• Formação acadêmica indisponível no momento. Não foi possível estabelecer um contato com o serviço.
  • Ambiente testes tarefa #22326

michele duarte de menezes

DCS - DEPARTAMENTO DE CIÊNCIA DO SOLO

Produção Intelectual

Artigos (41)

  • 2020, , Modeling arsenic content in Brazilian soils: What is relevant?, ISSN: 00489697
  • 2019, , The Brazilian Soil Spectral Library (BSSL): A general view, application and challenges, ISSN: 00167061
  • 2019, , Transferability, accuracy, and uncertainty assessment of different knowledge-based approaches for soil types mapping, ISSN: 03418162
  • 2019, , Natural variation of arsenic fractions in soils of the Brazilian Amazon, ISSN: 00489697
  • 2019, , Determination of vegetation cover index under different soil management systems of cover plants by using an unmanned aerial vehicle with an onboard digital photographic camera, ISSN: 16790359
  • 2019, , Soil type spatial prediction from Random Forest: different training datasets, transferability, accuracy and uncertainty assessment, ISSN: 1678992X
  • 2019, , Land use capability classification adaptation in low and intermediate technology farming systems: A soil erosion indicator, ISSN: 02660032
  • 2019, , Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil, ISSN: 20452322
  • 2018, , Cultivo de feijão em sistema de plantio direto no Cerrado, ISSN: 01003364
  • 2018, , Synthesis of proximal sensing, terrain analysis, and parent material information for available micronutrient prediction in tropical soils, ISSN: 13852256
  • 2018, , Mapping land use capability in tropical conditions adapting criteria to different levels of agricultural management, ISSN: 14137054
  • 2018, , Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds, ISSN: 01039016
  • 2017, , Bulk Density Prediction for Histosols and Soil Horizons with High Organic Matter Content, ISSN: 18069657
  • 2017, , Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover, ISSN: 19313195
  • 2017, , Knowledge-based digital soil mapping for predicting soil properties in two representative watersheds, ISSN: 1678992X
  • 2017, , The use of Pedotransfer functions and the estimation of carbon stock in the Central Amazon region, ISSN: 01039016
  • 2017, , Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF), ISSN: 19811829
  • 2017, , Hybrid kriging methods for interpolating sparse river bathymetry point data, ISSN: 19811829
  • 2016, , Spatial prediction of soil properties in two contrasting physiographic regions in Brazil, ISSN: 1678992X
  • 2016, , Land suitability for final waste disposal with emphasis on septic systems installation in southern Minas Gerais, Brazil, ISSN: 19811829
  • 2016, , Retrieving pedologist's mental model from existing soil map and comparing data mining tools for refining a larger area map under similar environmental conditions in Southeastern Brazil, ISSN: 00167061
  • 2016, , Spatial prediction of soil properties in two contrasting physiographic regions in Brazil, ISSN: 1678992X
  • 2016, , Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions, ISSN: 1678992X
  • 2016, , Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions, ISSN: 1678992X
  • 2016, , Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions, ISSN: 1678992X
  • 2016, , Mapping soils in two watersheds using legacy data and extrapolation for similar surrounding areas, ISSN: 19811829
  • 2016, , Proximal Sensing and Digital Terrain Models Applied to Digital Soil Mapping and Modeling of Brazilian Latosols (Oxisols), ISSN: 20724292
  • 2016, , Mapping soils in two watersheds using legacy data and extrapolation for similar surrounding areas, ISSN: 19811829
  • 2015, , Evaluation of Conditioned Latin Hypercube Sampling as a Support for Soil Mapping and Spatial Variability of Soil Properties, ISSN: 03615995
  • 2014, , A Technique for Low Cost Soil Mapping and Validation Using Expert Knowledge on a Watershed in Minas Gerais, Brazil, ISSN: 03615995
  • 2014, , Solum depth spatial prediction comparing conventional with knowledge-based digital soil mapping approaches, ISSN: 01039016
  • 2013, , Newsletter da comissão de Pedometria, ISSN:
  • 2013, , Digital soil mapping approach based on fuzzy logic and field expert knowledge, ISSN: 14137054
  • 2012, , ANÁLISE EMPÍRICA DE FRAGILIDADE AMBIENTAL UTILIZANDO TÉCNICAS DE GEOPROCESSAMENTO: O CASO DA ÁREA DE INFLUÊNCIA DA HIDRELÉTRICA DO FUNIL ? MG, ISSN: 22371419
  • 2010, , Avaliação e espacialização da erosividade da chuva no Vale do Rio Doce, região centro- Leste do estado de Minas Gerais, ISSN: 18069657
  • 2010, , Química e mineralogia de solos cultivados com Eucalipto (Eucalyptus sp.), ISSN: 14139324
  • 2009, , Unidades de manejo para o cultivo de eucalipto em quatro regiões fisiográficas do Rio Grande do Sul, ISSN: 14139324
  • 2009, , Levantamento pedológico e sistema de informações geográficas na avaliação do uso das terras em sub-bacia hidrográfica de Minas Gerais., ISSN: 14137054
  • 2009, , Avaliação do risco de anoxia para o cultivo do eucalipto no Rio Grande do Sul utilizando-se levantamento de solos, ISSN: 14139324
  • 2009, , Levantamento detalhado de solos da microbacia hidrográfica do horto florestal Terra Dura (RS) e considerações sobre escalas de mapeamento., ISSN: 14137054
  • 2009, , Dinâmica hidrológica de duas nascentes, associada ao uso do solo, características pedológicas e atributos físico-hídricos na sub-bacia hidrográfica do Ribeirão Lavrinha ? Serra da Mantiqueira (MG), ISSN: 14139324

Orientações de Pós-Graduação (0)

SIGAA | DGTI - Diretoria de Gestão de Tecnologia da Informação - Contatos (abre nova janela): https://ufla.br/contato | © UFLA | homologacao.implantacao - v4.0.295.57_22326
Acesse as notas de versão para ver como a equipe da DGTI vem trabalhando para melhorar o SIGAA. 05/04/2025 03:25