Importing GLCF MODIS woody plant cover

The data set

The Global Land Cover Facility offers, amongst many other data sets, the MODIS Vegetation Continuous Fields data set for download. These are layers that contain proportional estimates for vegetative cover types (woody vegetation, herbaceous vegetation, and bare ground). As such they are very suitable depict areas of heterogeneous land cover.

Their MODIS products differ from DAAC editions by coming in GeoTIFF format, geographic coordinates, WGS84 datum, and a tiling system designed to fit well with Landsat imagery. Currently the collection 5 is available, which contains proportional estimates for woody cover vegetation for the years 2000 to 2010. It can be downloaded as tiles (195 in total) via a ftp server.

Below I’ll provide an example Continue reading Importing GLCF MODIS woody plant cover

Importing data in GRASS GIS – an example

Introduction

ISRIC, Earth Institute, Columbia University, World Agroforestry Centre (ICRAF) and the International Center for Tropical Agriculture (CIAT) have recently released a new data set of raster layers with various predicted soil properties. This data set is referred to as the “AfSoilGrids250m” data set. It supersedes the SoilGrids1km data set and comes at a resolution of 250 meter. The AfSoilGrids250m data (GeoTIFFs) are available for download under the Attribution 4.0 International (CC BY 4.0) license. See this page for download information.

In this post I’ll show you how you can import this data set in a GRASS GIS database. Continue reading Importing data in GRASS GIS – an example

GRASS GIS 7.0 is out!

It has taken many years of development, but finally the new stable major release GRASS GIS 7.0.0 is available. Many congratulations to the developers, they did an incredible job. This version provides numerous new functionalities, including completely new modules (e.g., the spatio-temporal database support) and massive improvements in data handling, with support for massive vector layers and speed improvements.

Check out the press release and the list of new features. But most of all, make sure you download the new version, if you have not done so already, and start enjoying a whole new experience.

GRASS GIS 7.0 RC2 ready for testing

The second release candidate of the upcoming stable GRASS GIS 7.0.0 version has been released. You can read the announcement here (including the download links) or the more detailed news about the release candidate here.

If you are still using GRASS 6.4, this long list of new features and improvements implemented in GRASS GIS 7 will give you plenty of reasons why you should try out the latest and greatest.

Update of r.forestfrag addon for GRASS GIS 7.0

Riitters et al. (2000) proposed a quick approach to measure the degree of forest fragmentation that could be relatively easily implemented and which only required a map with forest and non-forest. Following their approach, Sylla consult created a shell script for GRASS GIS 6.4 to create a raster layer with six categories (non-forest, patch, transitional, edge, perforated, interior and undetermined) as a measure of forest fragmentation. See their blog post with an explanation how the script works or the above-cited article for a more in-depth description.

I adapted the script to make it work on GRASS 7.0, including some further improvements, such as the option to select the size of the moving window, the option to trim the output layer to avoid the edge effect that comes with moving-window calculations and the option to keep intermediate layers.

I have now rewritten the script as a Python addon. See here for the manual page. Continue reading Update of r.forestfrag addon for GRASS GIS 7.0

GRASS GIS 7.0.0 Release Candidate 1

The release candidate of GRASS GIS 7.0 has been released, with too many improvements and new features to summarize here. Go to http://trac.osgeo.org/grass/wiki/Release/7.0.0RC1-News and check out the details!

Kudos to the developers and for the users out there that are still using GRASS GIS 6.4… this is really a good time to switch to the latest and greatest!

Update of r.mess to work in GRASS 7

A while back I wrote a GRASS GIS addon to calculate the Multivariate Environmental Similarity index (MES; see below for a short description). The addon was written as a shell script and R script and only runs on GRASS GIS 6.

I finally got around rewriting the addon in Python. This should make it easier to install (using the g.extension function) and it does not depend on R any more. You can install the addon from the g.extension menu or you can go here. Continue reading Update of r.mess to work in GRASS 7