Selecting control sites for post-fire ecological studies using biological criteria and MODIS time series data
Wildland fires play a key role in the functioning and structure of vegetation. The availability of sensors aboard satellites, such as Moderate Resolution Imaging Spectroradiometer (MODIS), makes possible the construction of a time series of vegetation indices (VI) and the monitoring of post-fire ve...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Association for Fire Ecology
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/3585 https://link.springer.com/article/10.4996/fireecology.130274623 https://doi.org/10.4996/fireecology.130274623 |
| _version_ | 1855483266160656384 |
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| author | Landi, Marcos Alejandro Di Bella, Carlos Marcelo Ojeda, Silvia Salvatierra, Paola Luciana Argañaraz, Juan Pablo Bellis, Laura Marisa |
| author_browse | Argañaraz, Juan Pablo Bellis, Laura Marisa Di Bella, Carlos Marcelo Landi, Marcos Alejandro Ojeda, Silvia Salvatierra, Paola Luciana |
| author_facet | Landi, Marcos Alejandro Di Bella, Carlos Marcelo Ojeda, Silvia Salvatierra, Paola Luciana Argañaraz, Juan Pablo Bellis, Laura Marisa |
| author_sort | Landi, Marcos Alejandro |
| collection | INTA Digital |
| description | Wildland fires play a key role in the functioning and structure of vegetation. The availability of sensors aboard satellites, such as Moderate Resolution Imaging Spectroradiometer (MODIS), makes possible the construction of a time series of vegetation indices (VI)
and the monitoring of post-fire vegetation recovery. One of the techniques used to monitor post-fire vegetation is the comparison of a burned site with an adjacent unburned control site. However, to date, there is no objective method available for selecting these unburned control sites. We propose three biological criteria that the unburned sites must meet to be considered control sites, as
well as statistical methods based on the analysis of the properties of the Quotient Vegetation Indices time series (QVI), to detect unburned sites that meet the proposed criteria. We also test the performance of the proposed method by checking the pre-fire difference between burned and unburned sites, assuming that the higher the number of met criteria, the greater the similarity. Therefore, we compare the differences between VI time series of burned sites and VI time series of unburned sites with the same vegetation cover that meet three, two, one, and none of the proposed criteria. In addition, we compare the quality of QVI time series that meet three, two, one, and none of the proposed criteria. Our results show that, for Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) data, the difference between the time series of burned and unburned sites gradually decreases with the increase of met criteria. A gradual increase is also observed in the quality of the QVI time series with the increase of met criteria. Despite the limitations present in the proposed method, our model represents an advance from the conceptual and methodological standpoints, since this is the first proposal of a statistical method for selecting unburned control sites based on biological criteria. |
| format | Artículo |
| id | INTA3585 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | Association for Fire Ecology |
| publisherStr | Association for Fire Ecology |
| record_format | dspace |
| spelling | INTA35852019-01-11T12:51:47Z Selecting control sites for post-fire ecological studies using biological criteria and MODIS time series data Landi, Marcos Alejandro Di Bella, Carlos Marcelo Ojeda, Silvia Salvatierra, Paola Luciana Argañaraz, Juan Pablo Bellis, Laura Marisa Ecología del Fuego Indice de Vegetación Análisis de Series Cronológicas Fire Ecology Vegetation Index Time Series Analysis MODIS NDVI Time Series Analysis Control Site Selection Ecological Experimental Design EVI Time Series Analysis Wildland fires play a key role in the functioning and structure of vegetation. The availability of sensors aboard satellites, such as Moderate Resolution Imaging Spectroradiometer (MODIS), makes possible the construction of a time series of vegetation indices (VI) and the monitoring of post-fire vegetation recovery. One of the techniques used to monitor post-fire vegetation is the comparison of a burned site with an adjacent unburned control site. However, to date, there is no objective method available for selecting these unburned control sites. We propose three biological criteria that the unburned sites must meet to be considered control sites, as well as statistical methods based on the analysis of the properties of the Quotient Vegetation Indices time series (QVI), to detect unburned sites that meet the proposed criteria. We also test the performance of the proposed method by checking the pre-fire difference between burned and unburned sites, assuming that the higher the number of met criteria, the greater the similarity. Therefore, we compare the differences between VI time series of burned sites and VI time series of unburned sites with the same vegetation cover that meet three, two, one, and none of the proposed criteria. In addition, we compare the quality of QVI time series that meet three, two, one, and none of the proposed criteria. Our results show that, for Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) data, the difference between the time series of