Consulta: subjectFacets:"Digital soil mapping"
Registros recuperados: 19
Data/hora: 09/06/2024 06:45:35

QUALITY OF A DIGITAL TERRAIN MODEL FOR SANTA CATARINA STATE
Provedor de dados: 70
Autores: Caten,Alexandre Ten; Dalmolin,Ricardo S. D.; Boeing,Evandro L.; Vitalis,Fernando A.; Silva,Walquíria C. Da.
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 made available through the state's Sustainable Economic Development Secretary and to evaluate different methods of interpolation and smoothing of the original 1 m resolution to a new digital model with a spatial resolution of 15 m. Using the SAGA GIS program, spurious data that appeared as peaks and sinks were removed from the digital model. Of five processing procedures, the following three were used for...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Digital elevation model; Geomorphometry; Slope; Digital soil mapping; Aerial imagery.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162016000601261

GlobalSoilMap.net: a new digital soil map of the world.
Provedor de dados: 14
Autores: HARTEMINK, A. E.; McBRATNEY, A. B.; HEMPEL, J.; MENDONÇA-SANTOS, M. de L.; McKENZIE, N.; SANCHEZ, P.; GAN-LIN, Z.; MONTANARELLA, L.
Knowledge of the world soil resources is fragmented and dated. There is a need for accurate, up-to-date and spatially referenced soil information as frequently expressed by the modelling community, farmers and land users, and policy and decision makers. This need coincides with an enormous leap in technologies that allow for accurately collecting and predicting soil properties. We are working on a new digital soil map of the world using state-of-the-art and emerging technologies for soil mapping and predicting soil properties. Our aim is to map the global land surface in 5 years ? the resulting maps will depict the primary functional soil properties at a grid resolution of 90×90 m. They will be freely available, web-accessible and widely distributed and...
Tipo: Artigo de divulgação na mídia (INFOTECA-E)
Palavras-chave: Digital soil mapping; Mapeamento digital.
Ano: 2009
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/696753

Individualization of soil classes by disaggregation of physiographic map polygons
Provedor de dados: 86
Autores: Costa,José Janderson Ferreira; Giasson,Elvio; Silva,Elisângela Benedet da; Campos,Alcinei Ribeiro; Machado,Israel Rosa; Bonfatti,Benito Roberto; Bacic,Ivan Luiz Zilli.
Abstract: The objective of this work was to disaggregate the polygons of physiographic map units in order to individualize the soil classes in each one, representing them as simple soil map units and generating a more detailed soil map than the original one, making these data more useful for future reference. A physiographic map, on a 1:25,000 scale, of the Tarumãzinho watershed, located in the municipality of Águas Frias, in the state of Santa Catarina, Brazil, was used. For disaggregation, three geomorphometric parameters were applied: slope and landforms, both derived from the digital terrain model; and an elevation map. The boundaries of the physiographic units and the elevation, slope, and landform maps were subjected to cross tabulation to identify...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Decision trees; Digital soil mapping; Pedology; Soil class prediction.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103807

Prediction of soil classes in a complex landscape in Southern Brazil
Provedor de dados: 86
Autores: Moura-Bueno,Jean Michel; Dalmolin,Ricardo Simão Diniz; Horst-Heinen,Taciara Zborowski; Cancian,Luciano Campos; Schenato,Ricardo Bergamo; Dotto,André Carnieletto; Flores,Carlos Alberto.
Abstract: The objective of this work was to evaluate the use of covariate selection by expert knowledge on the performance of soil class predictive models in a complex landscape, in order to identify the best predictive model for digital soil mapping in the Southern region of Brazil. A total of 164 points were sampled in the field using the conditioned Latin hypercube, considering the covariates elevation, slope, and aspect. From the digital elevation model, environmental covariates were extracted, composing three sets, made up of: 21 covariates, covariates after the exclusion of the multicollinear ones, and covariates chosen by expert knowledge. Prediction was performed with the following models: decision tree, random forest, multiple logistic regression,...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Digital soil mapping; Pedometry; Predictive covariates; Predictive models; Soil-landscape relationship.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000103808

Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil
Provedor de dados: 86
Autores: Vasques,Gustavo Mattos; Coelho,Maurício Rizzato; Dart,Ricardo Oliveira; Oliveira,Ronaldo Pereira; Teixeira,Wenceslau Geraldes.
Abstract The objective of this work was to compare ordinary kriging with regression kriging to map soil properties at different depths in a tropical dry forest area in Brazil. The 11 soil properties evaluated were: organic carbon content and stock; bulk density; clay, sand, and silt contents; cation exchange capacity; pH; water retention at field capacity and at permanent wilting point; and available water. Samples were taken from 327 sites at 0.0-0.10, 0.10-0.20, and 0.20-0.40-m depths, in a tropical dry forest area of 102 km2. Stepwise linear regression models for particle-size fractions and water retention properties had the best fit. Relief and parent material covariates were selected in 31 of the 33 models (11 properties at three depths) and...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Caatinga; Digital soil mapping; Gamma radiometric survey; Geostatistics; Pedometrics.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2016000901371

