European landscape scenicness predictions and wilderness indicators

This dataset contains the four calculated landscape wilderness indicators (naturalness, remoteness, ruggedness, human impact) in 100 m * 100 m spatial resolution and landscape scenicness predictions (binary and ternary) in 1 km * 1 km spatial resolution across Europe. The scenicness predictions are made by trained machine learning models using wilderness indicators and other open spatial datasets as inputs.本数据集涵盖欧洲全域范围内两类空间分辨率的地理数据：一是100米×100米分辨率下的4项计算得到的景观荒野指标，即自然度（naturalness）、偏远度（remoteness）、崎岖度（ruggedness）与人类影响（human impact）；二是1千米×1千米分辨率下的景观观赏性预测结果，包含二分类（binary）与三分类（ternary）两种形式。该景观观赏性预测结果由训练完成的机器学习模型生成，输入数据为上述荒野指标及其他开放空间数据集。