Sentinel-2 Views

Sentinel-2 Level-1C imagery with on-the-fly renderings for visualization. This imagery layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery. Sentinel-2 imagery can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity. Geographic Coverage Global Continental land masses from 65.4° South to 72.1° North, with these special guidelines: All coastal waters up to 20 km from the shore All islands greater than 100 km2 All EU islands All closed seas (e.g. Caspian Sea) The Mediterranean Sea Temporal Coverage This layer includes a rolling collection of Sentinel-2 imagery acquired within the past 14 months. This layer is updated daily with new imagery. The revisit time for each point on Earth is every 5 days. The number of images available will vary depending on location. Product Level This service provides Level-1C Top of Atmosphere imagery. Alternatively, Sentinel-2 Level-2A is also available. Image Selection/Filtering The most recent and cloud free images are displayed by default. Any image available within the past 14 months can be displayed via custom filtering. Filtering can be done based on attributes such as Acquisition Date, Estimated Cloud Cover, and Tile ID. Tile_ID is computed as [year][month][day]T[hours][minutes][seconds]_[UTMcode][latitudeband][square]_[sequence]. More… Visual Rendering Default rendering is Natural Color (bands 4,3,2) with Dynamic Range Adjustment (DRA). The DRA version of each layer enables visualization of the full dynamic range of the images. Rendering (or display) of band combinations and calculated indices is done on-the-fly from the source images via Raster Functions. Various pre-defined Raster Functions can be selected or custom functions created. Available renderings include: Agriculture with DRA, Bathymetric with DRA, Color-Infrared with DRA, Natural Color with DRA, Short-wave Infrared with DRA, Geology with DRA, NDMI Colorized, Normalized Difference Built-Up Index (NDBI), NDWI Raw, NDWI - with VRE Raw, NDVI – with VRE Raw (NDRE), NDVI - VRE only Raw, NDVI Raw, Normalized Burn Ratio, NDVI Colormap. Multispectral Bands Band Description Wavelength (µm) Resolution (m) 1 Coastal aerosol 0.433 - 0.453 60 2 Blue 0.458 - 0.523 10 3 Green 0.543 - 0.578 10 4 Red 0.650 - 0.680 10 5 Vegetation Red Edge 0.698 - 0.713 20 6 Vegetation Red Edge 0.733 - 0.748 20 7 Vegetation Red Edge 0.773 - 0.793 20 8 NIR 0.785 - 0.900 10 8A Narrow NIR 0.855 - 0.875 20 9 Water vapour 0.935 - 0.955 60 10 SWIR – Cirrus 1.365 - 1.385 60 11 SWIR-1 1.565 - 1.655 20 12 SWIR-2 2.100 - 2.280 20 Additional Notes Overviews exist with a spatial resolution of 150m and are updated every quarter based on the best and latest imagery available at that time. To work with source images at all scales, the ‘Lock Raster’ functionality is available. NOTE: ‘Lock Raster’ should only be used on the layer for short periods of time, as the imagery and associated record Object IDs may change daily. This ArcGIS Server dynamic imagery layer can be used in Web Maps and ArcGIS Desktop as well as Web and Mobile applications using the REST based Image services API. Images can be exported up to a maximum of 4,000 columns x 4,000 rows per request. Data Source Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS, or alternatively access EarthExplorer or the Copernicus Data Space Ecosystem to download the scenes. For information on Sentinel-2 imagery, see Sentinel-2.本数据集为支持可视化的实时渲染型哨兵2号（Sentinel-2）Level-1C级影像。该影像图层直接调取亚马逊云服务（Amazon Web Services, AWS）平台上的Sentinel-2数据集，并每日更新新增影像。Sentinel-2影像可应用于众多行业、科研领域及管理实践，典型应用场景包括但不限于：土地覆盖与环境监测、气候变化研究、森林砍伐监测、灾害与应急管理、国家安全保障、植物健康与精准农业、森林监测、流域分析与径流预测、土地利用规划、城市扩张追踪、过火区域识别与火灾烈度评估。 地理覆盖范围：覆盖南纬65.4°至北纬72.1°之间的全球大陆陆地，同时包含以下特殊覆盖区域：距海岸20公里以内的所有近岸海域、面积大于100平方公里的所有岛屿、欧盟所有岛屿、所有封闭海域（例如里海）以及地中海。 时间覆盖范围：本图层包含近14个月内获取的Sentinel-2影像滚动数据集，每日更新新增影像。地球上任意点位的重访周期为5天，可用影像数量因点位位置而异。 产品级别：本服务提供Level-1C级大气顶（Top of Atmosphere, TOA）影像，同时也可提供Sentinel-2 Level-2A级影像。 影像选择与过滤：默认显示最新的无云影像，用户可通过自定义过滤功能展示近14个月内的任意可用影像。过滤可基于采集日期、估算云量、瓦片ID（Tile ID）等属性进行。瓦片ID的命名格式为：[年份][月份][日期]T[小时][分钟][秒]_[UTM编码][纬度带][网格块]_[序列编号]。更多信息…… 可视化渲染：默认渲染采用自然色模式（波段4、3、2）并启用动态范围调整（Dynamic Range Adjustment, DRA）。各图层的DRA版本可实现影像全动态范围的可视化展示。波段组合与计算指数的渲染（或显示）可通过栅格函数（Raster Functions）从源影像实时生成。用户可选择多种预定义栅格函数，或创建自定义栅格函数。可用的渲染模式包括：农业专用DRA模式、水深测量DRA模式、彩色红外DRA模式、自然色DRA模式、短波红外DRA模式、地质专用DRA模式、着色归一化差异水分指数（NDMI）、归一化差异建筑指数（Normalized Difference Built-Up Index, NDBI）、原始归一化差异水体指数（NDWI）、带植被红边的原始NDWI、带植被红边的原始归一化差异植被指数（Normalized Difference Vegetation Index, NDVI，即NDRE）、仅植被红边的原始NDVI、原始NDVI、归一化燃烧比率（Normalized Burn Ratio）、着色NDVI。 多光谱波段参数如下： 波段编号 | 波段描述 | 波长范围（μm） | 空间分辨率（m） 1 | 海岸气溶胶 | 0.433 - 0.453 | 60 2 | 蓝光 | 0.458 - 0.523 | 10 3 | 绿光 | 0.543 - 0.578 | 10 4 | 红光 | 0.650 - 0.680 | 10 5 | 植被红边 | 0.698 - 0.713 | 20 6 | 植被红边 | 0.733 - 0.748 | 20 7 | 植被红边 | 0.773 - 0.793 | 20 8 | 近红外（NIR） | 0.785 - 0.900 | 10 8A | 窄带近红外 | 0.855 - 0.875 | 20 9 | 水汽 | 0.935 - 0.955 | 60 10 | 短波红外-卷云 | 1.365 - 1.385 | 60 11 | 短波红外1 | 1.565 - 1.655 | 20 12 | 短波红外2 | 2.100 - 2.280 | 20 附加说明：本数据集提供空间分辨率为150m的概览图，每季度基于当前可用的最优最新影像进行一次更新。若需适配全尺度的源影像，可启用「锁定栅格（Lock Raster）」功能。注意：「锁定栅格」仅可短期用于该图层，因为影像及关联的记录对象ID每日均可能发生变化。本ArcGIS Server动态影像图层可应用于Web地图、ArcGIS Desktop，以及通过基于REST的影像服务API构建的Web和移动应用程序。单次请求导出的影像最大尺寸为4000列×4000行。 数据源：Sentinel-2影像由欧洲空间局（European Space Agency, ESA）、欧盟委员会与美国地质调查局（United States Geological Survey, USGS）合作开发。数据由亚马逊云服务（Amazon Web Services, AWS）托管，作为其开放数据注册表的一部分。用户可通过AWS上的Sentinel-2数据集获取影像，或通过EarthExplorer、哥白尼数据空间生态系统（Copernicus Data Space Ecosystem）下载影像场景。如需了解Sentinel-2影像的更多信息，请参阅Sentinel-2官方页面。