UP42 - Your Data PartnerData
We have 50 different data sets on the UP42 marketplace that can be seamlessly accessed through the console or API. But did you know that you can also easily task a satellite or order custom data with us?
We're excited to share our new Order Data page, outlining our extensive and expanding tasking and custom data ordering options. On this page, you will find a selection of industry-leading optical, radar, and aerial data providers.
Our team of geospatial data experts are here to help you every step of the way. They’ll be happy to advise you on the best constellations for your use case and in no time at all, they’ll be ensuring the safe delivery of your data sets to the UP42 platform and available via API to integrate into your own data ecosystem.
Launching Our New Documentation HubFeature
We aim to provide a seamless out of the box experience with the UP42 platform, but with such a wide variety of capabilities both within the core platform and offered by our amazing partners, some pointers are sometimes needed.
Launching our new Documentation Hub - a central place to find information on how to use the UP42 platform, our data and processing capabilities, and the Python SDK and API. The Documentation Hub is a complete overhaul of our documentation, carried out with user experience front and center.
This clean, fresh uncluttered approach will allow you to quickly find what you’re looking for whether you’re a product manager trying to search and order satellite imagery from the archive or a data scientist building and selling algorithms through the UP42 marketplace.
Keep your eyes peeled in the coming days for a blog post from John Ngo, our Senior UX Designer, who will discuss how the Documentation Hub was developed with you, the user, in mind. And in the meantime, head over to the Documentation Hub and let us know what you think!
Sentinel-2 L2A Analytic and Pan-SharpeningDataProcessing
Last month, we announced our new Sentinel-2 block that provides access to the latest 12-bit Sentinel 2 imagery, ideal for processing and analytics purposes. This block comes with 12 spectral bands from visible and NIR to short-wave IR, enabling a wide range of use cases.
However, most analytics and processing capabilities require all bands to be processed at the same resolution. As such, this block is now compatible with our Pan-Sharpening block. This enables you to upsample all 13 bands to a 10m resolution and consolidate them into a single GeoTIFF file that can be easily processed and connected to a range of analytics.
Scale Your AnalysisFeature
We've relaxed our limits on the maximum AOI from 1000km2 to 180,000km2 and the number of jobs you can run concurrently from 10 to 1000. This allows you to parallelize your analysis more efficiently and cover more land than ever before.
1. Open a project in UP42.
2. Click the settings button in the subnavigation. 3. Scroll down to the Threshold Limits section.
4. Adjust the sliders as required.
Unified Search ResultsFeature
You can now search and discover data to purchase or process in one unified set of search results. We’ve added tags to the catalog search results to differentiate between data that can be purchased or processed.
Sentinel-1, 2, 3, and 5 imagery that can only be processed is marked only with the tag “processing”, while Pléiades and SPOT imagery in archived cold storage is tagged with “purchase”. The latter is ordered and delivered to your user storage within 24 hours. Pléiades and SPOT imagery that is warm is tagged with both “processing” and “purchase” and is available almost immediately.
You can also use the “Usage Type” search filter to narrow your results to either data available to process or purchase. Finally, in the “Cart”, you can switch between “Purchase” and “Processing” tabs, depending on whether you want to order data for download or configure a job to process your selected data.
WorldDEM™ from Airbus
We are excited to launch WorldDEM™ from Airbus. Hailed as "The New Standard for Global Elevation Models", WorldDEM™ brings UP42 users a Digital Surface Model (DSM) with pole-to-pole coverage, high accuracy, and consistency.
WorldDEM™ is based on radar satellite data acquired during the TanDEM-X Mission, which had the primary goal of generating a high-quality DSM of the entirety of the Earth's surface, based on SAR interferometry.
The goal of the mission was clearly achieved with all 148.5 million km2 of the Earth's surface being captured in the space of four and half years, driving consistency in the generated DSM and global coverage. The elevation models' accuracy is evident, with the Absolute Vertical Accuracy and Absolute Horizontal Accuracy being <4m and <6m, respectively.
For more information about WorldDEM™ and its use cases, check out the following video:
Sentinel-2 Reservoir and Lake Surface Monitoring
This new processing block from Terra Cover enables you to create a robust surface water extent map using a deep neural network. This allows you to visualize the presence and area of a lake or reservoir for your area of interest. The approach of generating surface extent maps are significantly less impacted by atmospheric disturbances compared to traditional index-based thresholding methods, ensuring the accuracy of the reservoir and lake surface is higher.
