Soil degradation phenomena are induced by both natural (soil characteristics, climate conditions) and anthropogenic (overgrazing, deforestation, improper agricultural practices) factors. Among the man-induced factors, the intensive agriculture is one of the widest diffused causes of soil deterioration. Particularly, persistent passes of operative machineries produce a dangerous alteration of soil chemical-physical properties. In the framework of Interreg IIIB MILDMAP-MEDIA project, we developed a new index based on the integration of land cover classifications and slope for assessing the level of mechanization that combined with information on soil types allows for estimating the soil vulnerability to compaction. Two Landsat-TM images were classified with a hybrid unsupervised/supervised approach to obtain land cover maps. On the basis of cultivation type and slope values, derived from a DEM, we associated the required number of machinery passes and evaluated the different use between tyred and tracked vehicles. Results obtained form the comparison of the implemented index with other commonly used indices enhanced its capability to provide a more detailed classification of vulnerability to soil compaction representing precious information for land degradation assessment.

A new index for the evaluation of land management in the framework of land degradation assessment

Imbrenda V;Simoniello T;Lanfredi M;
2009

Abstract

Soil degradation phenomena are induced by both natural (soil characteristics, climate conditions) and anthropogenic (overgrazing, deforestation, improper agricultural practices) factors. Among the man-induced factors, the intensive agriculture is one of the widest diffused causes of soil deterioration. Particularly, persistent passes of operative machineries produce a dangerous alteration of soil chemical-physical properties. In the framework of Interreg IIIB MILDMAP-MEDIA project, we developed a new index based on the integration of land cover classifications and slope for assessing the level of mechanization that combined with information on soil types allows for estimating the soil vulnerability to compaction. Two Landsat-TM images were classified with a hybrid unsupervised/supervised approach to obtain land cover maps. On the basis of cultivation type and slope values, derived from a DEM, we associated the required number of machinery passes and evaluated the different use between tyred and tracked vehicles. Results obtained form the comparison of the implemented index with other commonly used indices enhanced its capability to provide a more detailed classification of vulnerability to soil compaction representing precious information for land degradation assessment.
2009
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Inglese
Maktav D.
Remote Sensing for a Changing Europe
28th Symposium of the European Association of Remote Sensing Laboratories
535
542
8
978-1-58603-986-8
http://www.iospress.nl/book/remote-sensing-for-a-changing-europe/
Sì, ma tipo non specificato
2-5 June 2008
Istanbul, Turkey
Land managment
Land degradation
Landsat-TM
Land cover
4
none
Imbrenda V; Simoniello T; Carone M T; Coppola R; Emilio M D; Lanfredi M; Liberti M; Macchiato M
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/241760
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