Spatial Disaggregation of Multi-Component Soil Map Units Using Legacy Data and a Tree-Based Algorithm in Southern Brazil
Provedor de dados: 90
Autores: Machado,Israel Rosa; Giasson,Elvio; Campos,Alcinei Ribeiro; Costa,José Janderson Ferreira; Silva,Elisângela Benedet da; Bonfatti,Benito Roberto.
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 the detail of conventional soil maps by means of spatial disaggregation of multi-component map units and to predict the spatial location of the derived soil classes. Three digital maps of terrain variables - slope, landforms, and topographic wetness index - were correlated with the soil map and 72 georeferenced profiles from the Porto Alegre soil survey. Explicit rules that expressed regional...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Digital soil mapping; Soil-landscape relationships; Decision trees.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100303

Multinomial Logistic Regression and Random Forest Classifiers in Digital Mapping of Soil Classes in Western Haiti
Provedor de dados: 90
Autores: Jeune,Wesly; Francelino,Márcio Rocha; Souza,Eliana de; Fernandes Filho,Elpídio Inácio; Rocha,Genelício Crusoé.
ABSTRACT Digital soil mapping (DSM) has been increasingly used to provide quick and accurate spatial information to support decision-makers in agricultural and environmental planning programs. In this study, we used a DSM approach to map soils in western Haiti and compare the performance of the Multinomial Logistic Regression (MLR) with Random Forest (RF) to classify the soils. The study area of 4,300 km2 is mostly composed of diverse limestone rocks, alluvial deposits, and, to a lesser extent, basalt. A soil survey was conducted whereby soils were described and classified at 258 sites. Soil samples were collected and subjected to physical and chemical analyses. Recursive Feature Elimination (RFE) was used to select the most important covariates from...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Auxiliary data; Digital soil mapping; Soil survey; Data-mining.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100306

Satellite Spectral Data on the Quantification of Soil Particle Size from Different Geographic Regions
Provedor de dados: 90
Autores: Demattê,José Alexandre Melo; Guimarães,Clécia Cristina Barbosa; Fongaro,Caio Troula; Vidoy,Emmily Larissa Felipe; Sayão,Veridiana Maria; Dotto,André Carnieletto; Santos,Natasha Valadares dos.
ABSTRACT: The study of soils, including their physical and chemical properties, is essential for agricultural management. Soil quality must be maintained to ensure sustainable production of food and conservation of natural resources. In this context, soil mapping is important to provide spatial information, which can be performed using remote sensing (RS) techniques. Modeling through use of satellite data is uncertain regarding the amplitude of replicability of the models. The aim of this study was to develop a quantification model for soil texture based on reflectance information from a continuum of bare soils, obtained by overlapping multi-temporal satellite images, and apply this model to an unknown region to evaluate its applicability. Spectral data...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Soil texture; Remote sensing; Bare soil mask; Multiple linear regression; Digital soil mapping.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100310

Is It Possible to Classify Topsoil Texture Using a Sensor Located 800 km Away from the Surface?
Provedor de dados: 90
Autores: Demattê,José Alexandre Melo; Alves,Marcelo Rodrigo; Terra,Fabricio da Silva; Bosquilia,Raoni Wainer Duarte; Fongaro,Caio Troula; Barros,Pedro Paulo da Silva.
ABSTRACT It is often difficult for pedologists to “see” topsoils indicating differences in properties such as soil particle size. Satellite images are important for obtaining quick information for large areas. However, mapping extensive areas of bare soil using a single image is difficult since most areas are usually covered by vegetation. Thus, the aim of this study was to develop a strategy to determine bare soil areas by fusing multi-temporal satellite images and classifying them according to soil textures. Three different areas located in two states in Brazil, with a total of 65,000 ha, were evaluated. Landsat images of a specific dry month (September) over five consecutive years were collected, processed, and subjected to atmospheric correction...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Bare soils; Satellite images; Spectral sensing; Multi-temporal images; Digital soil mapping; Soil remote sensing.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100311

