Another stab at creating a Tanaka-style contour map

In a recent post Anita Graser (aka underdark) showed how to create illuminated or Tanaka contours in QGIS using various functions available in the toolbox and some custom functions.

Here I want to explore a slightly different way to achieve the same, using GRASS GIS to compute the azimuth, brightness and line width. I’ll use the command line, but you can do the same using the menu in GRASS, or the corresponding GRASS functions in the QGIS processing toolbox.

Continue reading

GRASS 7.0 is out, but the development continues unabated

Just a thumbs-up for the developers of GRASS GIS, who evidently do not rest on their laurels since their release of GRASS GIS 7.0. Below one of those more visible new features in the GRASS GIS development version which make live just that much easier.

nice new feature

A really welcome addition to the drop-down menu for selection of raster or vector layers. It now shows the open maps under a separate header.

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 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

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

GRASS GIS 7.0 beta 4 released

The 4th beta release of GRASS GIS 7.0 is available for download. This is the last step before the planned release candidate (RC1), so a very good time to take it for a test run.

The most important changes in beta 4 are a major effort to standardize all parameter and flag names. This will bring a better and more consistent user experience. For more details and the download links, to to http://trac.osgeo.org/grass/wiki/Release/7.0.0beta-News