Análisis de parámetros biofísicos a partir de información multiespectral. Caso arroyo Corto y arroyo Pescado. Argentina
Geraldi, Alejandra Mabel et al · Universidad Distrital Francisco José de Caldas · 2019
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The remote sensing and the GIS are technology that are capable of providing the necessary measures for the global and economically feasible calculation of the risk of thermal and water stress. The remote sensing represents a useful tool for calculating the risk of stress to large areas, where meteorological data aren’t available. The crops in temperate zones are affected by thermal and water factors. Based on the multispectral information provided by the Landsat 8, it allows us to analyze and compare the biophysical behavior of the crops in the region that has water and thermal limitations. The basin of the Corto y Pescado stream are de study area. This area is located in southwestern Buenos Aires and includes the administrative divisions of Coronel Suarez, Saavedra, Tornquist, General Lamadrid, Daireaux and Guaminí. The two streams are subbasins belonging to the Encadenadas del Oeste basin. The main objective was to estimate water stress conditions from agroclimatic indicators. This was determined by seasonal variation of NDVI through digital processing and conversion to surface temperature from multispectral information. These calculations allow us to calculate the TDVI (Temperature Dryness Vegetation Index), which is an index of water stress that combines the surface temperature and a vegetation index. The surface temperature values obtained from satellite images were validated with a weather station in the area. The calculation of the index was made for January 15, April 21, July 26 and November 15 from 2014. The date bands are in digital levels (DN) with a radiometric resolution of 16 bits. These values were converted to radiance and reflectance values in the roof of the atmosphere (TOA) with scale factors from the metadata. It was obtained that according to the index the basin presents a high deficit in the four seasons, especially in the autumn, winter and spring. The study area central sector shows a slight improvement regarding the deficit in the spring. There is a high and moderate deficit in the crops majority, although rainfall was higher than the annual average (1141 mm). The TDVI serves as another additional analysis tool to those already known as the NDVI. In addition, this tool incorporates the temperature variant achieving a wider study of it. A great use of it can be to determine irrigation new areas or relocate areas already irrigated.
Fil: Geraldi, Alejandra Mabel. Universidad Nacional del Sur. Departamento de Geografía y Turismo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
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APA 7
Geraldi, A. M. E. A. (2019). Análisis de parámetros biofísicos a partir de información multiespectral. Caso arroyo Corto y arroyo Pescado. Argentina. http://hdl.handle.net/11336/100242
MLA
Geraldi, Alejandra Mabel et al. "Análisis de parámetros biofísicos a partir de información multiespectral. Caso arroyo Corto y arroyo Pescado. Argentina." 2019. http://hdl.handle.net/11336/100242.
Chicago
Geraldi, Alejandra Mabel et al. 2019. "Análisis de parámetros biofísicos a partir de información multiespectral. Caso arroyo Corto y arroyo Pescado. Argentina.". http://hdl.handle.net/11336/100242.
Harvard
Geraldi, A. M. E. A. 2019, Análisis de parámetros biofísicos a partir de información multiespectral. Caso arroyo Corto y arroyo Pescado. Argentina, Universidad Distrital Francisco José de Caldas, available at: http://hdl.handle.net/11336/100242 [Accessed 28 Jun. 2026].
Detalles del recurso
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- Título
- Análisis de parámetros biofísicos a partir de información multiespectral. Caso arroyo Corto y arroyo Pescado. Argentina
- Autor / colaboradores
- Geraldi, Alejandra Mabel et al
- Editorial
- Universidad Distrital Francisco José de Caldas
- Año de publicación
- 2019
- ISSN
- 2346-1055
- ISSN
- 2346-1055
- Idioma
- spa
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