Data Recipes (Tutorials)

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Data Recipes — Further Reading

Learn more and find extended references in a variety of topics related to ASF’s Data Recipes to expand your SAR knowledge….

Unwrapped Interferograms: Creating a Deformation Map

Learn how to convert the phase values in an unwrapped interferogram to vertical displacement units (meters) in this ASF data recipe….

How to Create Cloud Storage Using AWS Simple Storage Service (S3)

Learn more about creating cloud storage using the Simple Storage Service (S3) in this Alaska Satellite Facility Data Recipe….

Mapear la Inundación Regional con SAR de banda L por el Espacio

Esta receta de datos de dos partes es para los usuarios quienes quieren mapear la inundaciónregional con el Radar de Apertura Sintética de banda L….

How to Configure AWS for Running the GMT5SAR InSAR Recipe

Learn how to use an AWS EC2 instance to run the GMT5SAR InSAR data recipe….

How to Map Regional Inundation with Spaceborne L-band SAR using ArcGIS

Learn more about mapping regional inundation using spaceborne L-band SAR data and ArcGIS with this Alaska Satellite Facility Data Recipe….

How to Move files in and out of an AWS EC2 Instance – Windows

Learn more about moving files in and out of an AWS Elastic Compute Cloud instance on Windows with this Alaska Satellite Facility Data Recipe….

How to Phase Unwrap an Interferogram

Learn more about phase unwrapping interferograms using the European Space Agency’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script in the Cloud — Windows

Learn more about creating and unwrapping interferograms using free GMT5SAR software on Windows with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script in the Cloud — OS X

Learn more about creating and unwrapping interferograms using free GMT5SAR software on Mac OS X with this Alaska Satellite Facility Data Recipe….

How to View Radiometrically Terrain-Corrected (RTC) Images in QGIS

Learn more about viewing radiometrically terrain-corrected images using QGIS with this Alaska Satellite Facility Data Recipe….

How to View and Geocode CEOS Data in ASF MapReady

Learn more about viewing and geocoding CEOS-format data using ASF MapReady with this Alaska Satellite Facility Data Recipe….

How to Terrain-Correct CEOS Data

Learn more about terrain-correcting CEOS-format data using the Ulander algorithm with this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using the ESA Toolbox

Learn more about radiometrically terrain-correcting Sentinel-1 data using ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using Sentinel-1 Toolbox Script

Learn more about radiometrically terrain-correcting Sentinel-1 data using ESA’s Sentinel-1 Toolbox script with this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using GAMMA Software

Learn more about radiometrically terrain-correcting Sentinel-1 data using GAMMA software with this Alaska Satellite Facility Data Recipe….

How to Map Regional Inundation with Spaceborne L-band SAR using QGIS

Learn more about mapping regional inundation using spaceborne L-band SAR data and QGIS with this Alaska Satellite Facility Data Recipe….

How to Generate a Subset from the Mosaic of Two Sentinel-1 Products in the Same Swath

Learn more about generating a subset from the mosaic of two Sentinel-1 products in the same swath using the Sentinel-1 Toolbox with this ASF Data Recipe….

How to Create an Interferogram Using ESA’s Sentinel-1 Toolbox

Learn more about creating interferograms using the European Space Agency’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script

Learn more about creating and unwrapping interferograms using free GMT5SAR software with this Alaska Satellite Facility Data Recipe….

How to View Seasat HDF5 Files in ASF MapReady

Learn more about viewing Seasat synthetic aperture radar data in HDF5 format using ASF MapReady with this Alaska Satellite Facility Data Recipe….

How to View Radiometrically Terrain-Corrected (RTC) Images in ArcGIS

Learn more about viewing radiometrically terrain-corrected images using ArcGIS with this Alaska Satellite Facility Data Recipe….

How to Connect to EC2 with SSH Mac OS X

Learn more about connecting to an AWS Elastic Compute Cloud instance using SSH protocol on Mac OS X with this Alaska Satellite Facility Data Recipe….

How to Connect to your EC2 Instance using PuTTY V1.1

Learn more about connecting to an AWS Elastic Compute Cloud instance using PuTTY V1.1 on Windows with this Alaska Satellite Facility Data Recipe….