Prediction of Topsoil Texture Through Regression Trees and Multiple Linear Regressions
Provedor de dados: 90
Autores: Pinheiro,Helena Saraiva Koenow; Carvalho Junior,Waldir de; Chagas,César da Silva; Anjos,Lúcia Helena Cunha dos; Owens,Phillip Ray.
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 Regressions - MLR) and the ability of these tools to predict mineral fraction content under a wide variability of landscapes. The study site was the entire Guapi-Macacu watershed (1,250.78 km2) in the state of Rio de Janeiro in the Southeast region of Brazil. Terrain attributes and remote sensing data (with 30 m of spatial resolution) were used to represent landscape co-variables selected as an input in...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Terrain attributes; Soil depth functions; Digital soil mapping; Regression models.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100304

Building predictive models of soil particle-size distribution
Provedor de dados: 90
Autores: Samuel-Rosa,Alessandro; Dalmolin,Ricardo Simão Diniz; Miguel,Pablo.
Is it possible to build predictive models (PMs) of soil particle-size distribution (psd) in a region with complex geology and a young and unstable land-surface? The main objective of this study was to answer this question. A set of 339 soil samples from a small slope catchment in Southern Brazil was used to build PMs of psd in the surface soil layer. Multiple linear regression models were constructed using terrain attributes (elevation, slope, catchment area, convergence index, and topographic wetness index). The PMs explained more than half of the data variance. This performance is similar to (or even better than) that of the conventional soil mapping approach. For some size fractions, the PM performance can reach 70 %. Largest uncertainties were observed...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Digital soil mapping; Terrain attributes; Multiple linear regression; Cross-validation; Additive log-ratio.
Ano: 2013
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832013000200013

Pedological mapping through integration of digital terrain models spectral sensing and photopedology
Provedor de dados: 124
Autores: Demattê,José A. M.; Rizzo,Rodnei; Botteon,Victor Wilson.
ABSTRACTNew tools for soil mapping are needed to increase speed and accuracy of pedological mapping processes. This study integrated various technologies to map soils of the Piracicaba region in São Paulo State, Brazil. Each technology was expected to provide different information to design a detailed map. We carried out field survey and soil sampling for laboratory analysis. Initially, we conducted field visits to obtain soil patterns of a reference site. We applied the acquired patterns to an validation site, based solely on information obtained from remote sensing and cartographic databases, namely LANDSAT 7/ETM, digital elevation models (DEM) and aerial photographs. We integrated the information from each product to generate the map of the validation...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Aerial photographs; Digital terrain models; Satellite images; Digital soil mapping.
Ano: 2015
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000400669

Soil type spatial prediction from Random Forest: different training datasets, transferability, accuracy and uncertainty assessment
Provedor de dados: 63
Autores: Machado,Diego Fernandes Terra; Silva,Sérgio Henrique Godinho; Curi,Nilton; Menezes,Michele Duarte de.
ABSTRACT: Different uses of soil legacy data such as training dataset as well as the selection of soil environmental covariables could drive the accuracy of machine learning techniques. Thus, this study evaluated the ability of the Random Forest algorithm to predict soil classes from different training datasets and extrapolate such information to a similar area. The following training datasets were extracted from legacy data: a) point data composed of 53 soil samples; b) 30 m buffer around the soil samples, and soil map polygons excluding: c) 20 m; and d) 30 m from the boundaries of polygons. These four datasets were submitted to principal component analysis (PCA) to reduce multidimensionality. Each dataset derived a new one. Different combinations of...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Digital soil mapping; Soil survey; Legacy data.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001300243

Open legacy soil survey data in Brazil: geospatial data quality and how to improve it
Provedor de dados: 63
Autores: Samuel-Rosa,Alessandro; Dalmolin,Ricardo Simão Diniz; Moura-Bueno,Jean Michel; Teixeira,Wenceslau Geraldes; Alba,José Maria Filippini.
ABSTRACT: Spatial soil data applications require sound geospatial data including coordinates and a coordinate reference system. However, when it comes to legacy soil data we frequently find them to be missing or incorrect. This paper assesses the quality of the geospatial data of legacy soil observations in Brazil, and evaluates geospatial data sources (survey reports, maps, spatial data infrastructures, web mapping services) and expert knowledge as a means to fix inconsistencies. The analyses included several consistency checks performed on 6,195 observations from the Brazilian Soil Information System. The positional accuracy of geospatial data sources was estimated so as to obtain an indication of the quality for fixing inconsistencies. The coordinates...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Free Brazilian Repository for Open Soil Data; PronaSolos; Pedometrics; Soil data recovery; Digital soil mapping.
Ano: 2020
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000101401

