Modeling Pinus Elliottii Growth With Multitemporal Landsat Data: A Study Case in Southern Brazil

Käfer, Pâmela Suélen; Rex, Franciel Eduardo; Breunig, Fábio Marcelo; Balbinot, Rafaelo

doi:10.1590/s1982-21702018000300019

Cited by 6 publications

(4 citation statements)

References 18 publications

(25 reference statements)

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“…On the other hand, the factor related to the saturation effect of the NDVI and EVI indices in applications on canopies with high biomass may also influence the attenuation of directional effects. In this sense, Käfer et al (2018), when analyzing the saturation time of vegetation indices throughout the productive cycle in the same management area, concluded that the NDVI presented saturation over the canopy at the age of 18 years, while the EVI saturated its response after the plantations completed 14 years. Thus, considering the age of the cultivars in 2019, around 30 years, they are above the response saturation limit of these indices.…”

Section: The Geographical Space In Analysismentioning

confidence: 99%

Directional Effects on the Spectral Response of Pinus Elliottii Stands Cultivated in Subtropical Latitudes

et al. 2023

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Remote sensing techniques and related products are an efficient and low-cost alternative of great potential for monitoring Pine crops. However, there are no conclusive studies on the magnitude of directional effects caused by variations in the geometry of data acquisition by large field-of-view satellite instruments face to the well-defined canopy architecture of Pine. This paper investigates the viewing geometry influence on the data acquisition of reflectance and vegetation indices used to monitor Pine stands. Two multitemporal series of reflectance measurements of the MOD09GA and MCD43A4 products, without and with the application of nadir normalization, respectively, were acquired and sampled according to the view zenith angle for pairs of consecutive dates with observations made in opposite directions. The influence of directional effects on the response of the Enhanced Vegetation Index, Normalized Difference Vegetation Index, and Wide Dynamic Range Vegetation Index was verified from analysis of variance (ANOVA). The results showed that the reflectance measurements were substantially influenced by the directional effects, showing lower values when calculating from the forward scattering direction, and higher values when obtained from the backscattering direction. From the three studied vegetation indices, the EVI was the most sensitive metric to directional effects. However, when calculating using normalized reflectance measurements to nadir, the directional influence on the EVI was greatly reduced when compared to the other two vegetation indices.

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Section: The Geographical Space In Analysismentioning

confidence: 99%

Directional Effects on the Spectral Response of Pinus Elliottii Stands Cultivated in Subtropical Latitudes

et al. 2023

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“…Em razão da área de estudo apresentar alta rotatividade de ciclos de cultivo, apresentando projetos de plantio com as mais variadas idades, optou-se por considerar como área de estudo apenas os povoamentos florestais com idades entre dezoito e quatro anos, correspondentes aos plantios realizados entre os anos de 2000 e 2014. Esta escolha considerou a realização de analises em talhões com dossel fechado, evitandose a ocorrência de mistura espectral oriunda da resposta do substrato e a saturação dos índices de vegetação (Käfer et al, 2018). Figura 1.…”

Section: Caracterização Da áRea De Estudounclassified

Efeito Topográfico sobre a Resposta Espectral de Povoamentos Florestais de Pinus taeda Linnaeus no Sul do Brasil

Gaida

Breunig

Perrando

2021

Rev. Bras. Geog. Fis.