How to Create a Subset of a Sentinel-1 Product

Learn more about creating a subset of a Sentinel-1 product using the Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create an RGB Composite from Multi-Temporal Sentinel-1 Data

Learn more about creating an RGB composite using ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create a Billing Alarm

Learn more about using Amazon Web Services to create a Billing Alarm with this Alaska Satellite Facility Data Recipe….

How to Create a Basic Elastic Cloud Compute (EC2) Instance

Learn more about using Amazon Web Services to create an Elastic Compute Cloud instance with this Alaska Satellite Facility Data Recipe….

How to Generate a Mosaic of Two Sentinel-1 Products in Adjacent Paths

Learn more about generating a mosaic of two Sentinel-1 products in adjacent paths using the Sentinel-1 Toolbox with this ASF Data Recipe….

How to Create a DEM using Sentinel-1 Data

Learn more about creating DEMs using Sentinel-1 data and the optional ASF Baseline tool with this Alaska Satellite Facility Data Recipe….

How to Detect Environmental Change using SAR Data in QGIS

Learn more about detecting environmental change in synthetic aperture radar data using QGIS with this Alaska Satellite Facility Data Recipe….

How to Detect Environmental Change using SAR Data in ArcGIS

Learn more about detecting environmental change in synthetic aperture radar data using ArcGIS with this Alaska Satellite Facility Data Recipe….

How to Automatically Generate a Radiometrically Terrain-Corrected (RTC) Sentinel-1 Image using Cloud Computing

Learn more about generating radiometrically terrain-corrected Sentinel-1 images using cloud computing in this Alaska Satellite Facility Data Recipe….

How to Automate a Radiometric Terrain Correction Process Chain Using a Sentinel-1 Toolbox Graph

Learn more about automating a radiometric terrain correction process chain using ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create Glacier Velocity Maps with Sentinel-1 Toolbox

Learn more about creating glacier velocity maps to estimate glacier motion using the Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Geocode Sentinel-1 with QGIS 3.X

Learn more about geocoding Sentinel-1 synthetic aperture radar data using QGIS 3.X with this Alaska Satellite Facility Data Recipe….

How to Geocode Sentinel-1 with QGIS 2.18

Learn more about geocoding Sentinel-1 synthetic aperture radar data using QGIS 2.18 with this Alaska Satellite Facility Data Recipe….

How to Geocode Sentinel-1 with ArcGIS

Learn more about geocoding Sentinel-1 synthetic aperture radar data using ArcGIS with this Alaska Satellite Facility Data Recipe….

How to Geocode Sentinel-1 with GDAL

Learn more about geocoding Sentinel-1 synthetic aperture radar data using GDAL with this Alaska Satellite Facility Data Recipe….

How to Map Regional Inundation with Sentinel-1 using Sentinel-1 Toolbox

Learn more about mapping regional inundation using Sentinel-1 data and ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to View and Geocode CEOS Data in ASF MapReady

Learn more about viewing and geocoding CEOS-format data using ASF MapReady with this Alaska Satellite Facility Data Recipe….

How to Terrain-Correct CEOS Data

Learn more about terrain-correcting CEOS-format data using the Ulander algorithm with this Alaska Satellite Facility Data Recipe….

How to View Seasat HDF5 Files in ASF MapReady

Learn more about viewing Seasat synthetic aperture radar data in HDF5 format using ASF MapReady with this Alaska Satellite Facility Data Recipe….

How to Map Regional Inundation with Spaceborne L-band SAR using ArcGIS

Learn more about mapping regional inundation using spaceborne L-band SAR data and ArcGIS with this Alaska Satellite Facility Data Recipe….

How to View Radiometrically Terrain-Corrected (RTC) Images in ArcGIS

Learn more about viewing radiometrically terrain-corrected images using ArcGIS with this Alaska Satellite Facility Data Recipe….

How to Detect Environmental Change using SAR Data in ArcGIS

Learn more about detecting environmental change in synthetic aperture radar data using ArcGIS with this Alaska Satellite Facility Data Recipe….

How to Geocode Sentinel-1 with ArcGIS

Learn more about geocoding Sentinel-1 synthetic aperture radar data using ArcGIS with this Alaska Satellite Facility Data Recipe….

