Land Use Cover Mapping of Water Melon and Cereals in Southern Italy

  • Costanza Fiorentino |
  • Domenico Ventrella
  • Luisa Giglio
  • Enza Di Giacomo
  • Raffaele Lopez


The new high-resolution images from the satellites as IKONOS, SPOT5, Quickbird2 give us the opportunity to map ground features, which were not detectable in the past, by using medium resolution remote sensed data (LANDSAT). More accurate and reliable maps of land cover can then be produced. However, classification procedure with these images is more complex than with the medium resolution remote sensing data for two main reasons: firstly, because of their exiguous number of spectral bands, secondly, owing to high spatial resolution, the assumption of pixel independence does not generally hold. It is then necessary to have a multi-temporal series of images or to use classifiers taking into account also proximal information. The data in this study were (i) a remote sensing image taken by SPOT5 satellite in July 2007 and used to discriminate the water melon cover class and, (ii) three multi-temporal remote sensing images taken by SPOT5 satellite in May, June and July 2008 used to discriminate water melon and cereal crop cover classes. For water melon recognition, providing a single image in 2007, an object-oriented technique was applied instead of a traditional, per pixel technique obtaining an increase of overall accuracy of 15%. In 2008, since it was available a multi-temporal data set, a traditional ‘Maximum Likelihood’ technique was applied for both water melon and cereal crop cover class. The overall accuracy is greater than 95%.


Download data is not yet available.
Original Articles
Abstract views: 665

PDF: 160
Share it

PlumX Metrics

PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.

How to Cite
Fiorentino, C., Ventrella, D., Giglio, L., Di Giacomo, E., & Lopez, R. (2010). Land Use Cover Mapping of Water Melon and Cereals in Southern Italy. Italian Journal of Agronomy, 5(2), 185-192.

Most read articles by the same author(s)