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Sentinel-2 Level-2A

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ArcGIS Hub2026-06-09 更新2026-07-28 收录
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The Copernicus Sentinel-2 mission provides optical imagery for a wide range of applications including land, water and atmospheric monitoring. Beginning in 2015, the mission is based on a constellation of identical satellites working in tandem to cover Earth’s land and coastal waters every five days. Each satellite carries a multispectral sensor that generates optical images in the visible, near-infrared and shortwave-infrared part of the electromagnetic spectrum at spatial resolutions of 10, 20, and 60-meters. This imagery layer provides the full archive of Sentinel-2 Level-2A imagery. It is time enabled and includes a number of predefined processing templates for visualization and analysis. Key Properties Geographic Coverage: Global Landmasses - More... Temporal Coverage: 2015 – Present Spatial Resolution: 10, 20, and 60-meter (see Multispectral Bands table for more information) Revisit Time*: ~5-days Product Level: Level-2A Surface Reflectance Source Data Coordinate System: Universal Transverse Mercator (UTM) WGS84 Service Coordinate System: Web Mercator Auxiliary Sphere WGS84 (EPSG:3857) Analysis: Analysis-Optimized Multispectal Bands: Band Description Wavelength (µm) Spatial Resolution (m) 1 B1_Aerosols 0.433 - 0.453 60 2 B2_Blue 0.458 - 0.523 10 3 B3_Green 0.543 - 0.578 10 4 B4_Red 0.650 - 0.680 10 5 B5_RedEdge 0.698 - 0.713 20 6 B6_RedEdge 0.733 - 0.748 20 7 B7_RedEdge 0.773 - 0.793 20 8 B8_NearInfraRed 0.785 - 0.900 10 9 B8A_NarrowNIR 0.855 - 0.875 20 10 B9_WaterVapour 0.935 - 0.955 60 11 B11_ShortWaveInfraRed 1.565 - 1.655 20 12 B12_ShortWaveInfraRed 2.100 - 2.280 20 13 B13_AOTMap NA 10 14 B14_WVPMap NA 20 15 B15_SCL NA 20 Usage Information and Best Practices Processing Templates This layer includes a number of preconfigured processing templates (raster function templates) to provide on-the-fly data rendering and calculations for visualization and analysis. Each processing template includes labels and descriptions to characterize the intended usage. This may include for visualization, for analysis, or for both visualization and analysis. Visualization The default rendering on this layer is Natural Color for Visualization (bands 4,3,2). There are a number of on-the-fly renderings/processing templates designed specifically for data visualization. By default, the most recent and most cloud free scenes from the Landsat archive are prioritized and dynamically fused into a single mosaicked image layer. To discover and isolate specific images for visualization in Map Viewer, try using the Image Collection Explorer. Analysis In order to leverage the optimization for analysis, the capability must be enabled by your ArcGIS organization administrator. More information on enabling this feature can be found in the ‘Regional data hosting’ section of this help doc. Optimized for analysis means this layer does not have size constraints for analysis and it is recommended for multisource analysis with other layers optimized for analysis. See this group for a complete list of imagery layers optimized for analysis. Using the "None" processing template option as input to analysis provides all bands with raw pixel values and is recommended for many use cases. Otherwise, only processing templates that include a "for analysis" designation should be used as input to analysis. The appropriate scale factors are dynamically applied to the imagery in this layer, providing scientific floating point Surface Reflectance pixel values. Prior to running analysis, users should always provide some form of data selection with either a layer filter (e.g. for a specific date range, cloud cover percent, mission, etc.) or by selecting specific images. To discover and isolate specific images for analysis in Map Viewer, try using the Image Collection Explorer. General If you are new to Sentinel-2 imagery, the Sentinel-2 Explorer provides a good introductory user experience for working with this imagery layer. For more information, see this Quick Start Guide or this Detailed Tutorial. Data Source Sentinel-2 imagery is credited to the European Space Agency (ESA) and the European Commission. The imagery in this layer is sourced from the Microsoft Planetary Computer Open Data Catalog.