How to Create Cloud Storage Using AWS Simple Storage Service (S3)

Learn more about creating cloud storage using the Simple Storage Service (S3) in this Alaska Satellite Facility Data Recipe….

How to Configure AWS for Running the GMT5SAR InSAR Recipe

Learn how to use an AWS EC2 instance to run the GMT5SAR InSAR data recipe….

How to Move files in and out of an AWS EC2 Instance – Windows

Learn more about moving files in and out of an AWS Elastic Compute Cloud instance on Windows with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script in the Cloud — Windows

Learn more about creating and unwrapping interferograms using free GMT5SAR software on Windows with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script in the Cloud — OS X

Learn more about creating and unwrapping interferograms using free GMT5SAR software on Mac OS X with this Alaska Satellite Facility Data Recipe….

How to Connect to EC2 with SSH Mac OS X

Learn more about connecting to an AWS Elastic Compute Cloud instance using SSH protocol on Mac OS X with this Alaska Satellite Facility Data Recipe….

How to Connect to your EC2 Instance using PuTTY V1.1

Learn more about connecting to an AWS Elastic Compute Cloud instance using PuTTY V1.1 on Windows with this Alaska Satellite Facility Data Recipe….

How to Create a Billing Alarm

Learn more about using Amazon Web Services to create a Billing Alarm with this Alaska Satellite Facility Data Recipe….

How to Create a Basic Elastic Cloud Compute (EC2) Instance

Learn more about using Amazon Web Services to create an Elastic Compute Cloud instance with this Alaska Satellite Facility Data Recipe….

How to Automatically Generate a Radiometrically Terrain-Corrected (RTC) Sentinel-1 Image using Cloud Computing

Learn more about generating radiometrically terrain-corrected Sentinel-1 images using cloud computing in this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using GAMMA Software

Learn more about radiometrically terrain-correcting Sentinel-1 data using GAMMA software with this Alaska Satellite Facility Data Recipe….

How to Geocode Sentinel-1 with GDAL

Learn more about geocoding Sentinel-1 synthetic aperture radar data using GDAL with this Alaska Satellite Facility Data Recipe….

How to Configure AWS for Running the GMT5SAR InSAR Recipe

Learn how to use an AWS EC2 instance to run the GMT5SAR InSAR data recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script in the Cloud — Windows

Learn more about creating and unwrapping interferograms using free GMT5SAR software on Windows with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script in the Cloud — OS X

Learn more about creating and unwrapping interferograms using free GMT5SAR software on Mac OS X with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script

Learn more about creating and unwrapping interferograms using free GMT5SAR software with this Alaska Satellite Facility Data Recipe….

Unwrapped Interferograms: Creating a Deformation Map

Learn how to convert the phase values in an unwrapped interferogram to vertical displacement units (meters) in this ASF data recipe….

How to Configure AWS for Running the GMT5SAR InSAR Recipe

Learn how to use an AWS EC2 instance to run the GMT5SAR InSAR data recipe….

How to Phase Unwrap an Interferogram

Learn more about phase unwrapping interferograms using the European Space Agency’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script in the Cloud — Windows

Learn more about creating and unwrapping interferograms using free GMT5SAR software on Windows with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script in the Cloud — OS X

Learn more about creating and unwrapping interferograms using free GMT5SAR software on Mac OS X with this Alaska Satellite Facility Data Recipe….

How to Create an Interferogram Using ESA’s Sentinel-1 Toolbox

Learn more about creating interferograms using the European Space Agency’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create and Unwrap an Interferogram with GMT5SAR Script

Learn more about creating and unwrapping interferograms using free GMT5SAR software with this Alaska Satellite Facility Data Recipe….

How to Create a DEM using Sentinel-1 Data

Learn more about creating DEMs using Sentinel-1 data and the optional ASF Baseline tool with this Alaska Satellite Facility Data Recipe….

Mapear la Inundación Regional con SAR de banda L por el Espacio

Esta receta de datos de dos partes es para los usuarios quienes quieren mapear la inundaciónregional con el Radar de Apertura Sintética de banda L….

