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

Online data sources: the global width database for large rivers

I came across this interesting data source, and though I might as well share it.

Description: A global database of the the width of the large rivers (GWD-LR). The river width is derived from “satellite-based water masks and flow direction maps … by applying the algorithm to the SRTM Water Body Database (WBD) and the HydroSHEDS flow direction map. Both bank-to-bank river width and effective river width excluding islands are calculated for river channels between 60S and 60N”. The results are evaluated against the existing data on the river width of the Congo and Mississippi Rivers.  Continue reading

Online data sources: Harvest choice

One example of of spatial data on the web every week… this week Harvest choice

Harvest Choice

Description: Harvest Choice is a collaboration between various partners that aim to build decision support databases, analytical tools, and knowledge delivery mechanisms to promote evidence-based decisions regarding agricultural investment and intervention options. It does this by providing information on a list of crop and livestock commodities. Continue reading

Online data sources: the Atlas of African Agriculture Research & Development

Data source of the week

There is a wealth of information on e.g., land use, climate and species available online. But you need to know where to look. My plan is to highlight one example every week (let’s see if I can keep up with that). You’ll find more examples on data.ecodiv.org.

Atlas of African Agriculture Research & Development

Description: The e-atlas is a repository of data useful for agriculture research and development in Africa. It provides online, open-access to spatial data and tools that is generated and maintained by a community of research scientists, development analysts, and practitioners working in and for Africa. The e-Atlas highlights the ubiquitous nature of smallholder agriculture in Africa and provides data needed to describe the many factors shaping the location, nature, and performance of agricultural enterprises and the strong interdependencies among farming, natural resource stocks and flows, rural infrastructure, and the well-being of the poor. Continue reading

What if Google decides to discontinue Google Scholar?

Since Google discontinued Google reader I have always been wondering; what if they decide to stop with Google Scholar? If you are lucky enough to have access to an university library, you should be fine. But there are also a number of freely available alternatives. Just checking my bookmarks gave me gave me the list below. None of these tools have been able to convince me to abandon Google Scholar (to be completely fair, I haven’t tried them all out extensively), but at least if Google decides to kill of Scholar, I have somewhere else to go: Continue reading