Living England: Satellite-based habitat classification- Technical User Guide (NERR108)

Thumbnail image of publication cover.

Living England project, led by Natural England, is a multi-year programme delivering a satellite-derived national habitat layer in support of the Environmental Land Management (ELM) System and the Natural Capital and Ecosystem Assessment (NCEA) Pilot. The project uses a machine learning approach to image classification, developed under the Defra Living Maps project (SD1705 – Kilcoyne et al., 2017). The method first clusters homogeneous areas of habitat into segments, then assigns each segment to a defined list of habitat classes using Random Forest (a machine learning algorithm). The habitat probability map displays modelled likely broad habitat classifications, trained on field surveys and earth observation data from 2021 as well as historic data layers. This map is an output from Phase IV of the Living England project, with future work in Phase V (2022-23) intending to standardise the methodology and Phase VI (2023-24) intending to produce a baseline version using the agreed standardised methods.

The supplementary material “NERR108 Edition 1 Supplementary data: Confusion matrices” (Living_England_PhaseIV_Confusion_Matrices_May2022.xlsx) provides confusion matrices produced from the random forest classification models used to predict the habitat classes across England and to create the Living England Phase IV Habitat Probability Map. These statistics are broken down for each habitat class and biogeographic zone.

The Living England Habitat Map (Phase 4) is available on the Natural England Open Data Geoportal.

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NERR108 Edition 1 Living England Satellite based habitat classification Technical User Guide, PDF, 1.2 MB 2022/06/29
NERR108 Edition 1 Supplementary data: Confusion matrices, XLSX, 115.4 KB 2022/06/29