Digital Elevation Models
Mostrando 1-12 de 57 artigos, teses e dissertações.
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1. ESTIMATION OF MAIZE BIOMASS USING UNMANNED AERIAL VEHICLES
ABSTRACT Unmanned aerial vehicles (UAVs) are a promising tool for technology development and transfer and for the economic success of the agricultural sector. The objective of this study is to assess the validity of biomass estimation in a commercial maize plantation using aerial images obtained by a UAV. The proposed methodology involved analyzing images ac
Eng. Agríc.. Publicado em: 09/12/2019
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2. 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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3. 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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4. Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
ABSTRACT The use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) techniques can contribute to increase the accessibility, accuracy, and resolution of Digital Elevation Models (DEMs) used for soil erosion monitoring. This study aimed to evaluate the use of four DEMs obtained over a year to monitor erosion processes in an erosion-degraded ar
Rev. Bras. Ciênc. Solo. Publicado em: 14/10/2019
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5. Water Basin Delimitation in a Relief Transition Region
ABSTRACT The objective of this work was to evaluate the performance accuracy of digital elevation models in delimiting a water basin located in the relief transition region between the São Francisco Plateau, São Franciscana Depression and the Espinhaço mountain range. Four digital elevation models with data from the Shuttle Radar Topographic Mission (SRTM
Floresta Ambient.. Publicado em: 30/05/2019
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6. COMPARISON BETWEEN ABSOLUTE AND RELATIVE POSITIONAL ACCURACY ASSESSMENT - A CASE STUDY APPLIED TO DIGITAL ELEVATION MODELS
Resumo Este artigo apresenta um estudo comparativo entre os métodos absoluto e relativo para a avaliação de acurácia posicional altimétrica de Modelos Digitais de Elevação (MDE). Para o embasamento teórico desta pesquisa, foram apresentadas as definições de acurácia (exatidão) e precisão, bem como conceitos relativos à acurácia posicional abso
Bol. Ciênc. Geod.. Publicado em: 18/04/2019
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7. Assessment of digital elevation models to obtain morphometric characteristics in relief transition region
Resumo Objetivou-se com este estudo, avaliar o desempenho de MDEs na caracterização morfométrica de uma bacia hidrográfica situada em região de transição entre os relevos Planalto São Franciscana, Depressão São Franciscana e Serra do Espinhaço. Para o estudo, foram gerados quatro MDEs por interpolação dos dados do SRTM e de cartas topográficas,
Rev. Ambient. Água. Publicado em: 04/02/2019
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8. Selection of Environmental Covariates for Classifier Training Applied in Digital Soil Mapping
ABSTRACT A large number of predictor variables can be used in digital soil mapping; however, the presence of irrelevant covariables may compromise the prediction of soil types. Thus, algorithms can be applied to select the most relevant predictors. This study aimed to compare three covariable selection systems (two filter algorithms and one wrapper algorithm
Rev. Bras. Ciênc. Solo. Publicado em: 07/01/2019
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9. Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being used for different soil mapping purposes. Considering the variety of models available, it is important to know their performance in relation to soil data and environmental variables involved in soil mapping. This paper investigated the performance of
Rev. Bras. Ciênc. Solo. Publicado em: 14/11/2018
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10. Morphology and morphometry of upland lakes over lateritic crust, Serra dos Carajás, southeastern Amazon region
ABSTRACT High-resolution satellite images, digital elevation models, bathymetric and sedimentological surveys coupled with statistical analysis were used to understand the physical environment and discuss their influence on water quality of the five upland lakes of Serra Sul dos Carajás, southeast Amazonia. The lakes have mid-altitude ranges (elevation), ve
An. Acad. Bras. Ciênc.. Publicado em: 17/05/2018
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11. Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica
ABSTRACT: The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Penins
Rev. Bras. Ciênc. Solo. Publicado em: 08/01/2018
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12. Pedological Heterogeneity of Soils Developed from Lithologies of the Pirambóia, Sanga-do-Cabral, and Guará Geological Formations in Southern Brazil
ABSTRACT The source material is one of the factors that most influence soil genesis and the mainly responsible for the nature, composition, and behavior of the soil. Given the geological complexity of the Santa Maria River basin, the objective of this study was to investigate whether the new lithologies described recently may be responsible for a greater var
Rev. Bras. Ciênc. Solo. Publicado em: 31/07/2017