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Journal of Applied Remote Sensing

Mapping urban and peri-urban agriculture using high spatial resolution satellite data
Author(s): Dionys Forster; Yves Buehler; Tobias Kellenberger
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Paper Abstract

In rapidly changing peri-urban environments where biophysical and socio-economic processes lead to spatial fragmentation of agricultural land, remote sensing offers an efficient tool to collect land cover/land use (LCLU) data for decision-making. Compared to traditional pixel-based approaches, remote sensing with object-based classification methods is reported to achieve improved classification results in complex heterogeneous landscapes. This study assessed the usefulness of object-oriented analysis of Quickbird high spatial resolution satellite data to classify urban and peri-urban agriculture in a limited peri-urban area of Hanoi, Vietnam. The results revealed that segmentation was essential in developing the object-oriented classification approach. Accurate segmentation of shape and size of an object enhanced classification with spectral, textural, morphological, and topological features. A qualitative, visual comparison of the classification results showed successful localisation and identification of most LCLU classes. Quantitative evaluation was conducted with a classification error matrix reaching an overall accuracy of 67% and a kappa coefficient of 0.61. In general, object-oriented classification of high spatial resolution satellite data proved the promising approach for LCLU analysis at village level. Capturing small-scale urban and peri-urban agricultural diversity offers a considerable potential for environmental monitoring. Challenges remain with the delineation of field boundaries and LCLU diversity on more spatially extensive datasets.

Paper Details

Date Published: 1 March 2009
PDF: 12 pages
J. Appl. Rem. Sens. 3(1) 033523 doi: 10.1117/1.3122364
Published in: Journal of Applied Remote Sensing Volume 3, Issue 1
Show Author Affiliations
Dionys Forster, Eawag (Switzerland)
Yves Buehler, Univ. of Zürich (Switzerland)
Tobias Kellenberger, Univ. of Zürich (Switzerland)

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