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Lourenço, Valeria R.; Montenegro, Abelardo A. de A.; Carvalho, Ailton A. de; Sousa, Lizandra de B. de; Almeida, Thayná A. B.; Almeida, Thiago F. S. de; Vilar, Bárbara P.
Revista Brasileira de Engenharia Agrícola e Ambiental, 11/2023, Volume: 27, Issue: 11Journal Article
ABSTRACT The study aimed to characterize the spatial structure of variability of biophysical indexes of vegetation through images obtained by Unmanned Aerial Vehicles under strong heterogeneity and anisotropy, using geostatistical procedures. Plots with different types and densities of culture were evaluated in a didactic vegetable garden. Five vegetation indexes obtained from aerial multispectral camera images were evaluated parallel with geostatistical analysis and anisotropy investigation for multiscale spatial modeling. For the studied domain, geometric anisotropy was identified for the biometric indexes. The spherical model presented a better fit when anisotropy was not considered, whereas the exponential model had the best performance in the anisotropic analysis. Contrasting targets were better identified in multispectral images and considering anisotropy. The Soil-Adjusted Vegetation Index is recommended for similar applications. RESUMO O estudo objetivou caracterizar a estrutura espacial de variabilidade dos índices biofísicos de vegetação através de imagens obtidas por Veículos Aéreos Não Tripulados, sob forte heterogeneidade e anisotropia, usando procedimentos geoestatísticos. Avaliou-se parcelas com diferentes tipos e densidades de cultura em horta didática. Avaliaram-se cinco índices de vegetação obtidos de imagens aéreas de câmera multiespectral, em paralelo com análises geoestatísticas e investigação de anisotropia para modelagem espacial em multiescala. Para o domínio estudado, foi identificada anisotropia geométrica para os índices biométricos. O modelo esférico apresentou melhor ajuste, quando não se considerou anisotropia, enquanto o modelo exponencial foi o de melhor desempenho na análise anisotrópica. Alvos contrastantes foram melhor identificados nas imagens multiespectrais, e considerando a anisotropia. O Indice de Vegetação Ajustado ao Solo é recomendado para aplicações similares.
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