Land Cover Map 2017 (20m classified pixels, GB)

This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation.

LCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

本数据集为英国生态与水文中心（UK Centre for Ecology & Hydrology, UKCEH）2017年土地覆盖地图（Land Cover Map 2017, LCM2017）配套的20米分辨率分类像素数据集，覆盖大不列颠地区。该数据集采用基于英国生物多样性行动计划（UK Biodiversity Action Plan）宽泛生境体系的UKCEH土地覆盖分类标准，描述了2017年大不列颠的土地覆盖现状。本数据集是对包含多季节光谱信息与辅助上下文图层的20米分辨率像素栅格进行分类后得到的随机森林（Random Forest）分类结果，此类上下文图层可有效解决光谱混淆问题。数据集以2波段8位整数栅格格式提供：第1波段为UKCEH土地覆盖分类标识符，第2波段为分类置信度指标。如需获取完整说明，请参阅产品文档。

LCM2017是一套地理空间土地覆盖数据集（包含栅格与矢量多边形数据），用于描述2017年英国陆地表面状况。该数据集由英国生态与水文中心通过对2017年卫星影像进行分类处理生成，与LCM2018、LCM2019同步发布。LCM2017是UKCEH系列土地覆盖地图的最新成果，该系列最早可追溯至1990年大不列颠土地覆盖地图（现通常简称为LCM1990），后续依次推出了覆盖全英国的LCM2000、LCM2007与LCM2015。

本研究得到英国自然环境研究理事会（Natural Environment Research Council）资助项目NE/R016429/1支持，作为英国国家能力建设项目UK-SCAPE计划的一部分开展。