If you're a global or SharePoint admin in Office 365, you can convert any existing site to a hub site by using Microsoft PowerShell. In this example, you'll learn how to create a SharePoint hub site and to associate another site with it. In this scenario, you are setting up sites for the Contoso marketing department:
To work with this example in SharePoint Online, we recommend that you use a developer tenant and not your production tenant. All of the following steps use a fictional tenant named \"Contoso\" that you can replace with your tenant name.
First, we will create the marketing site that will serve as a hub site that other sites can associate with. The intent is that any sites that are marketing-oriented will be part of the hub site. This applies common navigation and branding across the associated sites, enables team members to search across all the sites associated with the single hub site, and takes advantage of other hub site features.
Run the Grant-PnPHubSiteRights cmdlet to grant a user rights to the marketing hub site. We'll use nestorw@contoso in this example, but you can use any valid user on your tenant (you can specify multiple users by separating them with a comma):
As a companion to this article, we recommend using the Surface Hub and Microsoft Teams Rooms automated setup guide when signed in to the Microsoft 365 Admin Center. This guide will customize your experience based on your environment. If you're hosted in Exchange Online and using Microsoft Teams, the guide will automatically create your device account with the correct settings. Or use it to validate existing resource accounts to help turn them into compatible Surface Hub device accounts. To review best practices without signing in and activating automated setup features, go to the M365 Setup portal.
GitHub Actions are designed to help you build robust and dynamic automations. This guide will show you how to craft GitHub Actions workflows that include environment variables, customized scripts, and more.
GitHub Actions allow you to customize your workflows to meet the unique needs of your application and team. In this guide, we'll discuss some of the essential customization techniques such as using variables, running scripts, and sharing data and artifacts between jobs.
GitHub Actions include default environment variables for each workflow run. If you need to use custom environment variables, you can set these in your YAML workflow file. This example demonstrates how to create custom variables named POSTGRES_HOST and POSTGRES_PORT. These variables are then available to the node client.js script.
You can use actions to run scripts and shell commands, which are then executed on the assigned runner. This example demonstrates how an action can use the run keyword to execute npm install -g bats on the runner.
If your job generates files that you want to share with another job in the same workflow, or if you want to save the files for later reference, you can store them in GitHub as artifacts. Artifacts are the files created when you build and test your code. For example, artifacts might include binary or package files, test results, screenshots, or log files. Artifacts are associated with the workflow run where they were created and can be used by another job. All actions and workflows called within a run have write access to that run's artifacts.
Dedicated to supplying data for Copernicus services, Sentinel-2 carries a multispectral imager with a swath of 290 km. The imager provides a versatile set of 13 spectral bands spanning from the visible and near infrared to the shortwave infrared, featuring four spectral bands at 10 m, six bands at 20 m and three bands at 60 m spatial resolution. As indices primarily deal with combining various band reflectances, the table of 13 bands is given here for reference (see here for details). The names of the Sentinel-2 bands at your disposal are B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B10, B11 and B12.
Sentinel-3 is a low Earth-orbit moderate size satellite compatible with small launchers including VEGA and ROCKOT. The main objective of the mission is to measure sea surface topography, sea and land surface temperature, and ocean and land surface color with high accuracy and reliability to support ocean forecasting systems, environmental monitoring and climate monitoring. Ocean and Land Colour Instrument (OLCI) provides a set of 21 bands ranging from the visible to the near infrared light (400 nm < λ< 1 020 nm). The Sentinel-3 provides imagery in 300 m spatial resolution. Sentinel-3 OLCI instrument ensures continuity of the ENVISAT MERIS.
Sentinel-5P provides atmospheric measurements, relating to air quality, climate forcing, ozone and UV radiation with high spatio-temporal resolution. Its data is used for monitoring of concentrations of carbon monoxide (CO), nitrogen dioxide (NO2) and ozone (O3) in air as well as for monitoring of UV aerosol index (AER_AI) and different geophysical parameters of clouds (CLOUD). EO Browser serves level 2 geophysical products. The TROPOspheric Monitoring Instrument (TROPOMI) on board of the satellite operates in the ultraviolet to shortwave infrared range with 7 different spectral bands: UV-1 (270-300nm), UV-2 (300-370nm), VIS (370-500nm), NIR-1 (685-710nm), NIR-2 (755-773nm), SWIR-1 (1590-1675nm) and SWIR-3 (2305-2385nm). Its spatial resolution is below 8km for wavelengths above 300nm and below 50km for wavelength below 300nm. It covers almost the whole globe (95 % coverage for latitudes in the interval [-7, 7]).
