Dear STARS friends,

In the March edition of our newsletter, we announced upcoming STARS-related work by a number of MSc students. It is with great pleasure that we can now share with you the research results of four MSc students from Wageningen University and University of Twente, Faculty of ITC. The students address diverse topics in their theses such as weed detection, crop yield, crop recognition, boundary delineation and crop row detection.

This special spring edition of the STARS newsletter is dedicated to the work of our students. Each story contains a link that provides direct access to the full-text version of the thesis. 


As always, do remember to stay up to date with what is happening around STARS by visiting the news section of our website, and by following us on Facebook and Twitter. But first, do enjoy reading this special spring 2016 edition!


The STARS team

 
Remote sensing and crop recognition: Improving the information system supporting smallholders in Mali

Remote sensing and crop recognition: Improving the information system supporting smallholders in Mali

Wilmar van Ommeren

In his research project, Wilmar tested the influence of different classification methods, vegetation indices, strata and spatial/temporal resolutions on crop recognition in smallholder fields in Mali, using remote sensing techniques.

read more...
Multiple Endmember Spectral Mixture Analysis (MESMA) on multi-temporal VHR images for weed detection in smallholder farms

Multiple Endmember Spectral Mixture Analysis (MESMA) on multi-temporal VHR images for weed detection in smallholder farms

Grace Njenga

A sub-pixel analysis of multi-spectral high-resolution satellite imagery for weed detection and monitoring in smallholder farms.

read more...
Automated farm field delineation and crop row detection from satellite images

Automated farm field delineation and crop row detection from satellite images

Melkamu Meseret Alemu

Melkamu has tested in his study the capability of the Line Segment Detection (LSD) algorithm for field boundary delineation and crop row detection combining all available information present in different bands as a single band before applying the LSD algorithm.

read more...
Mapping in-field spatial maize yield variability in Tanzania using very fine spatial resolution imagery

Mapping in-field spatial maize yield variability in Tanzania using very fine spatial resolution imagery

Steve Kibet

Steve's aim was to determine the extent to which very fine spatial resolution remote sensing imagery from Unmanned Aerial Vehicles (UAVs) and satellites can be used to assess field-level maize yield variability.

read more...
 
 

Agenda

STARS appearances

  • 9-13 May 2016: STARS presentation at the fifth Living Planet Symposium (LPS) organized by the European Space Agency in Prague.
 
 
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