Spatio-temporal monitoring of soil and plant indicators under forage cactus cultivation by geoprocessing in Brazilian semi-arid region. (April 2021)

• Record Type: Journal Article
• Authors: Silva, Marcos Vinícius da; Pandorfi, Héliton; Almeida, Gledson Luiz Pontes de; Lima, Renato Paiva de; Santos, Anderson dos; Jardim, Alexandre Maniçoba da Rosa Ferraz; Rolim, Mário Monteiro; Silva, Jhon Lennon Bezerra da; Batista, Pedro Henrique Dias; Silva, Rodes Angelo Batista da; Lopes, Pabricio Marcos Oliveira; Silva, Diego Castro da
• Is Part Of: Journal of South American earth sciences. Volume 107(2021)
• Publication Date: 2021-04
• Subjects: LAI -- Morphometric variables -- Physical attributes -- Satellite images -- SAVI; Geology -- Latin America -- Periodicals; Earth sciences -- Latin America -- Periodicals; Geology -- Antarctica -- Periodicals; Earth sciences -- Antarctica -- Periodicals; Geology -- Caribbean Area -- Periodicals; Earth sciences -- Caribbean Area -- Periodicals; Géologie -- Amérique latine -- Périodiques; Sciences de la terre -- Amérique latine -- Périodiques; Géologie -- Antarctique -- Périodiques; Sciences de la terre -- Antarctique -- Périodiques; Géologie -- Caraïbes (Région) -- Périodiques; Sciences de la terre -- Caraïbes (Région) -- Périodiques; Earth sciences; Geology; Antarctica; Caribbean Area; Latin America; Periodicals; 550.5
• DOI: 10.1016/j.jsames.2021.103155
• Languages: English
• ISSNs: 0895-9811

Abstract

Abstract: The objective of this work was to characterize the spectral responses of soil and plant indicators utilizing the Soil-Adjusted Vegetation Index (SAVI) and Leaf Area Index (LAI) in areas under the cultivation of 'Orelha de Elefante Mexicana' forage cactus ( Opuntia stricta (Haw.) Haw.) and 'Miúda' ( Nopalea cochenillifera (L.) Salm-Dyck) in Brazilian semi-arid region and to establish a model for characterizing vegetation cover in crop production areas. The research was conducted in Brazilian semi-arid region, which had two areas under the cultivation of forage cactus in the period from 2017 to 2020. Soil physical attributes and plant morphometric variables were recorded, concomitantly the determination of SAVI and LAI, from images from the Sentinel-2 satellite. The recorded data were submitted to principal component analysis. The cumulative total variance of the principal components showed satisfactory results for both areas. There was a correlation between plant height, the number of cladodes, and vegetation indices, selected to compose the predictive variables of the multiple regression model. It is recommended to use images from the Sentinel-2 satellite in small areas, given its lower spatial resolution in capturing different spectral responses. Highlights: The use of images from the Sentinel-2 satellite to analyze spatial dynamics in small areas is promising. Different genera of forage cactus with different morphometric characteristics, oscillate the vegetation indices. The spectral responses of the vegetation indexes, characterize the periods of cultivation and density of the forage cactus. Plants from semi-arid environments, in water deficit, have oscillations in the tissue of the adaxial epidermis. The principal component analysis is essential in choosing predictor variables in establishing a vegetation index.