Search Results - "Bonfatti, Benito"

Terrain Analysis in Google Earth Engine: A Method Adapted for High-Performance Global-Scale Analysis by Safanelli, José, Poppiel, Raul, Ruiz, Luis, Bonfatti, Benito, Mello, Fellipe, Rizzo, Rodnei, Demattê, José

“…Terrain analysis is an important tool for modeling environmental systems. Aiming to use the cloud-based computing capabilities of Google Earth Engine (GEE), we…”
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Leveraging the application of Earth observation data for mapping cropland soils in Brazil by Safanelli, José L., Demattê, José A.M., Chabrillat, Sabine, Poppiel, Raul R., Rizzo, Rodnei, Dotto, André C., Silvero, Nélida E.Q., Mendes, Wanderson de S., Bonfatti, Benito R., Ruiz, Luis F.C., ten Caten, Alexandre, Dalmolin, Ricardo S.D.

“…•Spectral and terrain features for mapping cropland soils in Brazil.•Detailed soil spatial distribution and SOC stock was estimated in croplands.•Predicted…”
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Instance selection in digital soil mapping: a study case in Rio Grande do Sul, Brazil by Giasson, Elvio, ten Caten, Alexandre, Bagatini, Tatiane, Bonfatti, Benito

“…A critical issue in digital soil mapping (DSM) is the selection of data sampling method for model training. One emerging approach applies instance selection to…”
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Climate and land use changes explain variation in the A horizon and soil thickness in the United States by Zhang, Yakun, Hartemink, Alfred E., Vanwalleghem, Tom, Bonfatti, Benito Roberto, Moen, Steven

“…Understanding spatio-temporal changes in soil thickness and their natural and anthropogenic driving factors are essential for earth system modeling and natural…”
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Soil Color and Mineralogy Mapping Using Proximal and Remote Sensing in Midwest Brazil by Poppiel, Raúl Roberto, Lacerda, Marilusa Pinto Coelho, Rizzo, Rodnei, Safanelli, José Lucas, Bonfatti, Benito Roberto, Silvero, Nélida Elizabet Quiñonez, Demattê, José Alexandre Melo

“…Soil color and mineralogy are used as diagnostic criteria to distinguish different soil types. In the literature, 350–2500 nm spectra were successfully used to…”
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Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison by José Lucas Safanelli, José Alexandre Melo Demattê, Natasha Valadares dos Santos, Jorge Tadeu Fim Rosas, Nélida Elizabet Quiñonez Silvero, Benito Roberto Bonfatti, Wanderson de Sousa Mendes

“…ABSTRACT Multitemporal collections of satellite images and their products have recently been explored in digital soil mapping. This study aimed to produce a…”
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Spatial Disaggregation of Multi-Component Soil Map Units Using Legacy Data and a Tree-Based Algorithm in Southern Brazil by Israel Rosa Machado, Elvio Giasson, Alcinei Ribeiro Campos, José Janderson Ferreira Costa, Elisângela Benedet da Silva, Benito Roberto Bonfatti

“…ABSTRACT Soil surveys often contain multi-component map units comprising two or more soil classes, whose spatial distribution within the map unit is not…”
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Selection of Environmental Covariates for Classifier Training Applied in Digital Soil Mapping by Alcinei Ribeiro Campos, Elvio Giasson, José Janderson Ferreira Costa, Israel Rosa Machado, Elisângela Benedet da Silva, Benito Roberto Bonfatti

“…ABSTRACT A large number of predictor variables can be used in digital soil mapping; however, the presence of irrelevant covariables may compromise the…”
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Individualization of soil classes by disaggregation of physiographic map polygons by Costa, José Janderson Ferreira, Giasson, Elvio, Silva, Elisângela Benedet da, Campos, Alcinei Ribeiro, Machado, Israel Rosa, Bonfatti, Benito Roberto, Bacic, Ivan Luiz Zilli

“…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…”
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Digital mapping of soil carbon in a viticultural region of Southern Brazil by Bonfatti, Benito R., Hartemink, Alfred E., Giasson, Elvio, Tornquist, Carlos G., Adhikari, Kabindra

“…There is a need for soil C assessment in the soils of tropical and subtropical areas. We have aimed to quantify the spatial extent of SOC concentration and…”
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Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison by Silvero, Nélida Elizabet Quiñonez, Demattê, José Alexandre Melo, Amorim, Merilyn Taynara Accorsi, Santos, Natasha Valadares dos, Rizzo, Rodnei, Safanelli, José Lucas, Poppiel, Raul Roberto, Mendes, Wanderson de Sousa, Bonfatti, Benito Roberto

“…There is a worldwide need for detailed spatial information to support soil mapping, mainly in the tropics, where main agricultural areas are concentrated. In…”
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Digital mapping of soil parent material in a heterogeneous tropical area by Bonfatti, Benito R., Demattê, José A.M., Marques, Karina P.P., Poppiel, Raul R., Rizzo, Rodnei, Mendes, Wanderson de S., Silvero, Nelida E.Q., Safanelli, José L.