The Landsat program is the longest running enterprise for acquisition of satellite imagery of Earth, running from 1972. The most recent, Landsat 8, was launched on February 11, 2013. Landsat-8 data has 11 spectral bands with spatial resolutions ranging from 15 to 60 meters. The names of the Landsat-8 bands at your disposal are B01, B02, B03, B04, B05, B06, B07, B08, B09, B10 and B11.
Landsat Enhanced Thematic Mapper + (ETM+) is carried on top of Landsat 7 satellite. There are 8 optical and 1 thermal infrared bands available in 30 meter resolution (with panchromatic band in 15 meter resolution). Global data is available since April 1999, with a revisit time of 16 days. Top of the atmosphere level-1, and surface reflectance level-2 products are provided. The collection is useful for monitoring of vegetation, ice and water resources, change detection and the creation of land use - land cover maps. Note that there are data gaps for all images acquired since 2003-05-30 due to sensor failure. Learn more about the collection here.
SPOT 6/7 is a satellite constellation providing very high-resolution optical imagery and is owned by Airbus. It is composed of two twin satellites orbiting the Earth 180 apart. The satellites deliver 1.5 m optical imagery and offer a daily revisit capability to any point on the globe. SPOT 6/7 data with its high spatial resolution is suitable for a range of remote sensing applications such as vegetation monitoring, precise mapping, risk and disaster management. To learn more about SPOT, visit our documentation page.
The combination of multiple remote sensing data sources can provide invaluable information that would not be obtained with a single sensor alone. Observation-level or pixel-based fusion combines pixels from different sources to form an image containing new information (more information). Two widely used examples of pixel-based fusion are pan-sharpening and the fusion of radar and multispectral optical images. On the one hand, pan-sharpening consists of blending a high-resolution panchromatic image with a lower resolution multispectral image to obtain a high-resolution multispectral image. On the other hand, the combination of radar and optical imagery provides images with increased spectral resolution that can mitigate the drawbacks of each product (such as cloud cover for optical images), but also provide increased temporal resolution with more frequent overpasses.
Global Land Cover products at 100 m resolution are delivered annually by The Copernicus Global Land Service (CGLS). The most recent collection 3 (version 3.0.1) of 100 m Land Cover products for the years 2015 - 2019 were generated from the PROBA-V 100 m and 300 m satellite observations and several other ancillary datasets, with global coverage. Global Land Cover products are generated from 3 years input data in three modes: base reference, consolidated or near real time mode. As from 2020, (2019-conso and 2020-nrt products) are planned to be generated from the combination of Sentinel-1 and Sentinel-2 satellite observations following end of PROBA-V operations. The Global Land Cover data contains one main land cover discrete classification map and several other additional layers. For more information on Global land cover products, see the product User Manual.
The River and Lake Ice Extent S1 (RLIE S1) product differentiates open water bodies, snow-covered or snow-free ice areas from areas with no data. The product is generated in near-real time based on the revisit time of the Sentinel 1 constellation.
The River and Lake Ice Extent S2 (RLIE S2) product differentiates open water bodies, snow-covered or snow-free ice areas from other features, cloud cover or cloud shadows and areas with no data. The product is generated in near-real time based on the revisit time of the Sentinel 2 constellation
The S1 and S2 River and Lake Ice Extent (RLIE S1+S2) product differentiates open water bodies, snow-covered or snow-free ice areas from other features, cloud cover or cloud shadows and areas with no data. The product is generated in delayed-time, resulting from the combination of RLIE S1 and RLIE S2 products.
Sentinel-2 L2A 120m mosaic is a derived product, offering a cloudless mosaic of the whole world for all 12 Sentinel-2 bands. It is thus possible to create Sentinel-2 visualizations on a global level. The resolution of the collection is 120 meters. The product contains best pixel values for 10-daily periods, modelled by removing the cloudy pixels and then performing interpolation among remaining values. As clouds can be missed and as there are some parts of the world which have lengthy cloudy periods, clouds might be remaining in some parts. The collection is available for 2019 (with 6 Sentinel-2 bands) and annually since 2020 (all 12 Sentinel-2 bands). The modelling script is available here. 59ce067264