Marcos Rafael Nanni

Orcid: 0000-0003-4854-2661

According to our database1, Marcos Rafael Nanni authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Rapid Determination of Soil Horizons and Suborders Based on VIS-NIR-SWIR Spectroscopy and Machine Learning Models.
Remote. Sens., October, 2023

Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters.
Remote. Sens., October, 2023

Estimating Soil Organic Matter (SOM) Using Proximal Remote Sensing: Performance Evaluation of Prediction Models Adjusted at Local Scale in the Brazilian Cerrado.
Remote. Sens., September, 2023

A Novel Method for Estimating Chlorophyll and Carotenoid Concentrations in Leaves: A Two Hyperspectral Sensor Approach.
Sensors, 2023

2022
VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce.
Remote. Sens., December, 2022

Spectral Method for Liming Recommendation in Oxisol Based on the Prediction of Chemical Characteristics Using Interval Partial Least Squares Regression.
Remote. Sens., 2022

2021
Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors.
Remote. Sens., 2021

Yield Prediction in Soybean Crop Grown under Different Levels of Water Availability Using Reflectance Spectroscopy and Partial Least Squares Regression.
Remote. Sens., 2021

Classification of Soybean Genotypes Assessed Under Different Water Availability and at Different Phenological Stages Using Leaf-Based Hyperspectral Reflectance.
Remote. Sens., 2021

Strategies for the Development of Spectral Models for Soil Organic Matter Estimation.
Remote. Sens., 2021

2019
Object-based image analysis supported by data mining to discriminate large areas of soybean.
Int. J. Digit. Earth, 2019

Multi-scale mapping of oil-sands in Anhembi (Brazil) using imaging spectroscopy.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2016
Remote Sensing from Ground to Space Platforms Associated with Terrain Attributes as a Hybrid Strategy on the Development of a Pedological Map.
Remote. Sens., 2016


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