burned and unburned sites gradually decreases with the increase of met criteria. A gradual increase is also observed in the quality of the QVI time series with the increase of met criteria. Despite the limitations present in the proposed method, our model represents an advance from the conceptual and methodological standpoints, since this is the first proposal of a statistical method for selecting unburned control sites based on biological criteria. Los incendios juegan un rol clave en el funcionamiento y estructura de la vegetación. La disponibilidad de sensores a bordo de satélites tales como el MODIS, hacen posible la construcción de series de tiempo de índices de vegetación (VI) y el monitoreo de la recuperación de la vegetación post fuego. Una de las técnicas usadas para monitorear la vegetación post fuego de un sitio quemado es su comparación con otro adyacente sin quemar. Por supuesto y hasta el presente, no existe un método objetivo disponible para seleccionar lugares sin quemar que sirvan de testigo. Nosotros proponemos tres criterios biológicos que los lugares sin quemar deberían cumplir para ser considerados como sitios testigo, como así también métodos estadísticos basados en el análisis de las propiedades de las series de tiempo del índice de cociente de vegetación (QVI), para detectar sitios no quemados que cumplan con los criterios propuestos. También probamos el desempeño del método propuesto mediante la prueba de las diferencias previas al incendio entre lugares quemados y no quemados, suponiendo que cuanto mayor es el número de criterios concordantes, mayor será la similitud entre sitios. En base a eso, comparamos las diferencias entre las series de tiempo (VI) de los sitios quemados con aquellos (VI) de los no quemados con el mismo tipo de cobertura de vegetación que cumplirían con tres, dos, uno, o ninguno de los criterios propuestos. Adicionalmente comparamos la calidad de las series de tiempo (QV) que cumplían con tres, dos, uno, o ninguno de los criterios propuestos. Nuestros resultados muestran que para datos del índice normalizado de vegetación (NDVI) y del índice de vegetación extendido (EVI), la diferencia entre las series de tiempo de sitios quemados y no quemados disminuye gradualmente con el incremento de los criterios concordantes. Un incremento gradual se observa también en la calidad de las series de tiempo (QVI) con el incremento de los criterios concordantes. A pesar de las limitaciones del método propuesto, nuestro modelo representa un avance tanto desde el punto de vista conceptual como metodológico, dado que es la primera propuesta de un método estadístico para seleccionar sitios testigo no quemados, basados en criterios biológicos. Instituto de Clima y Agua Fil: Landi, Marcos Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina Fil: Ojeda, Silvia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Centro de Investigación y Estudios de Matemática. Universidad Nacional de Córdoba. Centro de Investigación y Estudios de Matemática; Argentin Fil: Salvatierra, Paola Luciana. Universidad Nacional de Villa María; Argentina Fil: Argañaraz, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina Fil: Bellis, Laura Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Diversidad y Ecología Animal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto de Diversidad y Ecología Animal; Argentina 2018-10-12T14:59:16Z 2018-10-12T14:59:16Z 2017 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/3585 https://link.springer.com/article/10.4996/fireecology.130274623 1933-9747 https://doi.org/10.4996/fireecology.130274623 eng info:eu-repo/semantics/restrictedAccess application/pdf Association for Fire Ecology Fire ecology 13 (2). (2017) |
| spellingShingle | Ecología del Fuego Indice de Vegetación Análisis de Series Cronológicas Fire Ecology Vegetation Index Time Series Analysis MODIS NDVI Time Series Analysis Control Site Selection Ecological Experimental Design EVI Time Series Analysis Landi, Marcos Alejandro Di Bella, Carlos Marcelo Ojeda, Silvia Salvatierra, Paola Luciana Argañaraz, Juan Pablo Bellis, Laura Marisa Selecting control sites for post-fire ecological studies using biological criteria and MODIS time series data |
| title | Selecting control sites for post-fire ecological studies using biological criteria and MODIS time series data |
| title_full | Selecting control sites for post-fire ecological studies using biological criteria and MODIS time series data |
| title_fullStr | Selecting control sites for post-fire ecological studies using biological criteria and MODIS time series data |
| title_full_unstemmed | Selecting control sites for post-fire ecological studies using biological criteria and MODIS time series data |
| title_short | Selecting control sites for post-fire ecological studies using biological criteria and MODIS time series data |
| title_sort | selecting control sites for post fire ecological studies using biological criteria and modis time series data |
| topic | Ecología del Fuego Indice de Vegetación Análisis de Series Cronológicas Fire Ecology Vegetation Index Time Series Analysis MODIS NDVI Time Series Analysis Control Site Selection Ecological Experimental Design EVI Time Series Analysis |
| url | http://hdl.handle.net/20.500.12123/3585 https://link.springer.com/article/10.4996/fireecology.130274623 https://doi.org/10.4996/fireecology.130274623 |
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