https://doi.org/10.1038/s42003-020-01562-4

Armstrong, A., Brown, L., Davies, G., Whyatt, J. D., & Potts, S. G. (2021). Honeybee pollination benefits could inform solar park business cases, planning decisions and environmental sustainability targets. Biological Conservation, 263, 109332. https://doi.org/10.1016/j.biocon.2021.109332

Lees, K. J., Artz, R. R. E., Chandler, D., Aspinall, T., Boulton, C. A., Buxton, J., Cowie, N. R., & Lenton, T. M. (2021). Using remote sensing to assess peatland resilience by estimating soil surface moisture and drought recovery. Science of The Total Environment, 761, 143312. https://doi.org/10.1016/j.scitotenv.2020.143312

Dobson, M. C., Crispo, M., Blevins, R. S., Warren, P. H., & Edmondson, J. L. (2021). An assessment of urban horticultural soil quality in the United Kingdom and its contribution to carbon storage. Science of The Total Environment, 777, 146199. https://doi.org/10.1016/j.scitotenv.2021.146199

Hassall, K. L., Coleman, K., Dixit, P. N., Granger, S. J., Zhang, Y., Sharp, R. T., Wu, L., Whitmore, A. P., Richter, G. M., Collins, A. L., & Milne, A. E. (2022). Exploring the effects of land management change on productivity, carbon and nutrient balance: Application of an Ensemble Modelling Approach to the upper River Taw observatory, UK. Science of The Total Environment, 824, 153824. https://doi.org/10.1016/j.scitotenv.2022.153824

Woodcock, B. A., Pywell, R. F., Macgregor, N. A., Edwards, M. E., Redhead, J., Ridding, L. E., Batáry, P., Czerwiński, M., & Duffield, S. (2021). Historical, local and landscape factors determine the success of grassland restoration for arthropods. Agriculture, Ecosystems & Environment, 308, 107271. https://doi.org/10.1016/j.agee.2020.107271

Mateos-Fierro, Z., Fountain, M. T., Garratt, M. P. D., Ashbrook, K., & Westbury, D. B. (2021). Active management of wildflower strips in commercial sweet cherry orchards enhances natural enemies and pest regulation services. Agriculture, Ecosystems & Environment, 317, 107485. https://doi.org/10.1016/j.agee.2021.107485

Image, M., Gardner, E., Clough, Y., Smith, H. G., Baldock, K. C. R., Campbell, A., Garratt, M., Gillespie, M. A. K., Kunin, W. E., McKerchar, M., Memmott, J., Potts, S. G., Senapathi, D., Stone, G. N., Wackers, F., Westbury, D. B., Wilby, A., Oliver, T. H., & Breeze, T. D. (2022). Does agri-environment scheme participation in England increase pollinator populations and crop pollination services? Agriculture, Ecosystems & Environment, 325, 107755. https://doi.org/10.1016/j.agee.2021.107755

Peacock, A., & Pemberton, S. (2019). The paradox of mobility for older people in the rural-urban fringe. Journal of Rural Studies, 70, 9–18. https://doi.org/10.1016/j.jrurstud.2019.08.002

Abrahams, C., & Geary, M. (2020). Combining bioacoustics and occupancy modelling for improved monitoring of rare breeding bird populations. Ecological Indicators, 112, 106131. https://doi.org/10.1016/j.ecolind.2020.106131

Burke, T., Whyatt, J. D., Rowland, C., Blackburn, G. A., & Abbatt, J. (2020). The influence of land cover data on farm-scale valuations of natural capital. Ecosystem Services, 42, 101065. https://doi.org/10.1016/j.ecoser.2020.101065

McVittie, A., & Faccioli, M. (2020). Biodiversity and ecosystem services net gain assessment: A comparison of metrics. Ecosystem Services, 44, 101145. https://doi.org/10.1016/j.ecoser.2020.101145

Rayner, M., Balzter, H., Jones, L., Whelan, M., & Stoate, C. (2021). Effects of improved land-cover mapping on predicted ecosystem service outcomes in a lowland river catchment. Ecological Indicators, 133, 108463. https://doi.org/10.1016/j.ecolind.2021.108463

Hay, G., & Krause, P. (2021). Remote Sensing and Soil Quality. In IoT-based Intelligent Modelling for Environmental and Ecological Engineering (pp. 159–184). Springer International Publishing. https://doi.org/10.1007/978-3-030-71172-6_7

