Εμφάνιση αναρτήσεων με ετικέτα Sentinel satellite data. Εμφάνιση όλων των αναρτήσεων
Εμφάνιση αναρτήσεων με ετικέτα Sentinel satellite data. Εμφάνιση όλων των αναρτήσεων

Κυριακή 20 Δεκεμβρίου 2015

How to Download Sentinel Satellite Data for Free



Download Sentinel-1 and Sentinel-2 Satellite Data
If you want to download Sentinel satellite data, then you’ve come to the right place.


One of the most exciting developments in remote sensing at this time is the European Space Agency’s Copernicus Programme.

Copernicus’ six Sentinel satellites collects comprehensive pictures of our land, ocean, emergency response, atmosphere, security and climate change to understand the health of our planet.

Until very recently, this data has become available to the public at no cost

Today, we show you step-by-step how to download Sentinel satellite data:



Sentinels Scientific Data Hub



In 2014-15, Sentinel-1 and Sentinel-2A were successfully launched from Europe’s Spaceport in French Guiana.

One Sentinel scene after the other, data has been rolling out on a user interface called the Sentinels Scientific Data Hub.

It’s now available for the public to access.

But you will have to hop through a couple of hoops before you can get your fingers on it.

Follow these steps to download free Sentinel satellite data:


Step 1: Create a User Account
Go to Sentinels Scientific Data Hub.

In the top-right of the webmap, click the SIGN UP button.

Insert valid entries for your name, email and location. Click register. Validate your email.

With a few clicks of the mouse, you’ve gain access to ESA’s Sentinel data.

Sign Up Sentinel

Step 2: Select Your Area of Interest
Where is your study area?

Using the SEARCH CRITERIA text box in the top-left, type in your area of interest.

In our example, we’ve typed Germany. Click Enter twice.

From here your search will yield results for all the Sentinel satellite data available.

Sentinel-1 (Synthetic Aperture Radar C-Band) swaths are depicted in red. Sentinel-2 (multispectral data) swaths are depicted in green.

Read More: What’s the difference between active and passive sensors?

Search Criteria Sentinel

Step 3: Download Sentinel Data
Now, that we have our user account created with our study area defined – all we have to do is sift through the results and download our chosen Sentinel data.

As we are working with large data sets, you will have to be patient with download speeds. It’s easy for the server to timeout during the download.

Select the product you want to download. S1A is Sentinel-1A. S2A is Sentinel-2A.

Below the product thumbnail that has the download URL. This is what you want to clip in order to download your chosen Sentinel data.



What’s Next?
After you download Sentinel satellite data, chances are that you are going to want to display it in the visible spectrum. This is exactly how our eyes see objects around us.

Each image is separated by their respective spectral band. See our table below for the spectral bands of Sentinel 2. Sentinel 2B will be identical to Sentinel 2A.

If you want to combine the red, green and blue channels as composite bands (such as Google Earth imagery) – read our composite bands tutorial.

…Or maybe you’d like to perform an NDVI analysis in ArcGIS or an image classification.

You now have free satellite data from Sentinel to help you.


What are the Spectral Bands of Sentinel 2A and 2B?
We’ve listed below, the spectral and spatial resolution of Sentinel 2A. There are 13 bands in total. Four spectral bands have a 10 meter resolution. Six bands have a 20 meter resolution. And the remaining 3 have a spatial resolution of 60 meters.

Here are the spectral band details for Sentinel 2A:




Source: SENTINEL-2 Spatial Resolution

Each single satellite revisit time is 10 days. Because there are two satellites (Sentinel 2A and 2B), this means it has a combined constellation revisit of 5 days.

Source: GIS Geography

Δευτέρα 20 Ιουλίου 2015

EarthServer Project goes into the second round



The EarthServer initiative is establishing Agile Analytics on Petabyte data cubes as a commodity

Pushing the boundaries of Big Earth Data services, the intercontinental Earthserver initiative enables researchers to browse, access, and analyze massive multi-dimensional data sets from a wide range of sources. Big Earth Data at your fingertips - this is the vision of EarthServer for unleashing the potential of Big Data through a disruptive paradigm shift in technology:

• from isolated silos of data with disparate functionality towards a single, uniform information space;
• from a difficult, artificial differentiation between data and metadata access to unified retrieval;
• from zillions of files towards few whatever-size datacubes;
• from limited functionality to the freedom of asking anything, anytime, any server in a peer network of data centers worldwide.

In phase 1, EarthServer has established open ad-hoc analytics on massive Earth Science data, based on and extending the leading Array Database technology, rasdaman. According to EU Commission and inde pendent reviewers, rasdaman will "significantly transform the way that scientists in different areas of Earth Science will be able to access and use data in a way that hitherto was not possible" as demonstrated by portals with over 230 TB of spatio-temporal data. EarthServer "with no doubt has been shaping the Big Earth Data landscape through the standardization activities within OGC, ISO and beyond".

