An Adaptable Integrated Modelling Platform to Support Rapidly Evolving Agricultural and Environmental Policy

Harrison, Paula A.; Beauchamp, Kate; Cooper, Joe; Dickie, Ian A.; Fitch, Alice; Gooday, Richard; Hollaway, Michael; Holman, Ian; Hunt, Merryn; Jones, Laurence; Mondain-Monval, Thomas O.; Sandars, Daniel L.; Siriwardena, G.; Seaton, Fiona M.; Smart, Simon M.; Thomas, Amy; West, Bede; Whittaker, Freya; Carnell, E.J.; Matthews, Robert W.; Neupauer, Sophie; Saraev, Vadim; Scheffler, Jens; Trembath, Philip; Vieno, Massimo; Williams, Adrian; Dunford, R. W.

doi:10.2139/ssrn.4408349

Cited by 1 publication

(1 citation statement)

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“…In the United Kingdom (UK), the demand for land cover data has been met by the UK Land Cover Map (LCM) series, comprising LCMs for 1990LCMs for , 2000LCMs for , 2007LCMs for , 2015LCMs for , 2017LCMs for , 2018LCMs for , 2019LCMs for , 2020LCMs for and now 2021 The UK LCMs are a core part of the UK environmental data infrastructure, providing data for a wide range of en-vironmental applications and for a diverse range of users, including academics, businesses, and government departments and agencies. Government use of land cover data includes informing government decision making by exploring the impact of different land use scenarios (Harrison et al, 2022), creating new data sets to aid the implementation of conservation objectives (Natural England, 2022) and providing for the UK's natural-capital accounts (Office for National Statistics, 2021).…”

Section: Introductionmentioning

confidence: 99%

LCM2021 – the UK Land Cover Map 2021

Marston,

O'Neil,

Morton

et al. 2023

Earth Syst. Sci. Data

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Abstract. Land cover is a key environmental variable, underpinning widespread environmental research and decision making. The UK Centre for Ecology and Hydrology (UKCEH) has provided reliable land cover information since the early 1990s; this supports multiple scientific, government and commercial objectives. Recent advances in computation and satellite data availability have enabled annual UKCEH land cover maps since 2017. Here, we introduce the latest, annual UK Land Cover Map representing 2021 (LCM2021), and we describe its production and validation. LCM2021 methods replicate those of LCM2017 to LCM2020 with minor deviations in cloud-masking processes and training data sourcing to enhance accuracy. LCM2021 is based on the classification of satellite and spatial context data into 21 land cover or habitat classes, from which a product suite is derived. The production of LCM2021 involved three highly automated key stages: pre-processing of input data, image classification and production of the final data products. Google Earth Engine scripts were used to create an input data stack of satellite and context data. A set of training areas was created based on data harvested from historic UKCEH land cover maps. The training data were used to construct a random forest classifier, which yielded classified images. Compiled results were validated against 35 182 reference samples, with correspondence tables indicating variable class accuracy and an overall accuracy of 82.6 % for the 21-class data and 86.5 % at a 10-aggregated-classes level. The UK Land Cover Map product suite includes a set of raster products in various projections, thematic and spatial resolutions (10 m, 25 m and 1 km), and land–parcel or vector products. The data are provided in 21-class (all configurations) and aggregated 10-class (1 km raster products only) versions. All raster products are freely available for academic and non-commercial research. The data for Great Britain (GB) are provided in the British National Grid projection (EPSG: 27700) and the Northern Ireland (NI) data are in the TM75 Irish Grid (EPSG: 29903). Information on how to access the data is given in the “Data availability” section of the paper.

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Section: Introductionmentioning

confidence: 99%