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Marcos Rafael Nanni

Other affiliations: UEM Group
Bio: Marcos Rafael Nanni is an academic researcher from Universidade Estadual de Maringá. The author has contributed to research in topics: Soil test & Hyperspectral imaging. The author has an hindex of 19, co-authored 97 publications receiving 1381 citations. Previous affiliations of Marcos Rafael Nanni include UEM Group.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the spectral reflectance (SR) was used to measure soil attributes using satellite data as an alternative to traditional methods, such as traditional soil analyses are expensive, time-consuming, and may also result in environmental pollutants.
Abstract: Traditional soil analyses are expensive, time-consuming, and may also result in environmental pollutants. The objective of this study was to develop and evaluate a methodology to measure soil attributes using spectral reflectance (SR) as an alternative to traditional methods. Tropical Brazilian soils were sampled over a 196-ha area divided into grids. Samples (n 5 184) were obtained from the 0- to 20- and 80- to 100-cm depths and georeferenced. The laboratory SR data were obtained using a Spectroradiometer (400–2 500 nm). Satellite reflectance values were sampled from corrected Landsat Thematic Mapper (TM) images. Particle-size distribution and chemical analysis (organic matter [OM], cation-exchange capacity [CEC], total SiO2 ,F e 2O3, TiO2, sum of cations, cation, and Al saturation) were performed in the laboratory. Statistical analysis and multiple regression equations for soilattribute predictionsusingradiometricdataweredeveloped.Laboratory data used 22 bands and 13 ‘‘Reflectance Inflexion Differences, RID’’ from different wavelength intervals of the optical spectrum. However, the satellite data used only the reflectance of the 1, 2, 3, 4, 5, and 7 TM-Landsat bands. Multiple regression equations were derived from surface and subsurface soil layers. Estimations of some tropical soil attributes were possible using laboratory spectral analysis. Laboratory SR yielded high correlations with traditional laboratory analyses (R 2 . 0.79) for the soil attributes such as clay, sand, TiO2, and Fe2O3. Satellite spectral data correlated well with most of the soil attributes such as clay, Fe2O3, and TiO2 (reaching R 2 5 0.72). The use of soil analysis methodology by satellite and/or ground remote sensing constitutes an alternative to traditional routine laboratory analysis.

268 citations

Journal ArticleDOI
01 Jul 2004-Geoderma
TL;DR: In this paper, a spectral reflectance (SR)-based methodology was developed to evaluate soil types and soil tillage systems, which can be used as a methodology to assist soil surveys.

215 citations

Journal ArticleDOI
José Alexandre Melo Demattê1, André Carnieletto Dotto1, Ariane Francine da Silveira Paiva1, Marcus Vinicius Sato1, Ricardo Simão Diniz Dalmolin2, Maria do Socorro Bezerra de Araújo3, Elisângela Benedet da Silva, Marcos Rafael Nanni4, Alexandre ten Caten5, Norberto Cornejo Noronha6, Marilusa Pinto Coelho Lacerda7, José Coelho de Araújo Filho8, Rodnei Rizzo, Henrique Bellinaso, Márcio Rocha Francelino9, Carlos Ernesto Gonçalves Reynaud Schaefer9, Luiz Eduardo Vicente8, Uemeson José dos Santos3, Everardo Valadares de Sá Barretto Sampaio3, Rômulo Simões Cezar Menezes3, José João Lelis Leal de Souza10, Walter Antônio Pereira Abrahão9, Ricardo Marques Coelho11, Célia Regina Grego8, João Luiz Lani9, Antonio Rodrigues Fernandes12, Deyvison A.M. Gonçalves12, Sérgio Henrique Godinho Silva, Michele Duarte de Menezes, Nilton Curi, Eduardo Guimarães Couto13, Lúcia Helena Cunha dos Anjos14, Marcos Bacis Ceddia14, Érika Flávia Machado Pinheiro14, Sabine Grunwald15, Gustavo M. Vasques8, José Marques Júnior16, Airon José da Silva17, Marcos Cabral de Vasconcelos Barreto17, Gabriel Nuto Nóbrega18, Marcelo Z. da Silva, Sara Fernandes Flor de Souza10, Gustavo Souza Valladares19, João Herbert Moreira Viana8, Fabrício da Silva Terra, Ingrid Horák-Terra, Peterson Ricardo Fiorio, Rafael Carvalho da Silva1, Elizio F. Frade Júnior, Raimundo Humberto Cavalcante Lima20, José Maria Filippini Alba8, Valdomiro Severino de Souza Júnior21, Maria De Lourdes Mendonça Santos Brefin8, Maria De Lourdes P. Ruivo, Tiago Osório Ferreira1, Marny A. Brait, Norton Roberto Caetano22, Idone Bringhenti22, Wanderson de Sousa Mendes1, José Lucas Safanelli1, Clécia Cristina Barbosa Guimarães1, Raúl Roberto Poppiel7, Arnaldo Barros e Souza1, Carlos A. Quesada, Hilton T. Zarate do Couto 
15 Nov 2019-Geoderma
TL;DR: The Brazilian Soil Spectral Library (BSSL) as mentioned in this paper was developed in a joint partnership with the Brazilian pedometrics community to standardize and evaluate spectra within the 350-2500nm range of Brazilian soils.

