Alps and Carpathians Accuracy Weighted Consensus Land Cover Datasets

This repository provides accuracy-weighted consensus landcover maps for the Alps and Carpathians regions, generated using a Random Forest model, Weighted Votes and the Accuracy Confusion method, as described by Tuanmu and Jetz (2014). The dataset includes 10 classes, comprising 9 probability bands for each landcover class and one class label band. The classes represent the following landcover types: built, crop, forest, shrub, grass, bare, water, wetland, and snow. Each probability band reflects the likelihood of a given pixel belonging to a specific class, while the label band provides the final classified landcover type based on the highest weighted probability. Dataset Structure: Probability Bands: 9 bands per pixel, each representing the probability (0–1) of a specific landcover class (built, crop, forest, shrub, grass, bare, water, wetland, snow). Label Band: A single band providing the final landcover classification for each pixel Spatial Coverage: Alps and Carpathians Format: GeoTIFF Resolution: 10 m本仓库提供针对阿尔卑斯山脉与喀尔巴阡山脉区域的精度加权共识土地覆盖图，其生成采用随机森林（Random Forest）模型、加权投票（Weighted Votes）法与精度混淆（Accuracy Confusion）方法，遵循Tuanmu与Jetz（2014）所描述的研究方案。本数据集包含10个波段，其中9个为各土地覆盖类别的概率波段，另有1个类别标签波段。所涵盖的土地覆盖类别包括：建筑用地、耕地、林地、灌丛、草地、裸地、水体、湿地及积雪。每个概率波段反映了对应像素属于某一特定类别的可能性（取值范围为0至1），而标签波段则基于最高加权概率，给出该像素最终的分类土地覆盖类型。 数据集结构： 概率波段：每个像素对应9个波段，每个波段代表某一特定土地覆盖类别的归属概率（取值范围0–1），对应类别为建筑用地、耕地、林地、灌丛、草地、裸地、水体、湿地、积雪。 标签波段：单个波段，用于给出每个像素的最终土地覆盖分类结果 空间覆盖范围：阿尔卑斯山脉与喀尔巴阡山脉区域 数据格式：GeoTIFF 空间分辨率：10米