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Abstract:

Natural fire regimes have been modified; therefore robust post-fire monitoring tools are needed to understand the post-fire recovery process. Satellites with high temporal resolution allow us to build time series of vegetation indices for monitoring post-fire vegetation recovery. One of the techniques used is to compare the time series of a burned plot with that of an unburned control plot. However, for its implementation it is necessary to select control plots in which the vegetation has the same structure and functioning than the plot burned before the fire. Previous study defined biological criteria to detect burned and unburned control plots with identical pre-fire vegetation functioning. Moreover, a non-parametric test routine of low statistical power was proposed to test them, this was based on the analysis of the QVI (Quotient Vegetation Index), calculated between NDVI (Normalized Difference Vegetation Index) time series of the burned and control site. However, currently there are autoregressive analysis techniques with greater statistical power. Therefore the aims were to propose six new statistical routines based on autoregressive test, and compare the performance of these with the non-parametric routine. We selected 13,700 forest plots and extracted the NDVI MODIS time series between 2002 and 2005. We randomly selected 43 reference plots, and through each routine, we compared each reference time series with the other 13,657 time series. We estimated the performance of the routines measuring the euclidian distance between the time series of the reference plot and the time series of the plots accepted for each routine. We also measured the quality and the amount of the QVI time series selected by each routine. Autoregressive routines showed better performance than the non-parametric routine, since they selected control plots with NDVI time series with greatest similarity with respect to the reference plots and QVI series with highest quality. © 2017, Universitat Politecnica de Valencia. All rights reserved.

Registro:

Documento: Artículo
Título:Control plot selection for studies of post-fire dynamics: Performance of non-parametric and autoregressive routines
Autor:Landi, M.A.; Ojeda, S.; di Bella, C.M.; Salvatierra, P.; Argañaraz, J.P.; Bellis, L.M.
Filiación:Instituto de Diversidad y Ecología Animal (IDEA), CONICET-UNC y Facultad de Ciencias Exactas Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
Facultad de Matemática, Astronomía y Física, Universidad Nacional de Córdoba, Córdoba, Argentina
Instituto Clima y Agua INTA Castelar, Hurlingham, Argentina
Depto. de Métodos Cuantitativos, Facultad de Agronomía- CONICET-UBA, Universidad de Buenos Aires, Buenos Aires, Argentina
Instituto Académico Pedagógico de Ciencias Humanas (IAPCH), Universidad Nacional de Villa María, Villa María, Argentina
Palabras clave:Control plot selection; Fire ecology; NDVI MODIS; NDVI time series analysis; Post-fire monitoring
Año:2017
Volumen:2017
Número:49 Special Issue
Página de inicio:79
Página de fin:90
DOI: http://dx.doi.org/10.4995/raet.2017.7116
Título revista:Revista de Teledeteccion
Título revista abreviado:Rev. Teledeteccion
ISSN:11330953
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_11330953_v2017_n49SpecialIssue_p79_Landi

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Citas:

---------- APA ----------
Landi, M.A., Ojeda, S., di Bella, C.M., Salvatierra, P., Argañaraz, J.P. & Bellis, L.M. (2017) . Control plot selection for studies of post-fire dynamics: Performance of non-parametric and autoregressive routines . Revista de Teledeteccion, 2017(49 Special Issue), 79-90.
http://dx.doi.org/10.4995/raet.2017.7116
---------- CHICAGO ----------
Landi, M.A., Ojeda, S., di Bella, C.M., Salvatierra, P., Argañaraz, J.P., Bellis, L.M. "Control plot selection for studies of post-fire dynamics: Performance of non-parametric and autoregressive routines " . Revista de Teledeteccion 2017, no. 49 Special Issue (2017) : 79-90.
http://dx.doi.org/10.4995/raet.2017.7116
---------- MLA ----------
Landi, M.A., Ojeda, S., di Bella, C.M., Salvatierra, P., Argañaraz, J.P., Bellis, L.M. "Control plot selection for studies of post-fire dynamics: Performance of non-parametric and autoregressive routines " . Revista de Teledeteccion, vol. 2017, no. 49 Special Issue, 2017, pp. 79-90.
http://dx.doi.org/10.4995/raet.2017.7116
---------- VANCOUVER ----------
Landi, M.A., Ojeda, S., di Bella, C.M., Salvatierra, P., Argañaraz, J.P., Bellis, L.M. Control plot selection for studies of post-fire dynamics: Performance of non-parametric and autoregressive routines . Rev. Teledeteccion. 2017;2017(49 Special Issue):79-90.
http://dx.doi.org/10.4995/raet.2017.7116