IMPACT OF THE HYDRIC REPOSITION IN SOIL ON THE AGRICULTURE IN SEMI ARID REGION

Authors

  • Josiclêda Domiciano Galvíncio Universidade Federal de Pernambuco/Departamento de Ciências Geográficas/Recife/Pernambuco/Brasil
  • Luciana Mayla França Universidade Federal de Pernambuco

DOI:

https://doi.org/10.5935/2237-2202.20140002

Keywords:

NDVI, Water balance, agriculture, correlation.

Abstract

Scientists around the world have shown impacts of the climate change in agriculture. The study of impacts climate in agriculture is very important for different areas, human, economic, hydrology, social, environment, etc. The aim this study is to analyze the spatial-temporal variation of agriculture due hydric reposition on semiarid region of Brazil. In this study we used Landsat image for estimate NDVI – Normalized Difference Vegetation Index and method of Thornthwaite and Matter for estimate water balance. The results of this study show that knowing the amount of water that is stored in the soil during rainy season is very important to specify the conditions of the agriculture in this year. Finally, it is possible to predict the conditions of the agriculture using climatic water balance and vegetation indices obtained satellite images of the rainy season.

Author Biography

Josiclêda Domiciano Galvíncio, Universidade Federal de Pernambuco/Departamento de Ciências Geográficas/Recife/Pernambuco/Brasil

Departamento de Ciências Geográficas/área de sensoriamento remoto/climatologia/hidrologia/estatistica.

References

Adams, Richard M.; Hurd, Brian H.; Lenhart, Stephanie; Leary, Neil. 1998. Effects of global climate change on agriculture: an interpretative review. Climate Research. Vol. 11: 19–30.
Allen, R.G., Trezza, R., 2002. S e b a l-Surface Energy Balance Algorithms for Land 1–98.
Fernando, L., Leite, C., Petrese, V.G., Sagrilo, E., 2010. Sequestro de carbono em solos da região Semiárida brasileira estimado por modelo de simulação em diferentes sistemas produtivos Resumo, in: ICID +18.
Ferrez, J., Davison, a. C., Rebetez, M., 2011. Extreme temperature analysis under forest cover compared to an open field. Agric. For. Meteorol. 151, 992–1001.
Ferrez, J, Davison, A.C., Rebetez, M., 2011. Agricultural and Forest Meteorology Extreme temperature analysis under forest cover compared to an open field. Agric. For. Meteorol. 151, 992–1001.
Freire, J. L. M.; Lima, J. R. A.; Cavalcanti, E.P., 2011. Análise de Aspectos Meteorológicos sobre o Nordeste do Brasil em Anos de El Niño e La Niña. Rev. Bras. Geogr. Física 04, 429–444.
Galvíncio, J.D., Naue, C.R., Angelotti, F., Moura, M.S.B. De, 2011. Vitis vinifera Spectral Response To The Increase Of CO 2. J. Hyperspectral Remote Sens. 01, 1–18.
Galvíncio, J.D., Pimentel, D.M.M.R., 2012. Leaf Spectral Behavior And Chlorophyll Content Of Mimosa Hostilis Canopy In A Semiarid Environment. J. Hyperspectral Remote Sens. 02, 01–09.
Giongo, V., Jarbas, T., Cunha, F., Salviano, A., Mendes, M., Gava, A.T., 2011. Carbono no Sistema Solo-Planta no Semiarido Brasileiro. Rev. Bras. Geogr. Física 06, 1233–1253.
Grilo, D.C., Petrere, E.F.B.V.G., n.d. Modeling Of Carbon Flow In Preserved And Degraded Caatinga Landscape And Agroecosystem 0–3.
Gusmão, A.C.V.L., Silva, B.B., Montenegro, S.M.G.L., Galvíncio, J.D., 2012. Determinação do saldo radiativo na Ilha Determination of the net radiation in Bananal Island , TO with orbital images 1107–1114.
Jensen, R.R., Hardin, P.J., Yu, G., 2009. Artificial Neural Networks and Remote Sensing. Geogr. Compass 3, 630–646.
Mayla, L., França, D.A., Antonio, J., Domiciano, J., 2012. Climate Characterization Using Water Balance And NDVI For City Of Paulista-PE. J. Hyperspectral Remote Sens. 02, 25–36.
Medeiros, Raimundo; Francisco, Paulo.; Bandeira, M.M., 2012. Balanço Hídrico Climatológico, em Decorrência do Aquecimento Global, no Município de Picuí - Semiárido Paraibano. Rev. Bras. Geogr. Física 59–72.
Morais, Y.C.B., Santos, B.O., Laurentino, M.L.S., 2011. Análise espaço-temporal e detecção de mudanças da cobertura vegetal no município de Floresta/PE – Brasil, utilizando o NDVI, in: XV Simpósio Brasileiro de Sensoriamento Remoto - SBSR. Curitiba, pp. 2128–2134.
Ott, K., Klepper, G., Lingner, S., Schäfer, A., Scheffran, J., Sprinz, D., Schröder, M., 2004. Reasoning Goals of Climate Protection. Specification of Article 2 UNFCCC, Report for the Federal Environmental Agency Berlin.
Res, C., Adams, R.M., Hurd, B.H., Lenhart, S., Leary, N., 1998. Effects of global climate change on agriculture : an interpretative review 11, 19–30.
Rosegrant, M.W., Ewing, M., Yohe, G., Burton, I., Huq, S., Valmonte-santos, R., 2008. Climate Change and Agriculture: Threats and Opportunities.
Silva, B.B., Galvíncio, J.D., Montenegro, S.M.G.L., Machado, C.C.C., Oliveira, L.M.M. De, Moura, M.S.B. de, 2013. Determinação Por Sensoriamento Remoto Da Produtividade Primária Bruta Do Perímetro Irrigado São Gonçalo – PB Universidade Federal de Pernambuco (UFPE), Recife , PE , Brasil Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Petrolina , PE , Brasil. Rev. Bras. Meteorol. 28, 57–64.
Soelma, M., Moura, B. De, Turco, N., Sandra, L., Souza, B. De. Impacts Of Two Climate Changes Cenarios On The Regional Variation Of The Decline In Milk Production In The Pernambuco State , Brasil.
Szwed, M., Karg, G., Pińskwar, I., Radziejewski, M., Graczyk, D., Kędziora, a., Kundzewicz, Z.W., 2010. Climate change and its effect on agriculture, water resources and human health sectors in Poland. Nat. Hazards Earth Syst. Sci. 10, 1725–1737.
Teixeira, a. H.D.C., Bastiaanssen, W.G.M., Ahmad, M.D., Bos, M.G., 2009. Reviewing SEBAL input parameters for assessing evapotranspiration and water productivity for the Low-Middle São Francisco River basin, Brazil. Agric. For. Meteorol. 149, 462–476.

Thornthwaite, C.W., 1948. An approach toward a rational classification of climate. Geogr. Rev. 38, 55–94.
USDA, 1935. Climate Change and Agriculture in the United States: Effects and Adaptation.

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Published

2015-03-03

How to Cite

Galvíncio, J. D., & França, L. M. (2015). IMPACT OF THE HYDRIC REPOSITION IN SOIL ON THE AGRICULTURE IN SEMI ARID REGION. Journal of Hyperspectral Remote Sensing, 4(6), 134–152. https://doi.org/10.5935/2237-2202.20140002

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