Sentinel-2: Cloud Probability in Earth Engine

Links: Sentinel-2: Cloud Probability in Earth Engine's Public Data Catalog Sentinel-2: Cloud Probability in Earth Engine STAC viewed with STAC Browser The S2 cloud probability is created with the sentinel2-cloud-detector library (using LightGBM). All bands are upsampled using bilinear interpolation to 10m resolution before the gradient boost base algorithm is applied. The resulting 0..1 floating point probability is scaled to 0..100 and stored as a UINT8. Areas missing any or all of the bands are masked out. Higher values are more likely to be clouds or highly reflective surfaces (e.g. roof tops or snow). Sentinel-2 is a wide-swath, high-resolution, multi-spectral imaging mission supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas. The Level-2 data can be found in the collection COPERNICUS/S2_SR. The Level-1B data can be found in the collection COPERNICUS/S2. Additional metadata is available on assets in those collections. See this tutorial explaining how to apply the cloud mask.

链接：
1. 哨兵二号（Sentinel-2）云概率数据集：收录于地球引擎（Earth Engine）公开数据目录
2. 哨兵二号云概率数据集：可通过STAC浏览器（STAC Browser）查看地球引擎时空资产目录（SpatioTemporal Asset Catalog, STAC）中的对应条目

该S2云概率数据集由sentinel2-cloud-detector工具库开发，采用LightGBM算法。在应用梯度提升基算法前，所有波段均通过双线性插值（bilinear interpolation）上采样至10米分辨率。生成的0~1区间浮点型概率值将被缩放至0~100区间，并以UINT8（无符号8位整数）格式存储。存在波段缺失（部分或全部）的区域将被掩膜剔除。概率值越高，对应区域为云或高反射表面（如屋顶、积雪）的可能性越大。

哨兵二号（Sentinel-2）是宽幅高分辨率多光谱成像任务，服务于哥白尼陆地监测（Copernicus Land Monitoring）计划，可用于植被、土壤与水体覆盖监测，以及内陆水道与沿海区域观测。

其二级数据（Level-2）可在数据集集合COPERNICUS/S2_SR中获取；一级B数据（Level-1B）可在数据集集合COPERNICUS/S2中获取。上述数据集集合中的资产附带额外元数据。可参阅此教程学习如何应用该云掩膜。

搜集汇总

背景与挑战

背景概述

该数据集提供Sentinel-2卫星图像的云概率预测，采用LightGBM算法生成，适用于环境监测研究。数据经过处理并开放获取，遵循特定许可协议。