Impacto edilicio y del arbolado sobre el índice de vegetación en el área metropolitana de Mendoza, Argentina.

This work analyzes the relationships between the normalized difference vegetation index (in Spanish, NDVI), the building footprint (in Spanish, HE), the total building factor (in Spanish, FET) and the variables of urban trees "completeness" and "transmission" in the Metropolitan...

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Detalles Bibliográficos
Autores principales: Arboit, Mariela Edith, Maglione, Dora
Formato: Online
Lenguaje:spa
Publicado: Instituto de Cartografía, Investigación y Formación para el Ordenamiento Territorial. CIFOT. 2019
Materias:
SIG
GIS
Acceso en línea:https://revistas.uncu.edu.ar/ojs3/index.php/proyeccion/article/view/2836
Descripción
Sumario:This work analyzes the relationships between the normalized difference vegetation index (in Spanish, NDVI), the building footprint (in Spanish, HE), the total building factor (in Spanish, FET) and the variables of urban trees "completeness" and "transmission" in the Metropolitan Area of Mendoza (in Spanish, AMM). Methodologically, the indices and variables in geographic information systems were determined from the analysis of Landsat 8 satellite images (2013-2017), urban cadastral data (2010), and data from the public tree census (2012). Subsequently, a statistical analysis of the estimation of correlations was carried out. The results obtained indicate a negative impact of the HE and the FET on the NDVI, in the different seasons of the year and the different municipal departments, for all the years of study. Considering the results of the urban blocks of Capital, the completion of the trees in the public road is the most relevant variable to improve the vegetation index; HE, FET, and transmission have a negative impact. In the improvement in NDVI values in blocks already consolidated with high HE and FET values there should considered the incorporation of new green infrastructures such as vegetated roofs and walls, since the existing urban trees does not compensate for the building impact on the vegetation index.