How to View Radiometrically Terrain-Corrected (RTC) Images in QGIS

Learn more about viewing radiometrically terrain-corrected images using QGIS with this Alaska Satellite Facility Data Recipe….

How to Map Regional Inundation with Spaceborne L-band SAR using QGIS

Learn more about mapping regional inundation using spaceborne L-band SAR data and QGIS with this Alaska Satellite Facility Data Recipe….

How to Detect Environmental Change using SAR Data in QGIS

Learn more about detecting environmental change in synthetic aperture radar data using QGIS with this Alaska Satellite Facility Data Recipe….

How to Geocode Sentinel-1 with QGIS 3.X

Learn more about geocoding Sentinel-1 synthetic aperture radar data using QGIS 3.X with this Alaska Satellite Facility Data Recipe….

How to Geocode Sentinel-1 with QGIS 2.18

Learn more about geocoding Sentinel-1 synthetic aperture radar data using QGIS 2.18 with this Alaska Satellite Facility Data Recipe….

How to View Radiometrically Terrain-Corrected (RTC) Images in QGIS

Learn more about viewing radiometrically terrain-corrected images using QGIS with this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using the ESA Toolbox

Learn more about radiometrically terrain-correcting Sentinel-1 data using ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using Sentinel-1 Toolbox Script

Learn more about radiometrically terrain-correcting Sentinel-1 data using ESA’s Sentinel-1 Toolbox script with this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using GAMMA Software

Learn more about radiometrically terrain-correcting Sentinel-1 data using GAMMA software with this Alaska Satellite Facility Data Recipe….

How to View Radiometrically Terrain-Corrected (RTC) Images in ArcGIS

Learn more about viewing radiometrically terrain-corrected images using ArcGIS with this Alaska Satellite Facility Data Recipe….

How to Automatically Generate a Radiometrically Terrain-Corrected (RTC) Sentinel-1 Image using Cloud Computing

Learn more about generating radiometrically terrain-corrected Sentinel-1 images using cloud computing in this Alaska Satellite Facility Data Recipe….

How to Automate a Radiometric Terrain Correction Process Chain Using a Sentinel-1 Toolbox Graph

Learn more about automating a radiometric terrain correction process chain using ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Phase Unwrap an Interferogram

Learn more about phase unwrapping interferograms using the European Space Agency’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create a DEM using Sentinel-1 Data

Learn more about creating DEMs using Sentinel-1 data and the optional ASF Baseline tool with this Alaska Satellite Facility Data Recipe….

Unwrapped Interferograms: Creating a Deformation Map

Learn how to convert the phase values in an unwrapped interferogram to vertical displacement units (meters) in this ASF data recipe….

How to Phase Unwrap an Interferogram

Learn more about phase unwrapping interferograms using the European Space Agency’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using the ESA Toolbox

Learn more about radiometrically terrain-correcting Sentinel-1 data using ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Radiometrically Terrain-Correct (RTC) Sentinel-1 Data Using Sentinel-1 Toolbox Script

Learn more about radiometrically terrain-correcting Sentinel-1 data using ESA’s Sentinel-1 Toolbox script with this Alaska Satellite Facility Data Recipe….

How to Generate a Subset from the Mosaic of Two Sentinel-1 Products in the Same Swath

Learn more about generating a subset from the mosaic of two Sentinel-1 products in the same swath using the Sentinel-1 Toolbox with this ASF Data Recipe….

How to Create an Interferogram Using ESA’s Sentinel-1 Toolbox

Learn more about creating interferograms using the European Space Agency’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create a Subset of a Sentinel-1 Product

Learn more about creating a subset of a Sentinel-1 product using the Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create an RGB Composite from Multi-Temporal Sentinel-1 Data

Learn more about creating an RGB composite using ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Generate a Mosaic of Two Sentinel-1 Products in Adjacent Paths

Learn more about generating a mosaic of two Sentinel-1 products in adjacent paths using the Sentinel-1 Toolbox with this ASF Data Recipe….

How to Create a DEM using Sentinel-1 Data

Learn more about creating DEMs using Sentinel-1 data and the optional ASF Baseline tool with this Alaska Satellite Facility Data Recipe….

