Comparison of NDVI for different species of eucalyptus
Abstract
The study aimed to analyzed the vegetation from NDVI (Normalized Difference Vegetation Index) dynamics in Eucalyptus dunnii and Eucalyptus Urograndis comparing the NDVI generated from the digital numbers obtained from the conversion to apparent reflectance. The satelite images of TM/Landsat 5 sensor was used. Converting digital numbers (DN) to reflectance values and the calculation of the NDVI were obtained through spatial analysis operations Algebraic Geoprocessing Language (LEGAL). It was observed that NDVI values generated from the reflectances are greater than those determined by the DN. This observed difference is physically justified by the corrections made in the image of some parameters such as the minimum and maximum sensor radiances and mean stratospheric solar irradiance. E. dunnii presented higher values of NDVI when compared to E. urograndis, indicating that this is a useful tool when the objective is to identify the species, facilitating the management of the area.
Downloads
References
BASTIAANSSEN, W.et al. SEBAL -Surface Energy Balance Algorithms for Land: Advanced Training and UsersManual. Idaho: Idaho Department of Water Resources, 2002. 98p.
CAMARA, G. et al. SPRING: Integrating remote sensing and GIS by object-oriented data modelling. Computers & Graphics, 20: (3) 395-403, May-Jun 1996. DOI: https://doi.org/10.1016/0097-8493(96)00008-8
CHAVES, M.E.D. et al. Análise comparativado NDVI estimado a partir de valores de níveis digitais originais e de reflectâncias aparente e de superfície. In: XVI SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO; 2013; Foz do Iguaçu. Anais...São José dos Campos: INPE; 2013. p. 8261-8268.
CHANDER, G. et al. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113, p. 893–903, 2009. DOI: https://doi.org/10.1016/j.rse.2009.01.007
EPIPHANIO, J.C.N. et al. Índices de vegetação no sensoriamento remoto da cultura do feijão. Pesquisa agropecuária brasileira, Brasilia, v. 31, n. 6, p.445-454, 1996.
ESQUERDO, J.C.D.M. Utilização de perfis multi-temporais do NDVI/AVHRR no acompanhamento da safra de soja no oeste do Paraná. Campinas: UNICAMP, 2007. 186 p. Tese (Doutorado em Engenharia Agrícola) –Faculdade de Engenharia Agrícola, Universidade Estadual de Campinas.
GLOBAL LAND COVER FACILITY. Global Land Cover Facility [home page]. Available at: <http://glcf.umiacs.umd.edu/index.shtml>. Acceso en: Dec. 2012.
HOLBEN, B.N. Characterization of maximum value composites from temporal AVHRR data. International Journal of Remote Sensing, v. 7, n. 11, p.1417-1434, 1986. DOI: https://doi.org/10.1080/01431168608948945
IBÁ –Indústria Brasileira de Árvores. Relatório IBA 2017. São Paulo. 2017
JENSEN, J.R. Sensoriamento Remoto do Ambiente: uma perspectiva em recursos terrestres. 1 ed. São José dos Campos: Parêntese; 2009. 604 p.
PESQ. AGROP. GAÚCHA, Porto Alegre, v.22, ns.1/2, p. 39-48, 2016
MARKHAM, B. L.; BARKER, J. L. Landsat MSS and TM Post-Calibration Dynamic Ranges, Exoatmospheric Reflectances and At-Satellite Temperatures. EOSAT Landsat Technical Notes, n. 1, 1986.
NATIONAL AERONAUTICS AND SPACE ADMINISTRATION (NASA). Landsat 5 (L5) Thematic Mapper (TM) calibration parameter files (CPFs). Disponível em: <http://landsat.usgs.gov/science_L5_cpf.php>.
PONZONI, F.J.; DOS SANTOS, S.B. Conversão de números digitais de imagens orbitais em valores de FRB de superfície. Boletim de Ciências Geodésicas, v. 14, n. 4, p.541-556, 2008.
PONZONI, F.J.; SHIMABUKURO, Y.E. Sensoriamento Remoto no Estudo da Vegetação. 1 ed. São Paulo: Parêntese; 2007. 144 p.
ROBINOVE, C.J. Computation with physical values from Landsat digital data. Photogrammetric Engineering and Remote Sensing, v. 48, n. 5, p.781–784, 1982.
ROUSE, J.W. et al. Monitoring vegetation systems in the Great Plains with ERTS. In THIRD EARTH RESOURCES TECHNOLOGY SATELLITE SYMPOSIUM, 3,1973; Washington, USA. Anais... Washington: NASA, 1973. p.309-317.
The authors declare that the work has not been previously published, nor sent simultaneously for publication in another journal and that they agree with the submission, content and transfer of the publication rights of the article in question to the scientific journal Pesquisa Agropecuária Gaúcha - PAG. The authors assume full responsibility for the originality of the article, and may incur on them any charges arising from claims by third parties in relation to the authorship of the article. The full reproduction of the journal's articles in other free-to-use electronic media is permitted under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license.