Foški, M., Đurić, N., Tič, K., & Triglav Čekada, M. (2018). Primerjalna analiza modelov pokrovnosti in rabe zemljišč v izbranih državah. In Geografski vestnik (Vol. 90, Issue 1). The Research Center of the Slovenian Academy of Sciences and Arts / Znanstvenoraziskovalni center Slovenske akademije znanosti in umetnosti (ZRC SAZU). https://doi.org/10.3986/gv90106

Hansford, K.M., Gillingham, E.L., Vaux, A.G.C., Cull, B., McGinley, L., Catton, M., Wheeler, B.W., Tschirren, B., & Medlock, J.M. (2023). Impact of green space connectivity on urban tick presence, density and Borrelia infected ticks in different habitats and seasons in three cities in southern England. In Ticks and Tick-borne Diseases (Vol. 14, Issue 2, p. 102103). Elsevier BV. https://doi.org/10.1016/j.ttbdis.2022.102103

Bunting, M.J., & Farrell, M. (2022). Do Local Habitat Conditions Affect Estimates of Relative Pollen Productivity and Source Area in Heathlands? In Frontiers in Ecology and Evolution (Vol. 10) https://doi.org/10.3389/fevo.2022.787345

Reis, S., Liska, T., Vieno, M., Carnell, E., Beck, R., Clemens, T., Dragosits, U., Tomlinson, S., Leaver, D., & Heal, M. (2018). The Influence of Residential and Workday Population Mobility on Exposure to Air Pollution in the UK.ISEE Conference Abstracts, 2018(1). https://doi.org/10.1289/isesisee.2018.o03.02.16

Sumner, S., Bevan, P., Hart, A.G., & Isaac, N.J.B. (2019). Mapping species distributions in 2 weeks using citizen science. Insect Conservation and Diversity, 12(5), 382-388. https://doi.org/10.1111/icad.12345

Harrison, P.A., Beauchamp, K., Cooper, J., Dickie, I., Fitch, A., … Dunford, R. W. (2023). An adaptable integrated modelling platform to support rapidly evolving agricultural and environmental policy. In Environmental Modelling & Software (Vol. 169, p. 105821). Elsevier BV. https://doi.org/10.1016/j.envsoft.2023.105821

Villamizar, M.L., Stoate, C., Biggs, J., Szczur, J., Williams, P., & Brown, C D. (2024). A model for quantifying the effectiveness of leaky barriers as a flood mitigation intervention in an agricultural landscape. In River Research and Applications. Wiley. https://doi.org/10.1002/rra.4241

Marston, C.G., O’Neil, A.W., Morton, R.D., Wood, C.M. & Rowland, C.S. (2023) LCM2021 – the UK Land Cover Map 2021. Earth System Science Data 15, 4631–4649 https://doi.org/10.5194/essd-15-4631-2023

Kingsbury‐Smith, L., Willis, T., Smith, M., Boisgontier, H., Turner, D., Hirst, J., Kirkby, M. & Klaar, M. (2023) Evaluating the effectiveness of land use management as a natural flood management intervention in reducing the impact of flooding for an upland catchment. Hydrological Processes 37. https://doi.org/10.1002/hyp.14863

Cook, P., Alder, D., Hordley, L., Newson, S.E. & Pengelly, D. (2023) Seeing the wood for the trees, irregular silviculture supports bat populations in conifer plantations. Forest Ecology and Management 544, 121214. https://doi.org/10.1016/j.foreco.2023.121214

Gibbons, S., Peng, C. & Tang, C.K. (2021) Valuing the Environmental Benefits of Canals and Canal Restoration Using House Prices. Land Economics 97, 858–874. https://doi.org/10.3368/le.97.4.031420-0038r1

Miller, J.D., Stewart, E., Hess, T. & Brewer, T. (2020) Evaluating landscape metrics for characterising hydrological response to storm events in urbanised catchments. Taylor & Francis https://doi.org/10.6084/m9.figshare.12286748

Pearson, A.W., Soar, P.J. & Carter, P. (2019) Forgotten fields: mid-nineteenth century land use and characterisation in the South Downs National Park using the tithe surveys of England and Wales. Taylor & Francis https://doi.org/10.6084/m9.figshare.8046272.v2

Cheshire, P. & Buyuklieva, B. (2019). Homes on the right tracks. Centre for Cities. https://www.centreforcities.org/publication/homes-on-the-right-tracks/

Forestry Commission (2019). Forestry Commission England Wildfire Statistics for England 2009-10 to 2016-17. The UK Government. https://www.gov.uk/government/publications/forestry-commission-england-wildfire-statistics-for-england-2009-10-to-2016-17

Correspondence/contact details

Dr. Clare Rowland

UK Centre for Ecology & Hydrology

Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM

enquiries@ceh.ac.uk