Spatial Models
Mostrando 1-12 de 482 artigos, teses e dissertações.
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1. PREDICTIVE MODELS OF CHLOROPHYLL CONTENT IN SUGARCANE SEEDLINGS USING SPECTRAL IMAGES
ABSTRACT Chlorophyll content is a widely used parameter for nutritional status diagnosis in sugarcane. This study aimed to develop a predictive model of chlorophyll content in sugarcane seedlings using spectral imagery analysis within the electromagnetic spectrum visible range. The experiment was carried out in a split-plot design, with two fertilization rat
Eng. Agríc.. Publicado em: 2021-08
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2. ASSESSMENT OF SOIL LOSS SUSCEPTIBILITY IN SANTA RITA WATERSHED IN SOUTHERN BRAZIL
ABSTRACT Estimation of soil loss susceptibility is of great importance for the management of watersheds. Thus, several models for soil loss prediction have been proposed. This study estimated the total annual soil loss for the Santa Rita watershed, located in southern Brazil, using the Revised Universal Soil Loss Equation. In addition, a classification to so
Eng. Agríc.. Publicado em: 2021-08
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3. Limnological layers improve species distribution modeling of aquatic macrophytes at fine-spatial resolution
ABSTRACT Species distribution modeling (SDM) studies of aquatic macrophytes are still attached to methodological paradigms focused on terrestrial plants, such as the use of bioclimatic layers. Our goal was to evaluate the applicability of this paradigm based on a SDM study of Egeria densa, Pontederia crassipes, and Salvinia auriculata in the São Francisco r
Acta Bot. Bras.. Publicado em: 2021-03
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4. NUGGET EFFECT INFLUENCE ON SPATIAL VARIABILITY OF AGRICULTURAL DATA
ABSTRACT Spatial variability description of soil chemical properties by thematic maps depends substantially on suitable geostatistical models. One of the parameters composing a geostatistical model is nugget effect. This study aimed to evaluate the simultaneous influence of nugget effect and sampling design on geostatistical model estimation and estimation o
Eng. Agríc.. Publicado em: 2020-02
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5. PEDOTRANSFER FUNCTION TO ESTIMATE THE SOIL STRUCTURAL “S” INDEX AND SPATIAL VARIABILITY IN AN OXISOL WITHIN A LIVESTOCK FARMING SYSTEM
ABSTRACT Various attributes are often required to build soil quality indicators. However, determining these attributes is time-consuming and requires several specific devices. Thus, it is desirable to develop indexes that express soil quality based on easily determined attributes. The objective of this study was to investigate the spatial variability of the
Eng. Agríc.. Publicado em: 2020-02
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6. SIMULATION AND EXPERIMENTAL INVESTIGATION OF POWER CONSUMPTION, GAS DISPERSION AND MASS TRANSFER COEFFICIENT IN A MULTI-PHASE STIRRED BIOREACTOR
Abstract Bio-oxidation leaching of refractory gold concentrate was carried out in a typical gas-liquid-solid three-phase stirred bioreactor. The bacteria, which adhered to solid particle surfaces and spread over the liquid phase, require sufficient oxygen and nutrient of carbon and nitrogen, and then the mass transfer rate should be considered. However, the
Braz. J. Chem. Eng.. Publicado em: 13/01/2020
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7. Modelos estatísticos para geração da Planta de Valores Genéricos: uma aplicação em município de pequeno porte
Resumo Importante fonte de arrecadação dos municípios, o IPTU tem como base de cálculo o valor venal do imóvel, estabelecido pela Planta de Valores Genéricos (PVG), a qual está desatualizada na maior parte dos municípios brasileiros. Assim, o objetivo deste trabalho foi utilizar a econometria espacial para gerar um modelo que permita determinar o val
urbe, Rev. Bras. Gest. Urbana. Publicado em: 09/12/2019
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8. PREDIÇÃO DE CENÁRIO FUTURO UTILIZANDO AUTÔMATOS CELULARES E CADEIAS DE MARKOV EM ÁREA DE EXPANSÃO DA SILVICULTURA SOBRE O CERRADO BRASILEIRO
Resumo Os modelos preditivos para detecção de mudanças na paisagem tem sido utilizados como instrumento relevante de aporte ao planejamento e análise ambiental. Diversos modelos para simulação de cenários futuros coexistem na literatura, contudo o método que combina as Cadeias de Markov com os autômatos celulares tem demonstrado resultados excelente
Mercator (Fortaleza). Publicado em: 09/12/2019
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9. VERTICAL ACCURACY ASSESSMENT OF THE PROCESSED SRTM DATA FOR THE BRAZILIAN TERRITORY
Abstract: This research aims to determine the vertical accuracy of the Interferometric Digital Elevation Model (DEM) obtained from the processed Shuttle Radar Topographic Mission (SRTM) data. The research compared the SRTM-GL1 (Shuttle Radar Topographic Mission-Global 1) with 30-meter resolution and the following 90-meter resolution models: (a) EMBRAPA; (b)
Bol. Ciênc. Geod.. Publicado em: 02/12/2019
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10. Prediction of soil classes in a complex landscape in Southern Brazil
Resumo: O objetivo deste trabalho foi avaliar o uso da seleção de covariáveis por conhecimento especializado no desempenho de modelos de predição de classes de solos em uma paisagem complexa, para identificar o melhor modelo preditivo para o mapeamento digital de solos na região Sul do Brasil. Um total de 164 pontos foram amostrados em campo, com uso d
Pesq. agropec. bras.. Publicado em: 11/11/2019
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11. Spatial distribution of wood volume in Brazilian savannas
Abstract: Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in the Savanna biome, in the state of Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate regression, and regression kriging. Our study contributes to a better understanding of the factor
An. Acad. Bras. Ciênc.. Publicado em: 21/10/2019
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12. GEOGRAPHIC MODELLING OF WIND AND SOLAR ENERGY POTENTIAL
Abstract Reducing ‘Greenhouse Gas’ emissions, particularly of CO2, is a global commitment which has gained predominance with the emergence of sources that generate renewable energy as an alternative to traditional energy produced through fossil fuels. Renewable or ‘soft’ forms of energy are all those which use the elements of nature - for example, th
Bol. Ciênc. Geod.. Publicado em: 14/10/2019