RStoolbox
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Remote Sensing Data Analysis in R 🛰
Feature request: Wallis filter for local contrast enhancement Example: http://www.mdpi.com/2072-4292/8/3/178/htm
Feature request: full unmixing workflow Relevant for `sam()` and `mesma()`
a command for linear regression of x~y1+y2+... raster would be handy and optional output of residuals (maybe optional with piecewise regressions, robust linear regressions etc.). To ease this code snippet:...
memory consumption can be too high due to single layer processing. Todo: * add manual canProcessInMemory checks for sum of all output layers. * add ellipsis filename support
Resources: * An illumination correction algorithm on Landsat-TM data http://ieeexplore.ieee.org/document/5653492/ * http://www.arcgis.com/home/item.html?id=fceca6e14fcc4d25953958a52f3eba5b * "Improved forest change detection with terrain illumination corrected Landsat images" https://www.sciencedirect.com/science/article/pii/S0034425713001673?via%3Dihub#f0025
I am trying to run `superClass` with a raster stack having both numeric and categorical layers. But it returns me the following error: >Error: variable 'Class' was fitted with type...
This PR adds a new Github Action which runs RcppDeepState+valgrind on your package. That means the C++ functions of your package will be tested with random inputs, and there will...
The CRAN errors and my reverse dependency checks indicate that `lsat.rda` and `trainingPolygons.rds` have stale CRS, should be `EPSG:32622`. before correction: [00check.log](https://github.com/bleutner/RStoolbox/files/10216404/00check.log) [testthat.Rout.zip](https://github.com/bleutner/RStoolbox/files/10216407/testthat.Rout.zip) After correction - see PR: [00check.log](https://github.com/bleutner/RStoolbox/files/10216410/00check.log)
Hello, I am trying to do some atmospheric corrections on Landsat 8 data in Rstudio. I have already installed RStoolbox the problem occurs when reading the MTL m_data