Miguel Quemada

Orcid: 0000-0001-5793-2835

According to our database1, Miguel Quemada authored at least 16 papers between 2014 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery.
Comput. Electron. Agric., February, 2023

2022
Residual Effect and N Fertilizer Rate Detection by High-Resolution VNIR-SWIR Hyperspectral Imagery and Solar-Induced Chlorophyll Fluorescence in Wheat.
IEEE Trans. Geosci. Remote. Sens., 2022

Assessment of Drought Indexes on Different Time Scales: A Case in Semiarid Mediterranean Grasslands.
Remote. Sens., 2022

2021
High-Resolution Airborne Hyperspectral Imagery for Assessing Yield, Biomass, Grain N Concentration, and N Output in Spring Wheat.
Remote. Sens., 2021

The Vegetation-Climate System Complexity through Recurrence Analysis.
Entropy, 2021

Atmospheric Correction Assessment and Normalization Procedure for Coupling Sentinel-2 and Worldview-3 Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Complexity of the Vegetation-Climate System Through Data Analysis.
Proceedings of the Complex Networks & Their Applications IX, 2020

2019
Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing.
Sensors, 2019

Mapping Crop Residue by Combining Landsat and WorldView-3 Satellite Imagery.
Remote. Sens., 2019

Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra.
Remote. Sens., 2019

2018
Mapping Crop Residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices.
Remote. Sens., 2018

Improved Crop Residue Cover Estimates from Satelite Images by Coupling Residue and Water Spectral Indices.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Landsat-8 and Worldview-3 Data for Assessing Crop Residue Cover.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
Spectral Indices to Improve Crop Residue Cover Estimation under Varying Moisture Conditions.
Remote. Sens., 2016

2015
Assessing crop residue cover when scene moisture conditions change.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Airborne Hyperspectral Images and Ground-Level Optical Sensors As Assessment Tools for Maize Nitrogen Fertilization.
Remote. Sens., 2014


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