The Section on Research and Analysis at Geoinformatic Applications is a multidisciplinary unit specializing in the application of geospatial science and technology and providing innovative solutions to diverse issues. Currently the Section utilizes ArcGIS 9.3, ERDAS Image 9.1, ENVI 4.7, IDRISI Andes, ER Mapper 7.1, R 2.10.1, Maxent 3.3.2, ILWIS 3.6, DIVA-GIS, SAGA.
The Section is open to collaborative research offers. Please send all proposals to info[at]geoinformatic[dot]org.
New projects:
- Analyzing the movement of refugees in Somalia through the analysis of conflict zones and biophysical factors
Research Team: Collaboration Open [email: info[at]geoinformatic[dot]org] [Temporarily on hold]
- Topographic analysis of flood-prone areas in northern Somalia using ASTER GDEM
Research Team: Collaboration Open [email: info[at]geoinformatic[dot]org] [Temporarily on hold]
Ongoing projects:
- Is there a relationship between land surface temperature and bird distribution?
Research Team: Hakim M. Abdi [Temporarily on hold]
Completed projects:
- Combining open-source geospatial software and open-access data to map the habitat association of the declining corn bunting in an agricultural landscape
Researcher: Hakim M. Abdi (IFGI)
Publication: Submitted to Biodiversity Informatics [In Review]
- An assessment of rapid development in Dubai (UAE) between 1999 and 2008 using spectral information divergence and Landsat imagery
Research Team: Hakim M. Abdi (IFGI), Vanessa Joy Anacta (IFGI), Paulo Guilherme Molin (ISEGI), Ashwin Dhakal (ISEGI)
Publication: Submitted to Journal of Applied Remote Sensing – Special Section on Remote Sensing for Coupled Natural Systems and Built Environments [In Review]
Abstract
- Abu Dhabi Island: analysis of development and vegetation change using remote sensing (1972-2000)
Research Team: Hakim M. Abdi (ISEGI), Anand R. Nandipati (ISEGI)
Publication: Advances in Earth Observation of Global Change [Chapter 4]. Berlin: Springer-Verlag.
Chapter Abstract
IFGI: Institute for Geoinformatics, University of Münster, Germany
ISEGI: Higher Institute of Statistics and Information Management, New University of Lisbon, Portugal
This page is continuously updated, please check back at a later time for more detailed information about the projects.