The model first checks for the presence of a lake or reservoir using Terra Cover’s time series data set, also available on UP42. The pre-check ensures that you don’t spend money or time on computationally-intensive deep learning models when there is no presence of water within your area of interest. The block also automatically utilizes the s2cloudless cloud mask to minimize the disruption of clouds in your analysis.
Viewshed from Intermap provides the line-of-sight from any point, height, radius, and azimuth on an elevation model. The model outputs a GeoTIFF, with the pixels visible from the point of origin are in green, while the pixels not visible from the point of origin are in red (see below).
Viewshed is primarily used in the telecommunications industry to evaluate the reach of signals from telecom transmitters. To ensure signal strength is uninterrupted, telecommunications providers must place communicating transmitters within each others' line of sight, avoiding buildings, trees, and terrain. As such, viewshed is the perfect tool to analyze and optimize signal strength.
SDK Version 0.15.0
The latest version of the SDK reflects the changes previously announced for the UP42 console. Firstly, you can now order data without running a workflow, whether that data is available directly or needs to be ordered from the OneAtlas archived storage. Orders can now be created using the
Secondly, you can now reuse your purchased OneAtlas imagery through the Python SDK by specifying your
asset ID in the
Workflow.construct_paramaters command. This enables you to access and process data that is currently in your user storage.
New Machine Types
Running geospatial analytics at scale requires powerful computing infrastructure. Indeed, as most geospatial developers are painfully aware, complex algorithms can take hours or even days to train or analyze large areas of interest.
With an expanding range of increasingly complex machine-learning algorithms available on the UP42 marketplace, it is incumbent upon us as a company to ensure we continue to provide an efficient infrastructure for such analysis.
As such, we now provide block builders with new options for larger CPU machines with 8 or 16 cores and 40 or 80 GB RAM and a GPU machine type - GPU P100 - to increase performance.
These new machine types will reduce job runtime significantly, ensuring you get the insights you need promptly. We've also significantly reduced the infrastructure costs associated with all our machine types making using UP42 for complex analysis more affordable.
Double the Data
We've radically expanded the amount of SPOT and Pléiades available through UP42 by enabling the collection of scenes in the OneAtlas Archived Storage.
This brings much more consistency to our OneAtlas coverage and provides you with more options for many AOIs. For example, you can now choose between 2.7 times more scenes in the US than were previously available.
Flood and Water Finder
Flood and Water Finder from the UP42 team generate a binary water or flood mask from Pléiades or SPOT imagery. This enables you to run analysis on SPOT or Pléiades imagery omitting water bodies or flooded areas from your analysis.
Alternatively, you can convert your output into a vector file to use the water body or flooded area as an area-of-interest for any water-related analysis.
The Water Finder generates a GeoTIFF output highlighting the presence of water on a single SPOT or Pléiades image. Alternatively, the Flood Finder generates a similar output but looking at the area of water that is not present in an initial SPOT or Pléiades image but is present in a subsequent image.
Basemaps act as a layer upon which you can overlay geospatial information and visualize information within its broader context. This essential component of many geospatial analyses is now available through UP42 with sharp, consistent, and fresh imagery from OneAtlas.
This block provides 1.5 m SPOT imagery globally and 0.5 m Pléiades imagery for major urban areas. The data can be downloaded and streamed from UP42 in GeoTIFF format.
Global Oil Seeps
Detecting oil on the ocean surface and differentiating between natural oil seepage and oil slicks is essential for oil exploration companies.
Developed over 20 years, Airbus has collated a global oil seep database covering 76 million sq km. It is updated yearly with new areas and updates on existing areas. This database acts as an invaluable cost-effective risk ranking tool for the OGME industry.
Buy Once, Use Forever
You may recall that we implemented our user storage functionality last month, which enabled the seamless delivery of tasked imagery. We're building on that functionality and are happy to announce that any SPOT and Pléiades imagery you purchase through our download blocks will now be automatically accessible through your user storage.
Within the user storage, you'll find the data's asset_id that you can use when configuring a job to reuse the data as many times as you'd like.