Land Cover Map 2000 (1km percentage aggregate class, N. Ireland)

This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target (or 'sub') classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Note that the Band numberings in the dataset run from 1-11 rather than 0-10 and therefore each band relates to the one below it in the subclass code list. Full details about this dataset can be found at https://doi.org/10.5285/bff95455-9f28-48e5-a8d1-340fb79f9719

本数据集包含北爱尔兰土地覆盖图2000年1公里分辨率的栅格版本。该栅格由10个波段组成。在每一个波段中，每个1公里的像素代表10个综合类别中的一种的覆盖率百分比。综合类别是对目标（或‘子’）类别的汇总，广泛代表各类广域栖息地（见下文）。该数据集是生态与水文中心（Centre for Ecology & Hydrology）生产的系列数据产品之一，被称为LCM2000。LCM2000是对覆盖整个联合王国的卫星图像数据进行的基于地块的主题分类。LCM2000主要来源于从Landsat、IRS和SPOT传感器获取的卫星场景的计算机分类，并融合了来自其他辅助数据集的信息。LCM2000的分类采用与联合自然保护委员会（Joint Nature Conservation Committee）的广域栖息地命名法相对应的术语，涵盖整个英国栖息地的所有范围。此外，在可能的情况下，还记录了更多的细节。LCM2000产品系列包括矢量格式和栅格格式，包含多个不同版本，具有不同详细程度和不同的空间分辨率。请注意，数据集中的波段编号从1至11，而不是从0至10，因此每个波段与下一位次子代码列表中的波段相对应。关于本数据集的详细信息可在以下链接找到：https://doi.org/10.5285/bff95455-9f28-48e5-a8d1-340fb79f9719