| Revue: | Investigaciones geográficas - Instituto de Geografía. UNAM |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000451116 |
| ISSN: | 0188-4611 |
| Autores: | Tecuapetla Gómez, Inder1 Villamil Cortez, Gabriela1 Cruz López, María Isabel1 |
| Instituciones: | 1Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, Ciudad de México. México |
| Año: | 2021 |
| Número: | 106 |
| País: | México |
| Idioma: | Español |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | The La Primavera Wildlife Protection Area (APFFLP, in Spanish) is located west of Guadalajara, the third largest city of Mexico. This natural area harbors four types of vegetation: oak forest (Quercus), oak-pine forest (Quercus-Pinus), pine-oak forest (Pinus-Quercus), and deciduous tropical forest, as well as three plant communities - riparian, rocky, and ruderal - that grow within the vegetation types just mentioned. The natural richness of La Primavera is potentially threatened due to forest fires that occur at least once a year. This text reports the results of an analysis to determine semi-automated areas burned in La Primavera during the period 2003 to 2016 using time series of Landsat-7 images of the Normalized Difference Vegetation Index and the Normalized Burn Ratio, NDVI and NBR, respectively. To determine burned areas in the APFFLP, we first estimated the dates of abrupt changes in the trend of the NDVI time series using the Breaks For Additive Season and Trend (BFAST) algorithm. In a first instance, this algorithm allows estimating the trend, seasonal or temporal component, and the corresponding errors of each NDVI time series. Moreover, by combining dynamic programming, a statistical model selection criterion, and a statistical hypothesis test, BFAST allows estimating abrupt shifts in the trend and seasonal component of the NDVI; the algorithm returns the dates of these abrupt changes along with their respective confidence interval. This study only considered very marked changes in the NDVI trend, which were deemed plausible burn dates. Because abrupt changes in the NDVI structure may have different root causes, such as deforestation, it was necessary to determine their association with level changes in a spectral index used to determine burned areas. To this end, we used NBR values in a typical pre-post-burn analysis. That is, having a date of abrupt change in the NDVI trend as reference, we calculated the difference in NBR values between the |
| Disciplinas: | Geografía |
| Palabras clave: | Geografía física, Areas quemadas, Incendios, Indice de vegetación de diferencia normalizada (NDVI), Landsat 7, La Primavera, Jalisco, México |
| Keyword: | Physical geography, Fires, Burned areas, Normalized difference vegetation index (NDVI), Landsat 7, La Primavera, Jalisco, Mexico |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