78 citations

Journal ArticleDOI
01 Nov 2006-Geoderma
TL;DR: In this paper, the authors evaluated spectral data of wet and dry tropical Brazilian soils with different hydration and determined a method to identify soil mineralogy, to evaluate clay minerals at different moisture stages and their relationship with soil minerals, and to determine a model to estimate soil moisture using spectral data measured in the laboratory by a spectroradiometer.

73 citations

Journal ArticleDOI
TL;DR: In this paper, the authors evaluate the spatial variability of the main attributes that influence fertilization recommendations, using georeferenced soil samples arranged in grid patterns of different resolutions, and compare the spatial maps generated with those obtained with the standard sampling of 1 sample ha -1, in order to verify the appropriateness of the spatial resolution.
Abstract: The importance of understanding spatial variability of soils is connected to crop management planning. This understanding makes it possible to treat soil not as a uniform, but a variable entity, and it enables site-specific management to increase production efficiency, which is the target of precision agriculture. Questions remain as the optimum soil sampling interval needed to make site-specific fertilizer recommendations in Brazil. The objectives of this study were: i) to evaluate the spatial variability of the main attributes that influence fertilization recommendations, using georeferenced soil samples arranged in grid patterns of different resolutions; ii) to compare the spatial maps generated with those obtained with the standard sampling of 1 sample ha -1 , in order to verify the appropriateness of the spatial resolution. The attributes evaluated were phosphorus (P), potassium (K), organic matter (OM), base saturation (V%) and clay. Soil samples were collected in a 100 × 100 m georeferenced grid. Thinning was performed in order to create a grid with one sample every 2.07, 2.88, 3.75 and 7.20 ha. Geostatistical techniques, such as semivariogram and interpolation using kriging, were used to analyze the attributes at the different grid resolutions. This analysis was performed with the Vesper software package. The maps created by this method were compared using the kappa statistics. Additionally, correlation graphs were drawn by plotting the observed values against the estimated values using cross-validation. P, K and V%, a finer sampling resolution than the one using 1 sample ha -1 is required, while for OM and clay coarser resolutions of one sample every two and three hectares, respectively, may be acceptable.

64 citations


Cited by
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Journal ArticleDOI

7,335 citations

01 Jan 2016
TL;DR: The remote sensing and image interpretation is universally compatible with any devices to read and is available in the digital library an online access to it is set as public so you can get it instantly.
Abstract: Thank you very much for downloading remote sensing and image interpretation. As you may know, people have look hundreds times for their favorite novels like this remote sensing and image interpretation, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their computer. remote sensing and image interpretation is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the remote sensing and image interpretation is universally compatible with any devices to read.

1,802 citations

Book ChapterDOI
TL;DR: A review on the state of soil visible-near infrared (vis-NIR) spectroscopy is provided in this article, focusing on important soil attributes such as soil organic matter (SOM), minerals, texture, nutrients, water, pH, and heavy metals.
Abstract: This chapter provides a review on the state of soil visible–near infrared (vis–NIR) spectroscopy Our intention is for the review to serve as a source of up-to-date information on the past and current role of vis–NIR spectroscopy in soil science It should also provide critical discussion on issues surrounding the use of vis–NIR for soil analysis and on future directions To this end, we describe the fundamentals of visible and infrared diffuse reflectance spectroscopy and spectroscopic multivariate calibrations A review of the past and current role of vis–NIR spectroscopy in soil analysis is provided, focusing on important soil attributes such as soil organic matter (SOM), minerals, texture, nutrients, water, pH, and heavy metals We then discuss the performance and generalization capacity of vis–NIR calibrations, with particular attention on sample pretratments, covariations in data sets, and mathematical data preprocessing Field analyses and strategies for the practical use of vis–NIR are considered We conclude that the technique is useful to measure soil water and mineral composition and to derive robust calibrations for SOM and clay content Many studies show that we also can predict properties such as pH and nutrients, although their robustness may be questioned For future work we recommend that research should focus on: (i) moving forward with more theoretical calibrations, (ii) better understanding of the complexity of soil and the physical basis for soil reflection, and (iii) applications and the use of spectra for soil mapping and monitoring, and for making inferences about soils quality, fertility and function To do this, research in soil spectroscopy needs to be more collaborative and strategic The development of the Global Soil Spectral Library might be a step in the right direction

1,063 citations

01 Jan 2011
TL;DR: In this paper, the authors present a survey of the estimated costs of soil erosion, an issue of fundamental importance in view of the current worldwide discussion on soil erosion. But the authors focus on the cost of soil degradation.
Abstract: Resumen en: The aim of this study was a survey of the estimated costs of soil erosion, an issue of fundamental importance in view of the current worldwide discussion...

983 citations