Evaluation of Precipitation and Evapotranspiration Obtained by Remote Sensing With Meteorological Stations in the State of Goiás

Moraes, Victor Hugo and Giongo, Pedro Rogerio and Arantes, Bruno Henrique Tondato and Costa, Estevam Matheus and Ventura, Matheus Vinícius Abadia and Cavalcante, Thomas Jefferson and Giongo, Angelina Maria Marcomini (2019) Evaluation of Precipitation and Evapotranspiration Obtained by Remote Sensing With Meteorological Stations in the State of Goiás. Journal of Agricultural Science, 11 (4). p. 356. ISSN 1916-9752

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Abstract

The measures of precipitation and evapotranspiration can be realized by means of meteorological predictors or by meteorological satellites. Both types have advantages and disadvantages. Emission is one of the most important climatic parameters for a region’s socioeconomic and environmental formation, while evapotranspiration is more important for global and local climate mediators. The objective of this work was to analyze the comparative form of the rainfall satellite data through the TRMM and evapotranspiration satellite, by the MODIS satellite, with surface data, that is, of meteorological demarcations, distributed in the State of Goiás, in the years of 2012 and 2013. The monthly measurements were taken in meteorological stations (automatic and conventional), distributed and representative in the State of Goiás. Data collection of the stations was done through the INMET website. The data of the TRMM satellite were obtained from the LAPIG-MAPS platform, developed by the Laboratory of Image Processing and Geoprocessing of the Federal University of Goiás (LAPIG/UFG), for the generation of the quarterly maps for the year 2012 and 2013. The high regression between the data of the surface meteorological stations and the data of TRMM satellite for the year of 2012 and 2013 allows to affirm a high reliability to the orbital data. The evapotranspiration data present low correlation between satellite data (MOD16) and surface stations. Still, this information evidences high potentiality and availability of information in large spatial and temporal scale.

Item Type: Article
Subjects: Open Archive Press > Agricultural and Food Science
Depositing User: Unnamed user with email support@openarchivepress.com
Date Deposited: 11 May 2023 06:32
Last Modified: 17 May 2024 10:09
URI: http://library.2pressrelease.co.in/id/eprint/1194

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