Now phase 2 of EarthServer has started, with an even more ambitious goal: data centers will provide at least 1 Petabyte of 3-D and 4-D datacubes. Technology advance will allow real-time scaling of such Petabyte cubes, and intercontinental fusion. This power of data handling will be wrapped into direct visual interaction based on multi-dimensional visualization techniques, in particular: NASA World Wind. Following the motto "a cube says more than a million images" EarthServer has set out to redefine the Big Data service landscape even more.

This way, critical support will be given to Copernicus and the Sentinel satellite data: a single 3D x/y/t datacube will be constructed for each satellite instrument so that millions of images form a single, simple data space, irrespective of its size resulting. Likewise, each climate dataset will form a single 4D datacube. Access to these cubes is through a clean-slate standards-based query language on n-D grids, OGC WCPS. This yields the agility that any query can be sent at any time, without admin intervention on server side. Multiple cubes can be combined based on parallel, distributed processing. Altogether, the WCPS language allows navigation, extraction, aggregation, and fusion of any-size space/time data cubes using simple, yet powerful query operators.

The consortium consists of Jacobs University (Germany, coordinator), rasdaman GmbH (Germany, SME), , Plymouth Marine Laboratory (UK), European Center for Medium-Range Weather Forecasts (UK), MEEO s.r.l. (Italy, SME), and CITE S.A. (Greece, SME). Additionally, two high-profile international organizations participate: NASA (US) and National Computational Infrastructure (Australia).

Read more: www.earthserver.eu

Contacts: Heike Hoenig
Science Journalist
Email: Email Contact
www.think-dialog.de
Mobil: 0157 7393 7171

Firmensitz: Hans-Hermann-Sieling-Str. 17
D-28759 Bremen

Registrierung:
Handelsregister: HR B 26793 Bremen
USt-Id: DE 64/08/22493


Τετάρτη 15 Ιουλίου 2015

Big Earth Data at your Fingertips

by Heike Hoenig, Science Journalist; PR - Media - Communication



EarthServer initiative is establishing Agile Analytics on Petabyte data cubes as a commodity.

Pushing the boundaries of Big Earth Data services, the intercontinental Earthserver initiative enables researchers to browse, access, and analyze massive multi-dimensional data sets from a wide range of sources. Big Earth Data at your fingertips - this is the vision of EarthServer for unleashing the potential of Big Data through a disruptive paradigm shift in technology:

• from isolated silos of data with disparate functionality towards a single, uniform information space;
• from a difficult, artificial differentiation between data and metadata access to unified retrieval;
• from zillions of files towards few whatever-size datacubes;
• from limited functionality to the freedom of asking anything, anytime, any server in a peer network of data centers worldwide.

In phase 1, EarthServer has established open ad-hoc analytics on massive Earth Science data, based on and extending the leading Array Database technology, rasdaman. According to EU Commission and inde pendent reviewers, rasdaman will "significantly transform the way that scientists in different areas of Earth Science will be able to access and use data in a way that hitherto was not possible" as demonstrated by portals with over 230 TB of spatio-temporal data. EarthServer "with no doubt has been shaping the Big Earth Data landscape through the standardization activities within OGC, ISO and beyond".

Now phase 2 of EarthServer has started, with an even more ambitious goal: data centers will provide at least 1 Petabyte of 3-D and 4-D datacubes. Technology advance will allow real-time scaling of such Petabyte cubes, and intercontinental fusion. This power of data handling will be wrapped into direct visual interaction based on multi-dimensional visualization techniques, in particular: NASA World Wind. Following the motto "a cube says more than a million images" EarthServer has set out to redefine the Big Data service landscape even more.

This way, critical support will be given to Copernicus and the Sentinel satellite data: a single 3D x/y/t datacube will be constructed for each satellite instrument so that millions of images form a single, simple data space, irrespective of its size resulting. Likewise, each climate dataset will form a single 4D datacube. Access to these cubes is through a clean-slate standards-based query language on n-D grids, OGC WCPS. This yields the agility that any query can be sent at any time, without admin intervention on server side. Multiple cubes can be combined based on parallel, distributed processing. Altogether, the WCPS language allows navigation, extraction, aggregation, and fusion of any-size space/time data cubes using simple, yet powerful query operators.

The consortium consists of Jacobs University (Germany, coordinator), rasdaman GmbH (Germany, SME), , Plymouth Marine Laboratory (UK), European Center for Medium-Range Weather Forecasts (UK), MEEO s.r.l. (Italy, SME), and CITE S.A. (Greece, SME). Additionally, two high-profile international organizations participate: NASA (US) and National Computational Infrastructure (Australia).