Mapping a hydrophysical soil property through a comparative analysis of local and global scale approximations
Provedor de dados: 63
Autores: Araujo-Carrillo,Gustavo Alfonso; Varón-Ramirez,Viviana Marcela; Gómez-Latorre,Douglas Andrés; Estupiñan-Casallas,Jhon Mauricio; Rodríguez-Roa,Andrea Onelia; Deantonio-Florido,Leidy Yibeth; Martínez-Maldonado,Fabio Ernesto.
ABSTRACT: Current available soil information allows building baselines to improve research, such as sustainable resource management; however, its use requires analysis of accuracy and precision that describes specific variables on local and global scales. Therefore, this study evaluated differences in the spatial distribution of water retention capacity (WRC) of the soil at a depth of 0.3 m, calculated from local general soil surveys and the global gridded soil information system (SoilGrids), using detailed or semi-detailed soil surveys as a reference, in two regions of Colombia (A and B). The qualitative and statistical analyses evaluated differences in WRC surfaces generated by the information sources. Neither information sources described WRC...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: SoilGrids; Digital soil mapping; General soil study; Water retention capacity.
Ano: 2021
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000201401

Preprocessing procedures and supervised classification applied to a database of systematic soil survey
Provedor de dados: 63
Autores: Valadares,Alan Pessoa; Coelho,Ricardo Marques; Oliveira,Stanley Robson de Medeiros.
ABSTRACT: Data Mining techniques play an important role in the prediction of soil spatial distribution in systematic soil surveying, though existing methodologies still lack standardization and a full understanding of their capabilities. The aim of this work was to evaluate the performance of preprocessing procedures and supervised classification approaches for predicting map units from 1:100,000-scale conventional semi-detailed soil surveys. Sheets of the Brazilian National Cartographic System on the 1:50,000 scale, “Dois Córregos” (“Brotas” 1:100,000-scale sheet), “São Pedro” and “Laras” (“Piracicaba” 1:100,000-scale sheet) were used for developing models. Soil map information and predictive environmental covariates for the dataset were obtained from the...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Machine learning algorithms; Random forest; Tacit soil-landscape relationships; Digital soil mapping.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001500439

Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
Provedor de dados: 63
Autores: Silva,Sérgio Henrique Godinho; Menezes,Michele Duarte de; Mello,Carlos Rogério de; Góes,Helen Thaís Pereira de; Owens,Phillip Ray; Curi,Nilton.
ABSTRACT The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determined at three spatial resolutions and nine radii, and soil types and properties of two watersheds with different soil-landscape relationships in Brazil to help soil surveying and mapping under tropical conditions. The study was conducted at Lavrinha Creek (LCW) and Marcela Creek (MCW) watersheds, located in the state of Minas Gerais, Brazil. Spatial resolutions of 10, 20 and 30 m were the basis for...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Geomorphons; Soil-landscape relationships; Pedology; Landforms; Digital soil mapping.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000400363

Digital soilscape mapping of tropical hillslope areas by neural networks
Provedor de dados: 63
Autores: CarvalhoJunior,Waldir de; Chagas,César da Silva; FernandesFilho,Elpídio Inácio; Vieira,Carlos Antonio Oliveira; Schaefer,Carlos Ernesto Gonçalves; Bhering,Silvio Barge; Francelino,Marcio Rocha.
Geomorphometric variables are applied in digital soil mapping because of their strong correlation with the disposition and distribution of pedological components of the landscapes. In this research, the relationship between environmental components of tropical hillslope areas in the Rio de Janeiro State, Brazil, artificial neural networks (ANN), and maximum likelihood algorithm (MaxLike) were evaluated with the aid of geoprocessing techniques. ANN and MaxLike were applied to soilscape mapping and the results were compared to the original map. The ANN architectures with seven and five neurons in the hidden layer produced the best classifications when using samples obtained systematically. When random samples were applied, the best neural net architectures...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Geomorphometric attribute; Digital soil mapping; Digital elevation model.
Ano: 2011
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162011000600014

Digital soil mapping approach based on fuzzy logic and field expert knowledge
Provedor de dados: 64
Autores: Menezes,Michele Duarte de; Silva,Sérgio Henrique Godinho; Owens,Phillip Ray; Curi,Nilton.
In Brazil, soil surveys in more detailed scale are still scarce and necessary to more adequately support the decision makers for planning soil and environment activities in small areas. Hence, this review addresses some digital soil mapping techniques that enable faster production of soil surveys, beyond fitting continuous spatial distribution of soil properties into discrete soil categories, in accordance with the inherent complexity of soil variation, increasing the accuracy of spatial information. The technique focused here is knowledge-based in expert systems, under fuzzy logic and vector of similarity. For that, a contextualization of each tool in the soil types and properties prediction is provided, as well as some options of knowledge extraction...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Digital soil mapping; Soil prediction; Conditioned Latin hypercube sampling; Knowledge miner.
Ano: 2013
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542013000400001