0.3.1-beta

This version fixes a problem that was occurring in the "make_usearea_file_bsq" function where indexing of a matrix was not coded correctly. Also, topographic layer preparation for the MSS cloud masking procedure was moved to its own function (prepare_topo) and a potential problem with defining the source projection for topographic files was fixed.

0.3.0-beta

This version includes a new function (llr_time_machine) that will produce spectral chronology visualization data to be read by the LLR-TimeMachine application.

0.2.14-beta

This version fixes (hopefully) a bug that occurs in the "trim_na_rowcol" function called from the "mssunpackr" function. It removes rows and columns from MSS image edges that are all NA values. It reduces file size and processing time. If any edge (row or column) did not have all NA values, it would not produce the image file. A small test worked - more testing needed to verify.

0.2.13-beta

This version does not delete MSS L1G tar.gz files. Instead, it moves them to a separate folder. It still does not process them.

0.2.12-beta

In msswarp function, changed rmse level at which to run function from 0.75 to 0.5.

0.2.11-beta

This version fixes an error in the "mixel" annual compositing function where if only compositing a single sensor's data it would not create an output directory and crash when trying to write to it. This update also allows for more options in the mosaicking method. Previously only the mean of overlapping annual pixel was calculated, now you can select: mean, median, min, or max. It also now creates a .bsq (ENVI format) copy the use-area file so it can be used in the LandTrendr change detection algorithm.

0.2.10-beta

Fixes an error printing problem that occurs when the DEM is too small.

0.2.9-beta

Corrections to the MSSwarp function and changed the warping polynomial order from 1 to 2.

0.2.8-beta

This update fixes a mistake in the msswarp function. This function tries to improve the georegistration accuracy of Landsat MSS images that have a scene average positional RMSE >= 0.75. This is the case for usually only a few images per scene. Previously the wrong row and column were identified for tie points in the image being fixed. The effect is minimal - it has probably not been improving the RMSE, but also not making it much worse than it was.

0.2.7-beta

This version update affects MSS to TM and OLI to ETM+ spectral calibration. During this process coincident (MSS to TM) and near-coincident (OLI to ETM+) image pairs are used to develop a linear model to predict spectral indices. Samples from multiple pairs are used to develop the model. We have noticed that some single image pair models have low correlation. These pairs (r < 0.8) are now removed from the aggregated model. This improves the fit of the final model applied to all MSS and OLI images. The reason for low correlation between some image pairs is due to high cloud cover, which can reduce the diversity and range of values in the model, bad cloud masks, and radiometric scan issues (some MSS images).