Caio T. Fongaro

Most-cited papers

1. Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images

   J. Demattê, Caio T. Fongaro, R. Rizzo, J. Safanelli

   2018Remote Sensing of Environment250 citations

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2. Genesis and properties of wetland soils by VIS-NIR-SWIR as a technique for environmental monitoring.

   J. Demattê, Ingrid Horák-Terra, R. M. Beirigo, F. da Silva Terra +4 more

   2017Journal of Environmental Management67 citations Open access

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3. Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images

   Caio T. Fongaro, J. Demattê, R. Rizzo, J. Safanelli +5 more

   2018Remote Sensing63 citations Open access

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4. Is it possible to map subsurface soil attributes by satellite spectral transfer models?

   W. de S. Mendes, Luiz G. Medeiros, J. Demattê, B. C. Gallo +3 more

   2019Geoderma55 citations Open access

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5. Digital soil mapping at local scale using a multi-depth Vis–NIR spectral library and terrain attributes

   R. Rizzo, J. Demattê, I. Lepsch, B. C. Gallo +1 more

   201653 citations

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6. Tropical Texture Determination by Proximal Sensing Using a Regional Spectral Library and Its Relationship with Soil Classification

   M. P. Lacerda, J. Demattê, Marcus V. Sato, Caio T. Fongaro +2 more

   2016Remote Sensing50 citations Open access

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7. Effects of external factors on soil reflectance measured on-the-go and assessment of potential spectral correction through orthogonalisation and standardisation procedures

   M. H. D. Franceschini, J. Demattê, L. Kooistra, H. Bartholomeus +3 more

   201848 citations Open access

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8. Soil class and attribute dynamics and their relationship with natural vegetation based on satellite remote sensing

   J. Demattê, Veridiana Maria Sayão, R. Rizzo, Caio T. Fongaro

   201738 citations Open access

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9. Is It Possible to Classify Topsoil Texture Using a Sensor Located 800 km Away from the Surface

   J. Demattê, M. R. Alves, F. da Silva Terra, R. W. Bosquilia +2 more

   201635 citations Open access

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10. Digital soil mapping using reference area and artificial neural networks

    Gustavo Viani Arruda, J. Demattê, C. Chagas, P. Fiorio +2 more

    201632 citations Open access

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11. Satellite Spectral Data on the Quantification of Soil Particle Size from Different Geographic Regions

    J. Demattê, C. C. Guimarães, Caio T. Fongaro, Emmily Larissa Felipe Vidoy +3 more

    2018Revista Brasileira de Ciência do Solo25 citations Open access

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12. Remote Sensing from Ground to Space Platforms Associated with Terrain Attributes as a Hybrid Strategy on the Development of a Pedological Map

    J. Demattê, L. Ramirez-Lopez, R. Rizzo, M. Nanni +5 more

    2016Remote Sensing21 citations Open access

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13. Soil chemical alteration due to slaughterhouse waste application as identified by spectral reflectance in São Paulo State, Brazil: an environmental monitoring useful tool

    J. Demattê, Júlia Assunção de Castro Oliveira, T. Tavares, L. R. López +9 more

    2016Environmental Earth Sciences6 citations

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14. Hyperspectral remote sensing as an alternative to estimate soil attributes1

    M. Dematte, M. R. Alves, B. C. Gallo, Caio T. Fongaro +4 more

    20150 citations

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15. Hyperspectral remote sensing as an alternative to estimate soil attributes 1

    J. Demattê, M. R. Alves, B. C. Gallo, Caio T. Fongaro +4 more

    20150 citations

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