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HomeData Recipes

Posts in category: Data Recipes

A sample color phase product for the F1 swath, Copernicus Sentinel data 2015 Contains modified Copernicus Sentinel data 2016, processed by ESA.

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….

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Script output images: color phase products for each swath F1, F2, F3. Contains modified Copernicus Sentinel data (2015) processed by ESA.

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….

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A portion of the Alaska Range in Denali National Park in (A) RTC Gamma0 Image, (B) Amplitude Image, (C) dB Power Image. Credit: ASF DAAC 2016; Includes Material © JAXA/METI 2006.

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….

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Detail of the Blue Ridge Mountains in the recipe's sample granule. © JAXA/METI 2008.

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….

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Before and after: Before radiometric terrain correction (RTC), Klamath Mountains in northern California appear stretched on one side and compressed on the other (left). RTC (right) moves pixels to unstretch the mountains and adjusts pixel values to subtract the effect of slopes on brightness. Left: © JAXA/METI 2008; right: ASF DAAC 2016; Includes Material © JAXA/METI 2008.

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….

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Before and after RTC: In this detail from the test granule below, mountains in Bolivia (left) appear stretched on one side and compressed on the other. RTC (right) moves pixels to unstretch the mountains and adjusts pixel values to subtract the effect of slopes on brightness. Credit left: Copernicus Sentinel data 2015. Credit right: ASF DAAC 2016, contains modified Copernicus Sentinel data 2015, processed by ESA.

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….

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Before and after RTC: In this detail from the test granule below, mountains in Bolivia (left) appear stretched on one side and compressed on the other. RTC (right) moves pixels to unstretch the mountains and adjusts pixel values to subtract the effect of slopes on brightness. Credit left: Copernicus Sentinel data 2015. Credit right: ASF DAAC 2016, contains modified Copernicus Sentinel data 2015, processed by ESA.

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….

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Before and after RTC: In this detail from the test granule, mountains spanning the Peru-Bolivia border appear stretched on one side and compressed on the other (left). RTC (right) moves pixels to unstretch the mountains and adjusts pixel values to subtract the effect of slopes on brightness. Credit left: Copernicus Sentinel data 2015. Credit right: ASF DAAC 2016, contains modified Copernicus Sentinel data 2015, processed by ESA.

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….

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Animation of inundation in Amazon rain forest. Credit: Chapman, Guritz 2016; RTC: ASF 2015; Includes Material © JAXA/METI 2007.

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….

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Product outlines in gray shown on ASF’s Vertex data portal.

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….

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The Alaska Satellite Facility downlinks, processes, archives, and distributes remote-sensing data to scientific users around the world. ASF’s mission is to make remote-sensing data accessible.

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