Abstract
In this study, we analyzed the dynamics of semi-natural vegetation observed before and after fire occurrence. Investigations were carried out for two test areas located in Southern Italy using Normalized Difference Vegetation Index (NDVI) from Terra MODIS data. The MOD09A1 (Level 3) was taken into consideration. It is an 8-day composite product available at a spatial resolution of 500 m. NDVI time series ranging from 2001 to 2009 have been analyzed using a physical-statistical method called Detrended fluctuation analysis (DFA). The same method has been previously adopted by the same authors group for analyzing VEGETATION/ NDVI time series recorder before and after fire for natural (i.e. unmanaged) vegetation covers. Results from this paper clearly pointed out the diverse vegetation behavior observed for natural and managed areas before and after fire occurrence.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Lasaponara, R.: Inter-comparison of AVHRR-based fire danger estimation methods. International Journal of Remote Sensing 26(5), 853–870 (2005)
Lasaponara, R., Lanorte, A.: VHR QuickBird data for fuel type characterization in fragmented landscape. Ecological Modelling in press (ECOMOD845R1) 204, 79–84 (2007a)
Lasaponara, R., Lanorte, A.: Remotely sensed characterization of forest fuel types by using satellite ASTER data. International Journal of Applied Earth Observations and Geoinformation 9, 225 (2007b)
Lasaponara, R., Lanorte, A.: Multispectral fuel type characterization based on remote sensing data and Prometheus model. Forest Ecology and Management 234, S226 (2006)
Lasaponara, R., Cuomo, V., Macchiato, M.F., Simoniello, T.: A self-adaptive algorithm based on AVHRR multitemporal data analysis for small active fire detection. International Journal of Remote Sensing 24(8), 1723–1749 (2003)
Lasaponara, R.: Estimating Spectral separability of satellite derived parameters for burned areas mapping in the Calabria Region by using SPOT-Vegetation data. Ecological Modelling 196, 265–270 (2006)
Telesca, L., Lasaponara, R.: Investigating fire-induced behavioural trends in vegetation covers. Communications in Nonlinear Science and Numerical Simulation 13, 2018–2023 (2008)
Escuin, S., Navarro, R., Fernàndez, P.: Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM/ETM images. International Journal of Remote Sensing 29(4), 1053–1073 (2008)
Kun, H., Plamen, C.I., Chen, Z., Carpena, P., Stanley, H.E.: Effect of trends on detrended fluctuation analysis. Physical Review E 64 (2001)
Telesca, L., Lasaponara, R.: Long-range persistent correlations in decade-longSPOT-VGT NDVI records of fire affected and fire unaffected Sites. African Journal of Agricultural Research 2(2), 36–40 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Montesano, T., Lanorte, A., De Santis, F., Lasaponara, R. (2011). Pre and Post Fire Vegetation Behavioral Trends from Satellite MODIS/NDVI Time Series in Semi-natural Areas. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6783. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21887-3_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-21887-3_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21886-6
Online ISBN: 978-3-642-21887-3
eBook Packages: Computer ScienceComputer Science (R0)