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International Journal of Remote Sensing Volume 27, 2006 - Issue 14
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Original Articles

Fire‐induced variability in satellite SPOT‐VGT NDVI vegetational data

Luciano Telesca Istituto di Metodologie per l'Analisi Ambientale, CNR, C. da S. Loja, 85050 Tito (PZ), ItalyCorrespondence[email protected]
&
Rosa Lasaponara Istituto di Metodologie per l'Analisi Ambientale, CNR, C. da S. Loja, 85050 Tito (PZ), Italy
Pages 3087-3095 | Received 18 May 2005, Accepted 04 Jan 2006, Published online: 22 Feb 2007

Citations (7)

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Semiha Demirbaş Çağlayan, Ugur Murat Leloglu, Christian Ginzler, Achilleas Psomas, Uğur S. Zeydanlı, C. Can Bilgin & Lars T. Waser. (2022) Species level classification of Mediterranean sparse forests-maquis formations using Sentinel-2 imagery. Geocarto International 37:6, pages 1587-1606.
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Luciano Rodrigues da Silva, Tatijana Stošić & BorkoD. Stošić. (2012) Power law correlations in time series of wild-land and forest fires in Brazil. International Journal of Remote Sensing 33:7, pages 2059-2067.
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Articles from other publishers (5)

Massimo Zanetti. (2023) A One-Class Classification Model for Burned-Area Detection Based on Mutual Ordering of Normalized Differences. IEEE Transactions on Geoscience and Remote Sensing 61, pages 1-15.
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Luciano Telesca. 2016. Fractal Solutions for Understanding Complex Systems in Earth Sciences. Fractal Solutions for Understanding Complex Systems in Earth Sciences 117 152 .
S. Faroux, A. T. Kaptué Tchuenté, J.-L. Roujean, V. Masson, E. Martin & P. Le Moigne. (2013) ECOCLIMAP-II/Europe: a twofold database of ecosystems and surface parameters at 1 km resolution based on satellite information for use in land surface, meteorological and climate models. Geoscientific Model Development 6:2, pages 563-582.
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Antonio Lanorte, Fortunato De Santis, Angelo Aromando & Rosa Lasaponara. 2012. Computational Science and Its Applications – ICCSA 2012. Computational Science and Its Applications – ICCSA 2012 481 496 .
Rosa Lasaponara & Antonio Lanorte. (2007) Remotely sensed characterization of forest fuel types by using satellite ASTER data. International Journal of Applied Earth Observation and Geoinformation 9:3, pages 225-234.
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