Advances in Remote Sensing
Vol.3 No.1(2014), Paper ID 43896, 16
pages
DOI:10.4236/ars.2014.31004
Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets
David N. Kuria, Gunter Menz, Salome Misana, Emiliana Mwita, Hans-Peter Thamm, Miguel Alvarez, Neema Mogha, Mathias Becker, Helida Oyieke
Institute of Geomatics, GIS & Remote Sensing, Dedan Kimathi University of Technology, Nyeri, Kenya
Department of Geography, University of Bonn, Meckenheimer Allee, Bonn, Germany
Department of Geography, University of Dar es Salaam, Dar es Salaam, Tanzania
Department of Geography, Dar es Salaam University College of Technology, Dar es Salaam, Tanzania
Department of Geography, Free University Berlin, Malteserstr, Germany
Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg, Germany
Department of Geography, Dar es Salaam University College of Technology, Dar es Salaam, Tanzania
Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg, Germany
National Museums of Kenya, Nairobi, Kenya
Copyright © 2014 David N. Kuria, Gunter Menz, Salome Misana, Emiliana Mwita, Hans-Peter Thamm, Miguel Alvarez, Neema Mogha, Mathias Becker, Helida Oyieke et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Kuria, D. , Menz, G. , Misana, S. , Mwita, E. , Thamm, H. , Alvarez, M. , Mogha, N. , Becker, M. and Oyieke, H. (2014) Seasonal Vegetation Changes in the Malinda Wetland Using Bi-Temporal, Multi-Sensor, Very High Resolution Remote Sensing Data Sets.
Advances in Remote Sensing,
3, 33-48. doi:
10.4236/ars.2014.31004.