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| Registros recuperados: 26 | |
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| BASTOS, B. P.; PINHEIRO, H. S. K.; FERREIRA, F. J. F.; CARVALHO JUNIOR, W. de; ANJOS, L. H. C. dos. |
| Airborne geophysical data (AGD) have great potential to represent soil-forming factors. Because of that, the objective of this study was to evaluate the importance of AGD in predicting soil attributes such as aluminum saturation (ASat), base saturation (BS), cation exchange capacity (CEC), clay, and organic carbon (OC). The AGD predictor variables include total count (uR/h), K (potassium), eU (uranium equivalent), and eTh (thorium equivalent), ratios between these elements (eTh/K, eU/K, and eU/eTh), factor F or F-parameter, anomalous potassium (Kd), anomalous uranium (Ud), anomalous magnetic field (AMF), vertical derivative (GZ), horizontal derivatives (GX and GY), and mafic index (MI). The approach was based on applying predictive modeling techniques... |
| Tipo: Artigo de periódico |
Palavras-chave: Machine learning; Digital soil mapping; Gamma-ray spectrometry data; Magnetic data; Hillslope areas; Parent material; Mapeamento digital do solo; Sensoriamento Remoto. |
| Ano: 2023 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1155276 |
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| 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 |
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| 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 |
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| 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 |
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| BASTOS, B.; PINHEIRO, H.; CARVALHO JUNIOR, W. de. |
| Aero geophysical data is becoming an important source of environmental covariate in digital mapping. Airborne gamma-ray spectrometry is more common in digital soil mapping, because of the penetration potential of approximately 30-40 cm. However, the airborne magnetic method can be tested to add and improve the prediction of soil properties. Therefore, the objective of this work was to implement a preliminary study to model the spatial distribution of soil properties using pedological legacy data, aero geophysical data, and terrain covariates to discuss their importance to the digital soil mapping in Bom Jardim county, Rio de Janeiro, Brazil. |
| Tipo: Anais e Proceedings de eventos |
Palavras-chave: Digital soil mapping; Soil properties. |
| Ano: 2022 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1140014 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| CATEN, A. Ten; DALMOLIN, R. S. D.; PEDRON, F. A.; MENDONÇA-SANTOS, M. de L.. |
| Métodos mais eficazes para determinação do padrão de distribuição de classes de solo na paisagem precisam ser avaliados visando suprir a demanda por mapas de solo em escalas regional e global. Neste estudo, Regressões Logísticas Múltiplas foram utilizadas como modelos preditores em uma aplicação de Mapeamento Digital de Solos. Os modelos foram gerados utilizando um mapa de solos existente como variável dependente e atributos de terreno como variáveis independentes, o que possibilitou determinar a probabilidade de encontrar classes de solo na paisagem no primeiro e no segundo nível categórico do SiBCS. A qualidade dos mapas preditos foi verificada por meio da matriz de contingência. A classe dos Argissolos foi predita corretamente, em relação ao mapa... |
| Tipo: Separatas |
Palavras-chave: Digital soil mapping; Generalized linear models; Pedometry. |
| Ano: 2011 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/890090 |
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| SAMUEL-ROSA, A.; DALMOLIN, R. S. D.; MOURA-BRUNO, J. M.; TEIXEIRA, W. G.; FILIPPINI ALBA, J. M.. |
| 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 of 20 soil... |
| Tipo: Artigo de periódico |
Palavras-chave: Free Brazilian Repository for Open Soil Data; PronaSolos; Pedometrics; Soil data recovery; Digital soil mapping; Mapeamento digital do solo; Base de Dados; Solo; Databases; Soil. |
| Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1114070 |
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| 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 |
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| 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 |
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| VALADARES, A. P.; COELHO, R. M.; OLIVEIRA, S. R. de M.. |
| 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: Artigo de periódico |
Palavras-chave: Aprendizado de máquina; Pré-processamento; Classificação de solos; Random forest; Machine learning algorithms; Tacit soil-landscape relationships; Digital soil mapping; Solo; Soil; Soil classification. |
| Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1118563 |
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| Registros recuperados: 26 | |
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