Reference : An easy and low-cost method for preprocessing and matching small-scale amateur aerial...
Scientific journals : Article
Life sciences : Environmental sciences & ecology
http://hdl.handle.net/2268/136351
An easy and low-cost method for preprocessing and matching small-scale amateur aerial photography for assessing agricultural land use in Burkina Faso
English
Wellens, Joost mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) >]
Midekor, Akoly mailto [> >]
Traore, Farid mailto [Université de Liège - ULiège > > > Doct. sc. (sc. & gest. env. - Bologne)]
Tychon, Bernard mailto [Université de Liège - ULiège > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Agrométéorologie (relation agriculture-environ. physique) >]
Aug-2013
International Journal of Applied Earth Observation and Geoinformation
Elsevier Science
23
273-278
Yes (verified by ORBi)
International
0303-2434
1569-8432
Amsterdam
The Netherlands
[en] aerial photography ; land use ; mosaic ; low-cost ; high resolution ; Burkina Faso
[en] In recent decades, the Kou watershed in south-western Burkina Faso has suffered from poor water management. Despite the abundance of water, most water users regularly face water shortages because of the increase in the amount of land under irrigation. To help them achieve a more equitable allocation of irrigated land, local stakeholders need an easily managed low-cost tool for monitoring and mapping these irrigated zones. The aim of this study was to develop a fast and low-cost procedure for mosaicing and georeferencing amateur small-scale aerial photographs for land-use surveys. Sets of tens (2009) and hundreds (2007) of low-altitude aerial photographs, with a resolution of 0.4 m and 0.8 m, respectively, were used to create a detailed land-cover map of typical African small-scale irrigated agriculture. A commercially available stitching tool and GIS allowed georeferenced ‘mono-images’ to be constructed; both mosaics were warped on a high-resolution SPOT image with a horizontal root mean square error (RMSE) of about 11 m. The RMSE between the two image datasets was 2 m. This approach is less sensitive to atmospheric conditions that are non-predictable in programming satellite imagery.
Université de Liège, Département Sciences et Gestion de l’Environnement, Arlon, Belgium
APEFE ; WBI
http://hdl.handle.net/2268/136351
10.1016/j.jag.2012.09.007

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