five

Land Cover Map 2019 (25m rasterised land parcels, GB)

收藏
doi.org2020-06-16 更新2025-03-25 收录
下载链接:
https://doi.org/10.5285/f15289da-6424-4a5e-bd92-48c4d9c830cc
下载链接
链接失效反馈
官方服务:
资源简介:
This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived by rasterising the corresponding LCM2019 land parcels dataset into 25m pixels. It is provided as a 3-band, 8-bit integer raster. The first band is the UKCEH Land Cover Class identifier. Bands 2 and 3 are indicators of classification confidence. For a fuller description please refer to the product documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. 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2019年英国中心生态系统与水文(UKCEH)土地覆盖图(LCM2019)的25米分辨率栅格化土地地块数据集,代表了大不列颠岛的土地覆盖情况。该数据集利用UKCEH土地覆盖分类对2019年大不列颠岛的土地覆盖进行了描述,其分类依据为英国生物多样性行动计划中的广泛生境。该数据集通过将LCM2019对应土地地块数据集栅格化至25米像素而生成。数据集以三波段、8位整数栅格的形式提供,其中第一波段为UKCEH土地覆盖分类标识符,第二和第三波段为分类置信度指标。欲获取更详尽的描述,请参阅产品文档。LCM2019代表了一套描述2019年英国地表的地理空间土地覆盖数据集(栅格和多边形),由英国生态系统与水文中心通过分类2019年的卫星图像制作而成。LCM2019与LCM2017和LCM2018同时发布,是UKCEH土地覆盖图系列中的最新作品,该系列始于1990年的大不列颠岛土地覆盖图(现通常称为LCM1990),随后是涵盖全国的LCM2000、LCM2007和LCM2015土地覆盖图。本研究得到了自然环境研究委员会(NERC)资助的NE/R016429/1号项目支持,作为英国-SCAPE项目的一部分,旨在提供国家能力。
提供机构:
doi.org
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作