How to Automate a Radiometric Terrain Correction Process Chain Using a Sentinel-1 Toolbox Graph

Learn more about automating a radiometric terrain correction process chain using ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Create Glacier Velocity Maps with Sentinel-1 Toolbox

Learn more about creating glacier velocity maps to estimate glacier motion using the Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

How to Map Regional Inundation with Sentinel-1 using Sentinel-1 Toolbox

Learn more about mapping regional inundation using Sentinel-1 data and ESA’s Sentinel-1 Toolbox with this Alaska Satellite Facility Data Recipe….

EULA

End User License Agreement (EULA)

Alaska Satellite Facility Data Access

 

ASF Terms of Service

ASF DAAC data products are available to data users registered with the NASA User Registration System (URS). Agreements between ASF and some data partners require limited restrictions on specific data collections and are defined here.

 

Terms of Service Contents

  • International Polar Year (IPY) Data Agreement
  • ALOS PALSAR Standard Product License
  • ALOS PALSAR RTC Product License
  • Sentinel-1 Data License
  • ERS-1 and ERS-2 Data License

 

International Polar Year (IPY) Datapool

The IPY Datapool is fully accessible to users agreeing to the IPY Data Agreement restrictions. By agreeing to the IPY TOC, you are agreeing to the terms which apply to the IPY Data Pool accessible through ASF, which are listed as Conditions here;

Condition 1 – I agree to use the Data for peaceful purposes only.

Condition 2 – I agree to use the Data for noncommercial use only. No commercial use is allowed of the data or any products derived from these data. I also understand that a value-added product derived from the data products received from ASF can only be freely distributed by me if it is in such a form that the original backscatter values cannot be derived from it.

Condition 3 – The data will not be reproduced or distributed to any other parties, except that they may be shared among named members of my research team (co-investigators). I will be responsible for compliance with this condition for the data I obtain from ASF. Furthermore, I am responsible for compliance to these agreement terms by members of my research team with whom I share these data.

 

ALOS PALSAR End User License Agreement

The Alaska Satellite Facility (ASF) grants the End User use of Advanced Land Observing Satellite (ALOS) PALSAR data if the End User accepts and agrees to the following ALOS PALSAR End User License Agreement. The End User will be deemed to have accepted and agreed to the terms and conditions if the End User starts using ALOS PALSAR data including but not limited to downloading, installing, manipulation or other action.

Section 1 Definitions

“End User” means the person, legal business entity, public entity or any other legal entity who obtains the Product and is considered to have accepted this End User License Agreement. In the case of a public entity, the End User is deemed to be only the part, division, etc. of the public entity located at the address to which the Product is supplied, unless otherwise agreed upon by ASF in writing and in advance.

Standard Product: Level 1 Data (CEOS format) PALSAR Level 1.0, 1.1, 1.5

Derivative Work Product: A processed product using the Standard Product which retains the original pixel structure and can be converted back to the original data or a processed product that does not retain the original pixel structure and cannot be converted back to the original data, with the exception of value-added products.

Value Added Product (VAP): A modified Standard or Derivative Work Product with high-level processing that cannot be converted back to the original product. The high-level processing includes data analysis or combining multiple-satellite data image processing based on external information, and physical quantity conversion.

“Product” means any ALOS satellite data product supplied by ASF. Product is classified as standard product, Derivative-work Product and Value Added Product (VAP). Definition of the three product types is shown below.

“JAXA” means the Japan Aerospace Exploration Agency.

“METI” means the Japanese Ministry of Economy, Trade, and Industry.

“Related Parties” means the parties that have been involved in the creation, production, distribution or delivery of the Product.

Section 2 Permitted Uses

The End User shall utilize the Product for peaceful purposes only.

The End User may redistribute the Product provided the data source is attributed to JAXA/METI.

Section 3 Prohibited Uses

The End User shall not use the Product other than for peaceful purposes.

The End User shall not delete, obscure, remove or alter any copyright notice that is contained in or appears on the Product.

Section 4 Intellectual Property Right and Copyright Notice

The End User confirms that JAXA and METI own all intellectual property rights, including copyrights, for ALOS PALSAR Standard and Derivative-work products.

