Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 401-406, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W2-401-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
16 Aug 2013
THE USE OF UAS FOR ASSESSING AGRICULTURAL SYSTEMS IN AN WETLAND IN TANZANIA IN THE DRY- AND WET-SEASON FOR SUSTAINABLE AGRICULTURE AND PROVIDING GROUND TRUTH FOR TERRA-SAR X DATA
H.-P. Thamm1, G. Menz2, M. Becker3, D. N. Kuria4, S. Misana5, and D. Kohn2 1Geo-Technic, Neustr. 40, 53545 Linz am Rhein, Germany
2Remote Sensing Research Group, Rheinische Friedrich-Willhelms-University, Meckenheimer Str. 166, 53115 Bonn, Germany
3INRES – Institut für Nutzpflanzenwissenschaften und Ressourcenschutz, Bereich Pflanzenernährung, Rheinische Friedrich-Willhelms-Universität, Karlrobert-Kreiten-Strasse 13, 53115 Bonn, Germany
4Geomatic Engineering and Geospatial Information Science Department, Institute of Geomatics, GIS & Remote Sensing (IGGReS), Kimathi University College of Technology, Kenya
5Department of Geography, University of Dar es Salaam, Tanzania
Keywords: UAS, Land use/land cover assessment, Monitoring farming Systems, Ground Truth, DEM derivation, Landmanagement Abstract. The paper describes the assessment of the vegetation and the land use systems of the Malinda Wetland in the Usambara Mountains in Tanzania with the parachute UAS (unmanned aerial system) SUSI 62. The area of investigation was around 8 km2. In two campaigns, one in the wet season and one in the dry season, approximately 2600 aerial photos of the wetland were taken using the parachute UAS SUSI 62; of these images, ortho-photos with a spatial resolution of 20 cm x 20 cm, were computed with an advanced block bundle approach. The block bundles were geo-referenced using control points taken with differential GPS. As well a digital surface model (DSM) of the wetland was created out of the UAS photos. Using the ortho-photos it is possible to assess the different land use systems; the differences in the phenology of the vegetation between wet and dry season can be investigated. In addition, the regionalisation of bio mass samples on smaller test plots was possible. The ortho-photos and the DSM derived from the UAS proved to be a valuable ground truth for the interpretation of Terra-SAR X images. The campaigns demonstrated that SUSI 62 was a suitable, robust tool to obtain the valuable information under harsh conditions.
Conference paper (PDF, 3893 KB)


Citation: Thamm, H.-P., Menz, G., Becker, M., Kuria, D. N., Misana, S., and Kohn, D.: THE USE OF UAS FOR ASSESSING AGRICULTURAL SYSTEMS IN AN WETLAND IN TANZANIA IN THE DRY- AND WET-SEASON FOR SUSTAINABLE AGRICULTURE AND PROVIDING GROUND TRUTH FOR TERRA-SAR X DATA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W2, 401-406, https://doi.org/10.5194/isprsarchives-XL-1-W2-401-2013, 2013.

BibTeX EndNote Reference Manager XML