“…Parent material is one of the five factors in soil formation. Studies on parent material allow interpreting soil genesis processes and improve our knowledge of…”
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A mechanistic model to predict soil thickness in a valley area of Rio Grande do Sul, Brazil by Bonfatti, Benito R., Hartemink, Alfred E., Vanwalleghem, Tom, Minasny, Budiman, Giasson, Elvio

“…Soil thickness is an important soil characteristic changing over space and time. In this study, we used a mechanistic soil landscape models to predict soil…”
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Soil property maps with satellite images at multiple scales and its impact on management and classification by Silvero, Nélida E.Q., Demattê, José A.M., Vieira, Julia de Souza, Mello, Fellipe Alcântara de Oliveira, Amorim, Merilyn Taynara Accorsi, Poppiel, Raul Roberto, Mendes, Wanderson de Sousa, Bonfatti, Benito Roberto

“…•Multi-temporal SYSI S2-MSI image provided the best model performances.•PlanetScope image did not provide any improvements in model performances.•Satellite…”
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A novel framework to estimate soil mineralogy using soil spectroscopy by Mendes, Wanderson de Sousa, Demattê, José A.M., Bonfatti, Benito Roberto, Resende, Maria Eduarda B., Campos, Lucas Rabelo, Costa, Antonio Carlos Saraiva da

“…Soil minerals are usually quantified by the conventional laboratory soil analyses. However, developments in interpretations and analyses of the visible,…”
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Free iron oxide content in tropical soils predicted by integrative digital mapping by Mendes, Wanderson de Sousa, Demattê, José A.M., Minasny, Budiman, Silvero, Nélida E.Q., Bonfatti, Benito R., Safanelli, José Lucas, Rizzo, Rodnei, Costa, Antonio Carlos Saraiva da

“…The free iron content is a vital indicator of pedogenic processes in tropical soils and can be used to understand the soil’s weathering history and aid in…”
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High resolution middle eastern soil attributes mapping via open data and cloud computing by Poppiel, Raúl Roberto, Demattê, José Alexandre Melo, Rosin, Nícolas Augusto, Campos, Lucas Rabelo, Tayebi, Mahboobeh, Bonfatti, Benito Roberto, Ayoubi, Shamsollah, Tajik, Samaneh, Afshar, Farideh Abbaszadeh, Jafari, Azam, Hamzehpour, Nikou, Taghizadeh-Mehrjardi, Ruhollah, Ostovari, Yaser, Asgari, Najmeh, Naimi, Salman, Nabiollahi, Kamal, Fathizad, Hassan, Zeraatpisheh, Mojtaba, Javaheri, Fatemeh, Doustaky, Maryam, Naderi, Mehdi, Dehghani, Somayeh, Atash, Saeedeh, Farshadirad, Akram, Mirzaee, Salman, Shahriari, Ali, Ghorbani, Maryam, Rahmati, Mehdi

“…[Display omitted] •We explored the power of cloud computing for digital soil mapping.•Multi-source environmental covariates had a highly explanatory power.•We…”
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Digital soil mapping and crop modeling to define the spatially-explicit influence of soils on water-limited sugarcane yield by dos Santos, Natasha Valadares, Rizzo, Rodnei, Dias, Henrique Boriolo, Safanelli, José Lucas, Bonfatti, Benito Roberto, Sentelhas, Paulo Cesar, Amorim, Merilyn Taynara Accorsi, Mello, Danilo Cesar, Falcioni, Renan, Francelino, Marcio, Veloso, Gustavo Vieira, Demattê, José A. M.

“…Background and Aims To enhance Brazilian sugarcane production sustainably, crop simulation models have been utilized. However, due to the lack of reliable…”
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Complex hydrological knowledge to support digital soil mapping by Mello, Fellipe A.O., Demattê, José A.M., Rizzo, Rodnei, Mello, Danilo C. de, Poppiel, Raul R., Silvero, Nélida E.Q., Safanelli, José L., Bellinaso, Henrique, Bonfatti, Benito R., Gomez, Andres M.R., Sousa, Gabriel P.B.

“…•Hydrological data contributed more than relief for prediction of sand, clay, and OM.•Confluence angle and channel sinuosity have distinct patterns over…”
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Multi-temporal bare surface image associated with transfer functions to support soil classification and mapping in southeastern Brazil by Rizzo, Rodnei, Medeiros, Luiz Gonzaga, Mello, Danilo César de, Marques, Karina P.P., Mendes, Wanderson de Souza, Quiñonez Silvero, Nélida Elizabet, Dotto, André Carnieletto, Bonfatti, Benito Roberto, Demattê, José A.M.

“…[Display omitted] •Soil variability was correctly described by the bare surface composite image.•Depth-transfer functions were combined to remote sensing to…”
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