The End User owns all intellectual property rights, including copyrights, which result from the End User’s act of interpretation, adaptation, authorship or any other work on the Standard Product resulting in the creation of a VAP. All VAP products must be accompanied with the copyright notice.

The End User agrees that any embodiment of the Product permitted under this agreement shall contain the following copyright notice. The copyright notice shall be prominently displayed and the [year] field correctly filled with a numerical value corresponding to the year of raw data acquisition.

Copyright Notice

Standard Product: Copyright JAXA, METI [year]

Derivative Work Product: Copyright JAXA, METI [year]

Value Added Product Includes Material: Copyright JAXA, METI [year]

Section 5 Limited Warranty Disclaimer

Neither ASF nor the Related Parties, if any, warrants that the Product is free of bugs, errors, defects or omissions.

The Product is provided as is with no warranty of merchantability or fitnessfor a particular purpose.

ASF and the Related Parties shall have no liability to the End User for any damage suffered by the End User or any third party, as a result of using ALOS PALSAR products. This damage is including but not limited to consequential loss and lost earnings.

Section 6 Modification of this Agreement

ASF reserves the right to modify this agreement if necessary and the modified agreement will govern. In the case of modification ASF will announce on ASF internet site.

Section 7 Governing Law and Jurisdiction

This End User License Agreement shall be governed by the laws of the United States of America.

 

ALOS PALSAR RTC Product License

The Alaska Satellite Facility (ASF) grants the End User use of Radiometrically Terrain Corrected (RTC) Advanced Land Observing Satellite (ALOS) PALSAR data if the End User accepts and agrees to the following ALOS PALSAR RTC End User License Agreement. The End User will be deemed to have accepted and agreed to the terms and conditions if the End User starts using ALOS PALSAR RTC data including but not limited to downloading, installing, manipulation or other action.

Section 1 Definitions

  1. “End User” means the person, legal business entity, public entity or any other legal entity who obtains the Product and is considered to have accepted this End User License Agreement. In the case of a public entity, the End User is deemed to be only the part, division, etc. of the public entity located at the address to which the Product is supplied, unless otherwise agreed upon by ASF in writing and in advance.

Value Added Product (VAP) – A modified Standard or Derivative Work Product with high-level processing that cannot be converted back to the original product. The high-level processing includes data analysis or combining multiple-satellite data, image processing based on external information, and physical quantity conversion.

  1. “Product” means any ALOS RTC satellite data product supplied by ASF. Product is classified as Value Added Product (VAP). Definition of the product types is shown below.
  2. “JAXA” means the Japan Aerospace Exploration Agency.
  3. “METI” means the Japanese Ministry of Economy, Trade, and Industry.
  4. “Related Parties” means the parties that have been involved in the creation, production, distribution or delivery of the Product.

Section 2 Permitted Uses

These data are provided in accordance with NASA’s free and open data policy. There are no restrictions on their use.

Section 3 Prohibited Uses

  1. The End User shall not delete, obscure, remove or alter any copyright notice that is contained in or appears on the Product.

Section 4 Intellectual Property Right and Copyright Notice

  1. The End user confirms that NASA retains the copyright to the ALOS PALSAR RTC products, and that JAXA/METI retain the copyright to the original data from which the Product was derived.
  2. The End User owns all intellectual property rights, including copyrights, which result from the End User’s act of interpretation, adaptation, authorship or any other work on the Product resulting in the creation of another VAP. All VAP products must be accompanied with the appropriate copyright notice.
  3. The End User agrees that any embodiment of the Product permitted under this agreement shall contain the following copyright notice. The copyright notice shall be prominently displayed and the [Year] field correctly filled with a numerical value corresponding to the year of raw data acquisition.

Copyright Notice for ALOS PALSAR RTC: © NASA [Year], Includes Material © JAXA, METI [Year]

Section 5 Limited Warranty – Disclaimer

  1. Neither ASF nor the Related Parties, if any, warrants that the Product is free of bugs, errors, defects or omissions.
  2. The Product is provided as is with no warranty of merchantability or fitness for a particular purpose.
  3. ASF and the Related Parties shall have no liability to the End User for any damage suffered by the End User or any third party, as a result of using ALOS PALSAR RTC products. This damage is including but not limited to consequential loss and lost earnings.