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Este estudo tem como objetivo examinar a influência da variação sazonal da geometria da irradiância solar na resposta espectral de povoamentos florestais de Pinus taeda, localizados na Região Centro-Oeste do Estado de Santa Catarina, Brasil. A influência do efeito topográfico foi analisada por meio de medidas de refletância de superfície e índices de vegetação, obtidas a partir de três imagens MSI/Sentinel-2, adquiridas em baixo, médio e alto ângulo de elevação solar, no segundo semestre de 2018. A influência do efeito topográfico foi analisada a partir das oscilações de valor dos dados de sensoriamento remoto em comparação com as condições de iluminação, delineadas a partir das variações angulares de orientação de vertentes e declividade. Foram realizadas análises de correlação e regressão entre os dados espectrais e as condições de iluminação do terreno, definidas pelos valores do cosseno do ângulo de incidência. As medidas de refletância do dossel foram influenciadas diretamente pelo aspecto direcional da exposição a iluminação, e diminuições em seus valores foram identificadas nas porções do dossel com orientação contrária ao azimute solar (sul e sudoeste). Os índices de vegetação NDVI, WDRVI e NDRE, apresentaram valores superestimados nas porções sombreadas do dossel, devido às características espectrais dos dosséis do Pinus. O NDRE foi o índice menos sensível ao efeito topográfico, enquanto o EVI apresentou maior variação a ele associado. A aplicação da normalização topográfica mostrou-se eficaz em mitigar as diferenças entre os valores obtidos em diferentes condições de iluminação. Topographic effect on the spectral response of Pinus taeda Linnaeus forest stands in Southern Brazil A B S T R A C T This study aims to examine the influence of seasonal variation of solar irradiance geometry on the spectral response of Pinus taeda forest stands, located in the Midwest Region of Santa Catarina State, Brazil. The influence of the topographic effect was analyzed using surface reflectance and vegetation indices measurements, obtained from three MSI/Sentinel-2 images, acquired at low, medium, and high solar elevation angle, in the second semester of 2018. The influence of the topographic effect was analyzed from the value oscillations of remote sensing data compared to the illumination conditions, delineated from the angular variations of aspect and slope. Correlation and regression analyses were performed between the spectral data and the terrain illumination conditions, defined by the values of the cosine of the incidence angle. The canopy reflectance measurements were directly influenced by the directional aspect of the lighting exposure, and decreases in their values were identified in the portions of the canopy with orientation contrary to the solar azimuth (south). The vegetation indices NDVI, WDRVI, and NDRE, showed overestimated values in the shaded portions of the canopy, due to the spectral characteristics of the pine canopies. The NDRE was the least sensitive index to the topographic effect, while the EVI showed a greater variation associated with it. The application of the topographic effect correction proved to be effective in mitigating the differences between the values obtained under different lighting conditions.Key-words: remote sensing; Sentinel-2; forestry; solar geometry.

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“…Vegetation has been monitored traditionally by remote sensing through vegetation indices (IVs) (Käfer et al 2018). Between the available IVs, the most widely applied is the normalized difference vegetation index (NDVI) (Rouse, 1973), which is a numerical indicator adopted to analyze remote sensing measurements and assess whether the target being observed contains live green vegetation or not (Kumar, Shekhar, 2015).…”

Section: Introductionmentioning

confidence: 99%

Seasonal Assessment of Surface Temperature With Normalized Vegetation Index and Surface Albedo Over Pampa Biome

Käfer

Rocha

Diaz

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Land surface temperature (LST) governs many biophysical processes at the land-atmosphere interface and the relationship vegetation-LST has been the premise of many studies. This paper purposed to correlate LST with normalized difference vegetation index (NDVI) and surface albedo in the grasslands of Pampa biome during winter and summer seasons. Four Landsat 8 scenes with clear-sky conditions were acquired from the US Geological Survey website and NDVI and surface albedo were calculated. Afterwards, LST was obtained using Split-window (SW) algorithm. Results showed that LST in winter season exhibited less variations between pixels in comparison to summer, where the heterogeneity of the environment is significantly more detectable. LST retrieved from Landsat 8 data was consistent with the actual temperature measured in the field, with differences varying between 1–1.6 K. The LST-Vegetation relationship in the Pampa grasslands varies with the season so that caution must be taken in assuming a regular behaviour between LST and remote sensing vegetation variables, such as empirical relationships that are widely used in many scientific fields.

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Modeling Pinus Elliottii Growth With Multitemporal Landsat Data: A Study Case in Southern Brazil

Cited by 6 publications

References 18 publications

Directional Effects on the Spectral Response of Pinus Elliottii Stands Cultivated in Subtropical Latitudes

Directional Effects on the Spectral Response of Pinus Elliottii Stands Cultivated in Subtropical Latitudes

Efeito Topográfico sobre a Resposta Espectral de Povoamentos Florestais de Pinus taeda Linnaeus no Sul do Brasil

Seasonal Assessment of Surface Temperature With Normalized Vegetation Index and Surface Albedo Over Pampa Biome

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