How to correct Scanline Error/Banding in Landsat 7 images

If you want to correct for banding in Landsat 7 images, the USGS has a system for correcting Landsat 7 satellite images. Although there are several methods based on interpolation, you can resort to a simple tool with the help of the Landsat Toolbox for ArcGIS.

If Landsat 7 images are recognizable for something, it is because of their satellite image banding problems, generating gaps or lines of absence of information with a slight inclination towards the sides while the central area is displayed correctly. An error that generates missing data by displaying the image through banding of stripes or lines parallel to each other. Something that, even though it is typical of Landsat 7, also occurs in some images from other space missions due to radiometric errors and that can be corrected in a similar way.


Landsat Toolbox developed by the Washington State Department of Transportation (WSDOT). 
Within this simple toolbox you will find several applications and the option Fix Landsat 7 Scanline Error. A simple tool that will allow you to identify the banding of lines to interpolate values ​​and correct the original band. Although the tool is intended for Landsat, it is also possible to correct gaps and line breaks in the bands of other space missions such as Sentinel 2, Sentinel 3 or MODIS when you encounter a similar radiometric error.



You can download the Landsat Toolbox for Landsat 7 image correction from here . You can incorporate the tool into ArcGIS Pro or ArcMap by right-clicking on ArcToolBox and selecting the Add Toolbox option from where you should search for the TBX file.




Once you have loaded the tool, you can execute the Fix Landsat 7 Scanline Errors option, incorporating the band to be corrected and assigning a name and output route to save the corrected band. Give time to processing, it will take a few minutes to process the data.



Enjoy 🙂

All the best!!!
follow us on instagram: @ish_putra

Comments

Post a Comment

Popular posts from this blog

Maxent tool for ArcGIS Pro in species modeling

Image
The Maxent tool for ArcGIS Pro is now available starting with versions 2.9.  The mythical species distribution modeling tool already has a clone within the ArcGIS Pro geoprocessing tools, and you will not need to complicate the adaptation of variables and coordinates that Maxent originally requires.  From your coordinates and variables, whatever your starting conditions, you can carry out the modeling of species. From the analysis tools you can access the  Presence-only Prediction (Maxent) tool,  an emulation of the original tool within the ArcGIS Pro environment that does not require the addition of auxiliary toolboxes or direct gateways to the .JAR executable. The tool presents the same parameterization as Maxent, having to incorporate the raster environmental variables and the distribution coordinates.  What is interesting about the tool?  That you will not need  to adapt the data to Maxent's requirements by  managing pixel sizes, generating CS...
Read more

Hillshade, slope maps, DEMs and 3D orthophotos

Image
When one is a beginner and gets into the world of the exploitation of Digital Terrain Models, or DTM, the first doubts and confusions assail about what is a slope map, a shadow map, a Digital Elevation Model and an image visualized in 3D.  Do we see the differences between them to understand each other? Digital  elevation  models,  or DEMs, allow altitude values ​​to be represented by pixels (when we are using GRID files).  Each pixel shows an altitude value, and, with the help of cartographic software, we can visualize the complete model in 3D noting the morphology of the terrain.  Once we represent the model in a three-  dimensional environment   we will be able to visualize the geography noting the slopes, valleys, valleys, mountains or any geographical feature of the territory thanks to the sensation of depth.  These models only represent altitude values, concepts such as depth, slope orientation or shadows are determined by the position ...
Read more