We are glad to report that MODIStsp is now also available on CRAN ! From now on, you can therefore install it by simply using:
In v 1.3.2 we also added the functionality to automatically apply scale and offset coefficients on MODIS original values according with the specifications of single MODIS products. Setting the new “Scale output values” option to “Yes”, scale factors and offsets are applied (if existing).
MODIStsp is a R package allowing automatic download and preprocessing of MODIS Land Products time series, available at this https://github.com/ropensci/MODIStsp github page (See also here for additional information)
v1.3.1 adds functionality for processing MODIS snow cover products, accelerated download, processing specified portions of years, plus various bug fixing and improvements.
MODIStsp: the main processing GUI
See here for a detailed description of introduced changes
We hope you will find the new version useful and that we didn’t introduce too many bugs !
MODIStsp v1.3.0 has been finally released !
It adds the much-needed functionality for downloading and preprocessing MODIS Collection 006 datasets. Off-line preprocessing of already downloaded hdf images was also improved, and the GUI was a bit revamped to improve user-friendliness (A detailed changelog can be found here).
More detailed usage instructions were also added to the main github page, and a FAQ section addressing common issues with the package (e.g., installation problems, etc) was added.
In this post, we are introducing MODIStsp a new “R” package allowing to automatize the creation of time series of rasters derived from Land Products data derived from MODIS satellite data (; www.sciencedirect.com/science/article/pii/S0098300416303107).
Development of MODIStsp started from modifications of the ModisDownload “R” script by Thomas Hengl (spatial-analyst.net/wiki/index.php?title=Download_and_resampling_of_MODIS_images), and successive adaptations by Babak Naimi (r-gis.net/?q=ModisDownload). Their functionalities were gradually incremented with the aim of:
Developing a standalone application allowing to perform several preprocessing steps (e.
I’ll use this blog to share posts mostly related to tips and tricks about
Spatial Processing and satellite image analysis in “R”, as well as to share
interesting resources concerning “R” programming in general.