Digital Terrain Model
Mostrando 1-12 de 46 artigos, teses e dissertações.
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1. DETERMINATION OF SOIL VOLUME BY PLANIALTIMETRIC SURVEY METHODS
ABSTRACT Considering the importance of topographic surveys to determine soil volumes and study efficient and accessible alternatives for this operation, this study aimed to analyze methods and respective equipment for planialtimetric surveys to determine soil volume. An experimental grid was installed in an area locate in Fernandópolis, SP, Brazil, in which
Eng. Agríc.. Publicado em: 2020-04
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2. Individualization of soil classes by disaggregation of physiographic map polygons
Resumo: O objetivo deste trabalho foi desagregar os polígonos de mapas de unidades fisiográficas, de modo a individualizar as classes de solos ocorrentes em cada unidade, para representá-las como unidades de mapeamento simples de solos e gerar um mapa de solos com maior detalhe cartográfico que o mapa original, ampliando a utilidade desses dados em deman
Pesq. agropec. bras.. Publicado em: 14/10/2019
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3. Edaphic and Topographic Factors and their Relationship with Dendrometric Variation of Pinus Taeda L. in a High Altitude Subtropical Climate
ABSTRACT The study of the relationships between the yield potential of forest stands and the conditions offered for plant development is fundamental for the adequate management of the forest when aiming at sustainable high yields. However, these relations are not clear, especially in commercial forests, on rugged terrain where relationships between the lands
Rev. Bras. Ciênc. Solo. Publicado em: 06/12/2018
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4. High-resolution topography for Digital Terrain Model (DTM) in Keller Peninsula, Maritime Antarctica
Abstract High resolution topography (HRT) surveys is an important tool to model landscapes, especially in zones subjected to strong environmental changes, such as Antarctica, where landform is highly influenced by cryoclasty and permafrost melting. The aim of this work was to obtain a high accurate DTM for Keller Peninsula, Maritime Antarctica. The survey st
An. Acad. Bras. Ciênc.. Publicado em: 26/07/2018
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5. Prediction of Topsoil Texture Through Regression Trees and Multiple Linear Regressions
ABSTRACT: Users of soil survey products are mostly interested in understanding how soil properties vary in space and time. The aim of digital soil mapping (DSM) is to represent the spatial variability of soil properties quantitatively to support decision-making. The goal of this study is to evaluate DSM techniques (Regression Trees - RT and Multiple Linear R
Rev. Bras. Ciênc. Solo. Publicado em: 16/04/2018
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6. Spatial Disaggregation of Multi-Component Soil Map Units Using Legacy Data and a Tree-Based Algorithm in Southern Brazil
ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, whose spatial distribution within the map unit is not represented. Digital Soil Mapping tools supported by information from soil surveys make it possible to predict where these classes are located. The aim of this study was to develop a methodology to increase
Rev. Bras. Ciênc. Solo. Publicado em: 08/03/2018
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7. 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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8. QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
ABSTRACT: Relief characterization using a digital terrain model (DTM) is widely applied in erosion, soil and vegetation modeling. However, factors, such as acquisition technology and the spatial resolution of the digital model, affect modeling results. The aim of this study was to characterize noises in a DTM of the entire state of Santa Catarina recently ma
Eng. Agríc.. Publicado em: 2016-12
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9. Predicting Runoff Risks by Digital Soil Mapping
ABSTRACT Digital soil mapping (DSM) permits continuous mapping soil types and properties through raster formats considering variation within soil class, in contrast to the traditional mapping that only considers spatial variation of soils at the boundaries of delineated polygons. The objective of this study was to compare the performance of SoLIM (Soil Land
Rev. Bras. Ciênc. Solo. Publicado em: 03/11/2016
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10. Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error magnitude, and can differ in the behavior of terrain featur
Rev. Bras. Ciênc. Solo. Publicado em: 23/06/2016
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11. Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
ABSTRACT This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm). Mean prediction of error and root mean square of prediction error were used to assess the prediction methods. Two watersheds with contrasting soil-landscape features were studied, for which the p
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-06
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12. Utilização da técnica de co-krigagem com inclinação máxima e altitude do terreno no delineamento de zonas de manejo: granulometria do solo e disponibilidade hídrica / Using the technique of cokriging with maximum slope of the terrain and altitude in the delineation of management zones: grain size and soil water availability
In Brazil, few studied are related about soil sampling strategies in areas with more than one type soil and various features of the landscape, these strategies are important to map the spatial variability of physical attributes: size fractions, as well as the correlation of these with geomorphologic parameters: altitude and maximum slope of the sampled area
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 16/04/2012