Section 6 Modification of this Agreement

ASF reserves the right to modify this agreement if necessary and the modified agreement will govern. In the case of modification ASF will announce on ASF internet site.

Section 7 Governing Law and Jurisdiction

This End User License Agreement shall be governed by the laws of the United States of America.

 

Sentinel-1 End User License Agreement

Legal notice on the use of Copernicus Sentinel Data and Service Information

The access and use of Copernicus Sentinel Data and Service Information is regulated under EU law.* In particular, the law provides that users shall have a free, full and open access to Copernicus Sentinel Data** and Service Information without any express or implied warranty, including as regards quality and suitability for any purpose.***

EU law grants free access to Copernicus Sentinel Data and Service Information for the purpose of the following use in so far as it is lawful****:

(a) reproduction;

(b) distribution;

(c) communication to the public;

(d) adaptation, modification and combination with other data and information;

(e) any combination of points (a) to (d).

EU law allows for specific limitations of access and use in the rare cases of security concerns, protection of third party rights or risk of service disruption.

By using Sentinel Data or Service Information the user acknowledges that these conditions are applicable to him/her and that the user renounces to any claims for damages against the European Union and the providers of the said Data and Information. The scope of this waiver encompasses any dispute, including contracts and torts claims, that might be filed in court, in arbitration or in any other form of dispute settlement.

Where the user communicates to the public or distributes Copernicus Sentinel Data and Service Information, he/she shall inform the recipients of the source of that Data and Information by using the following notice*****:

(1) ‘Copernicus Sentinel data [Year]’ for Sentinel data; and/or

(2) ‘Copernicus Service information [Year]’ for Copernicus Service Information.

Where the Copernicus Sentinel Data and Service Information have been adapted or modified, the user shall provide the following notice:

(1) ‘Contains modified Copernicus Sentinel data [Year]’ for Sentinel data; and/or

(2) ‘Contains modified Copernicus Service information [Year]’ for Copernicus

Service Information.

The users’ rights on their personal data are protected under European law******. Such data will only be used by the European Commission and the providers of the said Data and Information for providing services to the user and for statistical as well as evaluation purposes.

* Regulation (EU) No 377/2014 and Commission Delegated Regulation (EU) No 1159/2013.

** In agreement with the Copernicus Sentinel Data Policy, ESA/PB-EO(2013)30, rev. 1.

*** See in particular Art. 3 and 9 of Regulation 1159/2013.

**** See in particular Art. 7 of Regulation 1159/2013

***** See in particular Art. 8 of Regulation 1159/2013.

****** Directive 95/46/EC of the European Parliament and of the Council of24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data; Regulation (EC) No 45/2001 (EC) No 45/2001 of the European Parliament and of the Council of 18 December 2000 on the protection of individuals with regard to the processing of personal data by the Community institutions and bodies and on the free movement of such data.

 

ESA ERS-1 and ERS-2 End User License Agreement

Data provided by the ERS-1 and ERS-2 missions are available in an open and non-discriminatory way, and distribution of the data shall be consistent with United Nations Resolution A/RES/41/65 dated 3 December 1986 on Principles Relating to Remote Sensing of the Earth from Space.

ESA does not guarantee the suitability of ERS-1 or ERS-2 data for the purpose of a project and shall not be held liable for any damage derived from the use of such data by the user.

The acceptance of these Terms and Conditions will authorize full access using Vertex to the ERS-1 and ERS-2 datasets at ASF DAAC.

I acknowledge and agree to respect the full title and ownership by ESA of all ERS-1 and ERS-2 data.

I agree to clearly mark all ERS-1 and ERS-2 data, irrespective of the form in which it is reproduced, in such a way that the data credit or image copyright are clear to see.

Data: Dataset: ERS-2[1], ESA [year of data acquisition]. Downloaded from ASF DAAC [day/month/year of data access]

Images: © ESA [year of data acquisition]

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SAR Scientist Highlights Archive

April 2021

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APR 2021 -- Rod Boyce

Josef Kellndorfer, PhD

Josef Kellndorfer heartily remembers receiving computer hard drives in the mail containing the data he needed for his research in the 1990s.

