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Utah State University has an excellent class with online resources titled Geoprocessing with Python using Open Source GIS. You will find tutorials on common RS methods such as digital image processing using edge detection algorithms and calculating NDVI from ASTER imagery. Additionally, there is a downloadable zipfile with presentation, scripts, and data. ...


Form the (i)python basis to the more complex manipulation: Dr M. Disney - Introduction to image data handling These two blog have many examples: Luca Congedo - From GIS to Remote Sensing REMOTESENSING.IO Things became more interesting with more spectral bands: http://www.spectralpython.net/ Another book about this topic: Image Analysis, ...


In Opticks you could have multi-image views and add a geographic link to all windows:


Just do right click on the image and then select Properties: If all the Display bands indicate the same band number the image will display in grayscale, so you can change it to the band combination you need. You can get more information about Opticks in this site: http://www.jenningsplanet.com/Training-and-Tutorials.87.0.html


Since Landsat satellites are not placed a true polar orbit -- they are in a "near polar" orbit -- their heading (azimuth) is never zero. See NASA's Landsat Handbook and Landsat Science. It is closest to zero at the equator (8.2°) but deviates from this the closer it gets to the poles. Thus, yes, knowing the center coordinates (latitude, actually) of the ...


You might want to checkout the MapBox Satellite layer. It's available under their Basic Plan, which is $5 a month. I believe the layer is distributed as TMS tiles, and you can review the granularity and coverage of the layer before you commit to anything. Admittedly, though, this would be more difficult to apply to your use case, but surely not impossible, ...


The Copernicus project of ESA is supposed to be freely downloadable, when it's running...


Manually using a stereoscope with a high enough resolution image, it is possible to estimate stand height. Although Landsat has a 30meter resolution and is too crude to estimate tree height. (LIDAR data would be necessary if your set on using Landsat) Depending upon the species your trying to measure NAIP imagery may be a better option, with a 1 meter ...


It seems you are encountering this bug and the proposed workaround is to work in WGS84. for using OTB, a workaround is to install the stand alone Monteverdi software (directly based on OTB), also available from OSGEO4W. Using the task specific OTB applications could also be more "robust". (see the cookbook for more details)


Under Processing -> Options and Configuration, Data Providers, take a look at the SAGA entry. Sometimes, the entries for the folder of the application is empty. For Orfeo Toolbox, the message is different, so QGIS has found the application, but the output file is not generated. You have to take a closer look at the log OTB produces.


You cannot do this in any reliable fashion. The reason is that every MODIS product (like LST) is created from a number of observations (basically, the MOD01 radiance product) and you do not know how that is done. The MOD11A2/MYD11A2 products do not give you the number of observations that go into each product, nor the extremes. But if you really want to do ...

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