http://www.cnr.it/ontology/cnr/individuo/prodotto/ID207701
Land-use and land-cover change detection in a semi-arid area of Niger using multi-temporal analysis of Landsat images (Articolo in rivista)
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- Label
- Land-use and land-cover change detection in a semi-arid area of Niger using multi-temporal analysis of Landsat images (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1080/01431161.2013.781702 (literal)
- Alternative label
Nutini F., Boschetti M., P.A. Brivio, S. Bocchi., M. Antoninetti (2013)
Land-use and land-cover change detection in a semi-arid area of Niger using multi-temporal analysis of Landsat images
in International journal of remote sensing (Online); TAYLOR & FRANCIS LTD, London (Regno Unito)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Nutini F., Boschetti M., P.A. Brivio, S. Bocchi., M. Antoninetti (literal)
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- http://www.tandfonline.com/doi/full/10.1080/01431161.2013.781702 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Nutini F., Boschetti M., P.A. Brivio, M. Antoninetti: CNR-IREA;
Bocchi S. : Dip. Scienze Agrarie e Ambientali, Università degli Studi di Milano (literal)
- Titolo
- Land-use and land-cover change detection in a semi-arid area of Niger using multi-temporal analysis of Landsat images (literal)
- Abstract
- Recent studies using low-resolution satellite time series show that the Sahelian belt of West Africa is witnessing an increase in vegetation cover/biomass, called re-greening. However, detailed information on local processing and changes is rare or lacking. A multi-temporal set of Landsat images was used to produce land-cover maps for the years 2000 and 2007 in a semi-arid region of Niger, where an anomalous vegetation trend was previously detected. Several supervised classification approaches were tested: spectral classification of single Landsat data, temporal classification of normalized difference vegetation index time series from Landsat images, and two-step classification integrating both these approaches. The accuracy of the land-cover maps obtained ranges between 80% and 90% overall for the two-step classification approach. Comparison of the maps between the two years indicates a stable semi-arid region, where some change in hot spots exists despite a generally constant level of rainfall in the area during this period. In particular, the Dallol Bosso fossil valley highlights an increase in cultivated land, while a decrease in herbaceous vegetation was observed outside the valley where rangeland is the predominant natural landscape (literal)
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