An easy and low-cost method for preprocessing and matching small-scale amateur aerial photography for assessing agricultural land use in Burkina Faso

Abstract 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 geo referencing 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 geo referenced ‘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.

[1]  Faith R. Kearns,et al.  Classification of the wildland-urban interface: A comparison of pixel- and object-based classifications using high-resolution aerial photography , 2008, Comput. Environ. Urban Syst..

[2]  Ron Graham,et al.  Small Format Aerial Photography , 2006 .

[3]  J. Carreiras,et al.  Estimation of tree canopy cover in evergreen oak woodlands using remote sensing , 2006 .

[4]  D. Stow,et al.  Monitoring shrubland habitat changes through object-based change identification with airborne multispectral imagery , 2008 .

[5]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[6]  Felix Rembold,et al.  Use of aerial photographs, Landsat TM imagery and multidisciplinary field survey for land-cover change analysis in the lakes region (Ethiopia) , 2000 .

[7]  Denis J. Dean,et al.  A methodology for translating positional error into measures of attribute error, and combining the two error sources , 2006 .

[8]  Francisca López-Granados,et al.  Assessing land-use in olive groves from aerial photographs , 2004 .

[9]  William L. Baker,et al.  Using aerial photography and GIS to map the forest-tundra ecotone in Rocky Mountain national park, Colorado, for global change research , 1995 .

[10]  Gilles Rabatel,et al.  A non-supervised approach using Gabor filters for vine-plot detection in aerial images , 2008 .

[11]  Christopher Justice,et al.  The impact of misregistration on change detection , 1992, IEEE Trans. Geosci. Remote. Sens..

[12]  William L. Stefanov,et al.  Land use and land cover mapping from diverse data sources for an arid urban environments , 2006, Comput. Environ. Urban Syst..

[13]  K. Urama,et al.  Land-use intensification and environmental degradation: empirical evidence from irrigated and rain-fed farms in south eastern Nigeria. , 2005, Journal of environmental management.

[14]  James H. Cock,et al.  Acquisition of low altitude digital imagery for local monitoring and management of genetic resources , 2007 .

[15]  J. S. Aber,et al.  Small-Format Aerial Photography: Principles, Techniques and Geoscience Applications , 2010 .

[16]  Duccio Rocchini,et al.  Relief effects on aerial photos geometric correction , 2005 .

[17]  Klaus Steinnocher,et al.  Object-oriented classification of orthophotos to support update of spatial databases , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[18]  A. C. Bird,et al.  GEOMETRIC CORRECTION OF SPOT AND LANDSAT IMAGERY: A COMPARISON OF MAP- AND GPS-DERIVED CONTROL POINTS , 1996 .

[19]  R. Lunetta,et al.  Remote Sensing Change Detection: Environmental Monitoring Methods and Applications , 1999 .

[20]  R. Kadmon,et al.  Studying Long-Term Vegetation Dynamics Using Digital Processing of Historical Aerial Photographs , 1999 .

[21]  N. Loneragan,et al.  Mapping and characterising subtropical estuarine landscapes using aerial photography and GIS for potential application in wildlife conservation and management , 2005 .

[22]  P. A. Raal,et al.  Mapping and conservation importance rating of the South African coastal vegetation as an aid to development planning , 1996 .

[23]  Erle C. Ellis,et al.  Image Misregistration Error in Change Measurements , 2005 .

[24]  Nicholas C. Coops,et al.  Aerial Photography: A Rapidly Evolving Tool for Ecological Management , 2010 .