Those hard drives came from the Alaska Satellite Facility (ASF), traveling the roughly 4,400 miles to Massachusetts, where he worked at the Woods Hole Research Center, now known as the Woodwell Climate Research Center. Today he is a distinguished visiting scientist at the center but maintaining a strong connection to the satellite facility.

Things have changed mightily since those hard-drive days. He now gets the data he needs from the ASF by tapping on his computer keyboard.

He has been an integral player over his years of official and unofficial connection to the ASF Distributed Active Archive Center (DAAC), which is funded by NASA and part of the University of Alaska Fairbanks Geophysical Institute. And it has shown in the sharp increase in the number of researchers acquiring the data. They tap in from around the globe.

Josef is among the people who they can thank for that.

January 2021

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JAN 2021 - LJ Evans

Paul Rosen, PhD

Dr. Paul Rosen is Project Scientist for the NASA-ISRO SAR (NISAR) mission. NISAR will measure Earth’s changing ecosystems, dynamic land surfaces, and ice masses, providing critical measurements for carbon cycle modeling, natural hazards research, sea level rise, groundwater exploitation, and more. With its all-weather, day/night, multi-frequency, polarimetric capability, NISAR will also support a host of other applications.

Dr. Rosen is applying 35 years of experience in Earth and planetary radar remote sensing to guiding NISAR science and the potential benefits and impact of these data in the science and applications community. This entails interacting with scientists, engineers, managers, and the public, at all levels and in many capacities. He expects NISAR to have a major impact on how science and applications are developed using synthetic aperture radar (SAR) data, noting that NISAR will provide the world with an unprecedented source of data, processing tools, and educational materials. NASA’s Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC) will take a leading role in NISAR data distribution and education.

August 2020

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AUG 2020 - Fritz Freudenberger

Bernd Scheuchl, PhD

Bernd Scheuchl brings more than 25 years of experience using synthetic aperture radar remote sensing data in both industry and academia to his role as the chair of ASF’s User Working Group. As leader of the advisory board, he helps shape ASF’s role as a NASA Distributed Active Archive Center, ensuring the data are accessible for all users. Scheuchl works to coordinate ASF’s support of the upcoming NASA/ISRO SAR mission (NISAR) through development of new SAR techniques and transformative technology. As a researcher, his team’s work is at the forefront of using SAR data to study Antarctica, including producing its first continent-wide ice velocity map.

February 2020

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FEB 2020 - Nettie La Belle-Hamer

Dr. Nettie La Belle-Hamer

As Director of ASF, Dr. Nettie La Belle-Hamer’s mission is to support and mentor her team of driven professionals as leaders in remote sensing and data accessibility. She applies her research background in space physics to guide the facility as it provides high-quality data to meet the evolving needs of its users. Dr. La Belle-Hamer has been a part of ASF for 19 years and was appointed Director in 2002. She is also Deputy Director of the Geophysical Institute, where she works to develop and expand the capabilities of both organizations.

October 2019

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OCT 2019 - Fritz Freudenberger

Franz Meyer, PhD

As ASF Chief Scientist, Franz J. Meyer leverages almost two decades of remote sensing research experience to act as the interface between ASF and the scientific community. 

Meyer has spent his career working with space agencies around the world to develop processing techniques and methods for synthetic aperture radar, or SAR, data. These techniques have been used to explore signals related to surface deformation such as earthquakes and volcanic eruptions. Recently, his research has expanded into the development of remote sensing-based hazard monitoring. He has led trainings around the world to help governments and organizations increase their capacity for radar techniques and hopes to transform SAR into a tool to meaningfully influence people’s lives on a daily basis.

Read more about Franz and his data chat on Earthdata

Hurricane Dorian Story Map

Screenshot of an image captured by Sentinel-1B of Hurricane Dorian off the north coasts of Puerto Rico and the Dominican Republic. Taken on August 29, 2019. Image credits: ASF DAAC 2019 using GAMMA software. Contains modified Copernicus Sentinel data 2019, processed by ESA.

The Hurricane Dorian Story map was created to present the images captured by the ESA Sentinel satellites in a compact way.

The story map shows off 5 images taken by the satellites along with information on the granules processed by ASF. The map also displays all of the images on the map on the final page.