Redes neurais artificiais para a modelagem do volume de madeira e biomassa do cerradão com dados de satélite
作者： Eder Pereira Miguel , Alba Valéria Rezende , Fabrício Assis Leal , Eraldo Aparecido Trondoli Matricardi , Ailton Teixeira do Vale
DOI: 10.1590/S0100-204X2015000900012
关键词:
摘要: The objective of this work was to evaluate the effectiveness regression models and artificial neural networks (ANNs) in predicting wood volume aboveground biomass arboreal vegetation area tall Cerrado (a forest, savanna‑like vegetation). Wood were estimated with allometric equations developed for studied area. indices, as predictor variables, from LISS‑III sensor imagery, basal determined field measurements. Equation precision verified by correlation between observed values (r), standard error estimate (Syx), residual plot. total bole (0.96 0.97 r, 11.92 9.72% Syx, respectively), as well (0.91 0.92 22.73 16.80% respectively) showed good adjustments. also adjustments both (0.99 0,99 4.93 4.83% Syx) (0.97 0.98 8.92 7.96% respectively). Basal indices effective estimating cerrado vegetation. Measured did not differ statistically predicted (χ² ns ); however, ANNs are more accurate.
cabdirect.org
sci-hub.se 参考文章(31)
Alexandro Solórzano, José Roberto Rodrigues Pinto, Jeanine Maria Felfili, John Du Vall Hay, Perfil florístico e estrutural do componente lenhoso em seis áreas de cerradão ao longo do bioma Cerrado Acta Botanica Brasilica. ,vol. 26, pp. 328- 341 ,(2012) , 10.1590/S0102-33062012000200009
Emerson Roberto Schoeninger, Uso de redes neurais artificiais para mapeamento de biomassa e carbono organico no componente arboreo de uma floresta ombrofila densa AMBIÊNCIA. ,vol. 4, pp. 179- 195 ,(2013)
Luciano Farinha Watzlawick, Flávio Felipe Kirchner, Carlos Roberto Sanquetta, Estimativa de biomassa e carbono em floresta com araucaria utilizando imagens do satélite Ikonos II. Ciencia Florestal. ,vol. 19, pp. 169- 181 ,(2009) , 10.5902/19805098408
Alfredo R Huete, None, A soil-adjusted vegetation index (SAVI) Remote Sensing of Environment. ,vol. 25, pp. 295- 309 ,(1988) , 10.1016/0034-4257(88)90106-X
P. Muukkonen, J. Heiskanen, Estimating biomass for boreal forests using ASTER satellite data combined with standwise forest inventory data Remote Sensing of Environment. ,vol. 99, pp. 434- 447 ,(2005) , 10.1016/J.RSE.2005.09.011
Eric Bastos Gorgens, Helio Garcia Leite, Heleno do Nascimento Santos, José Marinaldo Gleriani, Estimação do volume de árvores utilizando redes neurais artificiais Revista Arvore. ,vol. 33, pp. 1141- 1147 ,(2009) , 10.1590/S0100-67622009000600016
Livia Rasche, Lorenz Fahse, Harald Bugmann, Key factors affecting the future provision of tree-based forest ecosystem goods and services Climatic Change. ,vol. 118, pp. 579- 593 ,(2013) , 10.1007/S10584-012-0664-5
Frederico Augusto Guimarães Guilherme, Jimi Naoki Nakajima, Estrutura da vegetação arbórea de um remanescente ecotonal urbano floresta-savana no Parque do Sabiá, em Uberlândia, MG Revista Arvore. ,vol. 31, pp. 329- 338 ,(2007) , 10.1590/S0100-67622007000200016
M.E.J. Cutler, D.S. Boyd, G.M. Foody, A. Vetrivel, Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions ISPRS Journal of Photogrammetry and Remote Sensing. ,vol. 70, pp. 66- 77 ,(2012) , 10.1016/J.ISPRSJPRS.2012.03.011
Antonio Santana Ferraz, Vicente Paulo Soares, Carlos Pedro Boechat Soares, Carlos Antônio Alvares Soares Ribeiro, Daniel Henrique Breda Binoti, Hélio Garcia Leite, Estimativa do estoque de biomassa em um fragmento florestal usando imagens orbitais Floresta e Ambiente. ,vol. 21, pp. 286- 296 ,(2014) , 10.1590/2179-8087.052213