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Proceedings Paper

Land cover data from Landsat single-date archive imagery: an integrated classification approach
Author(s): Sofia Bajocco; Tomaso Ceccarelli; Simone Rinaldo; Antonella De Angelis; Luca Salvati; Luigi Perini
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Paper Abstract

The analysis of land cover dynamics provides insight into many environmental problems. However, there are few data sources which can be used to derive consistent time series, remote sensing being one of the most valuable ones. Due to their multi-temporal and spatial coverage needs, such analysis is usually based on large land cover datasets, which requires automated, objective and repeatable procedures. The USGS Landsat archives provide free access to multispectral, high-resolution remotely sensed data starting from the mid-eighties; in many cases, however, only single date images are available. This paper suggests an objective approach for generating land cover information from 30m resolution and single date Landsat archive satellite imagery. A procedure was developed integrating pixel-based and object-oriented classifiers, which consists of the following basic steps: i) pre-processing of the satellite image, including radiance and reflectance calibration, texture analysis and derivation of vegetation indices, ii) segmentation of the pre-processed image, iii) its classification integrating both radiometric and textural properties. The integrated procedure was tested for an area in Sardinia Region, Italy, and compared with a purely pixel-based one. Results demonstrated that a better overall accuracy, evaluated against the available land cover cartography, was obtained with the integrated (86%) compared to the pixel-based classification (68%) at the first CORINE Land Cover level. The proposed methodology needs to be further tested for evaluating its trasferability in time (constructing comparable land cover time series) and space (for covering larger areas).

Paper Details

Date Published: 2 July 2013
PDF: 9 pages
Proc. SPIE 8538, Earth Resources and Environmental Remote Sensing/GIS Applications III, 85381R (2 July 2013); doi: 10.1117/12.974723
Show Author Affiliations
Sofia Bajocco, National Agricultural Research Council (Italy)
Tomaso Ceccarelli, National Agricultural Research Council (Italy)
Simone Rinaldo, National Agricultural Research Council (Italy)
Antonella De Angelis, National Agricultural Research Council (Italy)
Luca Salvati, National Agricultural Research Council (Italy)
Luigi Perini, National Agricultural Research Council (Italy)

Published in SPIE Proceedings Vol. 8538:
Earth Resources and Environmental Remote Sensing/GIS Applications III
Shahid Habib; Ulrich Michel; Daniel L. Civco; David Messinger; Antonino Maltese; Manfred Ehlers; Karsten Schulz; Konstantinos G. Nikolakopoulos, Editor(s)

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