Data/hora: 16/06/2024 02:16:09

Biblioteca(s): | Embrapa Gado de Leite.
Data corrente: | 30/12/2019
Data da última atualização: | 06/02/2024
Autoria: | ANDRADE, R. G.; HOTT, M. C.; MAGALHAES JUNIOR, W. C. P. de.
Afiliação: | RICARDO GUIMARAES ANDRADE, CNPGL; MARCOS CICARINI HOTT, CNPGL; WALTER COELHO P DE MAGALHAES JUNIOR, CNPGL.
Título: | Estimation of energy flux and biomass in pasture areas through remote sensing techniques.
Ano de publicação: | 2019
Fonte/Imprenta: | International Journal of Advanced Engineering Research and Science, v. 6, n. 4, p. 59-65, 2019.
DOI: | https://dx.doi.org/10.22161/ijaers.6.4.6
Idioma: | Inglês
Conteúdo: | Pasture production is estimated through remote sensing techniques with the aid of models and algorithms. The application with no need for extensive field measurements is one of the advantages of the Surface Energy Balance Algorithm for Land (SEBAL). The objective of this work was to estimate energy fluxes and, subsequently, pasture biomass with the aid of remote sensing techniques. The study area is located on the Experimental Farm of Embrapa Beef Cattle, municipality of Campo Grande, State of Mato Grosso do Sul, Brazil. For the implementation of the SEBAL and estimation of energy fluxes and biomass of the pasture areas, meteorological data and Landsat 5 - TM image were used. It was found that the technique has the potential to be applied to indicate the forage availability and to support decision-making in the planning and management of the extensive production of beef and milk cattle, with economic and environmental sustainability of pasture areas.
Palavras-Chave: | Geotechnology; SEBAL.
Thesaurus Nal: | Environmental sustainability; Livestock; Rural planning.
Categoria do assunto: | --
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/207931/1/IJAERS-RicardoG-Estimation.pdf
Registro original: | Embrapa Gado de Leite (CNPGL)
Exemplares: | CNPGL - (24913-1) - UPC - AP - DD -  -  -  - DIS