哥白尼哨兵-2号(Copernicus Sentinel-2)任务可提供光学影像,适用于陆地、水域与大气监测等诸多应用场景。该任务于2015年启动,依托一组完全相同的卫星星座协同工作,每5天即可完成全球陆地与近海水域的覆盖扫描。每颗卫星搭载多光谱传感器,可在可见光、近红外与短波红外波段范围内生成电磁光谱影像,空间分辨率分别为10米、20米与60米。 本影像图层包含哨兵-2号Level-2A影像的完整存档,支持时间维度检索,并内置多种预定义处理模板,可用于可视化与分析工作。 核心属性 地理覆盖范围:全球陆地(详见后文) 时间覆盖范围:2015年至今 空间分辨率:10米、20米与60米(详细信息请参见多光谱波段表格) 重访周期*:约5天 产品层级:Level-2A地表反射率 源数据坐标系:通用横轴墨卡托(Universal Transverse Mercator, UTM)WGS84 服务坐标系:Web墨卡托辅助球体WGS84(EPSG:3857) 分析优化:已针对分析工作优化 多光谱波段 | 序号 | 波段标识 | 波长范围(μm) | 空间分辨率(米) | | --- | --- | --- | --- | | 1 | B1_气溶胶波段 | 0.433–0.453 | 60 | | 2 | B2_蓝波段 | 0.458–0.523 | 10 | | 3 | B3_绿波段 | 0.543–0.578 | 10 | | 4 | B4_红波段 | 0.650–0.680 | 10 | | 5 | B5_红边波段 | 0.698–0.713 | 20 | | 6 | B6_红边波段 | 0.733–0.748 | 20 | | 7 | B7_红边波段 | 0.773–0.793 | 20 | | 8 | B8_近红外波段 | 0.785–0.900 | 10 | | 9 | B8A_窄近红外波段 | 0.855–0.875 | 20 | | 10 | B9_水汽波段 | 0.935–0.955 | 60 | | 11 | B11_短波红外波段 | 1.565–1.655 | 20 | | 12 | B12_短波红外波段 | 2.100–2.280 | 20 | | 13 | B13_气溶胶光学厚度图(AOTMap) | 无 | 10 | | 14 | B14_水汽图(WVPMap) | 无 | 20 | | 15 | B15_场景分类图层(SCL) | 无 | 20 | 使用信息与最佳实践 处理模板 本图层内置多种预配置处理模板(栅格函数模板),可实现实时数据渲染与计算,用于可视化与分析工作。每个处理模板均附带标签与说明,以明确其适用场景,可分为可视化专用、分析专用,或兼具可视化与分析功能。 可视化 本图层的默认渲染模式为自然色彩可视化(使用4、3、2波段)。另有多种专为数据可视化设计的实时渲染/处理模板。默认情况下,系统会优先选取最新且云量最少的Landsat存档影像,并动态融合为单张镶嵌影像图层。若需在地图查看器中查找并筛选特定影像进行可视化,可尝试使用影像集合浏览器(Image Collection Explorer)。 分析 若需使用分析优化功能,需由您的ArcGIS组织管理员启用该功能。有关启用此功能的详细信息,请参阅本文档「区域数据托管」部分。分析优化意味着该图层无分析规模限制,推荐与其他已优化分析的图层进行多源分析。如需查看所有已优化分析的影像图层完整列表,请参阅此群组。将「无」处理模板选项作为分析输入时,可获取所有波段的原始像素值,适用于多数用例;否则,仅应将标注为「适用于分析」的处理模板作为分析输入。系统会动态为该图层的影像应用合适的比例因子,生成科学级浮点型地表反射率像素值。在运行分析前,用户需始终通过图层过滤器(例如指定特定日期范围、云量百分比、任务类型等)或选择特定影像来完成数据筛选。若需在地图查看器中查找并筛选特定影像进行分析,可尝试使用影像集合浏览器。 通用说明 若您初次接触哨兵-2号影像,哨兵-2号浏览器(Sentinel-2 Explorer)可提供良好的入门使用体验。如需更多信息,请参阅此快速入门指南或此详细教程。 数据源 哨兵-2号影像的版权归欧洲空间局(ESA)与欧盟委员会所有。本图层的影像源自微软行星计算机开放数据目录(Microsoft Planetary Computer Open Data Catalog)。

提供机构:
Esri
创建时间:
2021-07-12
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