David Chaparro

Orcid: 0000-0002-5545-6182

According to our database1, David Chaparro authored at least 27 papers between 2014 and 2024.

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

Timeline

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PhD thesis 
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Online presence:

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Bibliography

2024
Live fuel moisture content estimates in the Western USA using radiometer-radar-lidar synergy.
Dataset, January, 2024

2023
Global Unsupervised Assessment of Multifrequency Vegetation Optical Depth Sensitivity to Vegetation Cover.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A Random Forest Approach for Soil Moisture Estimation at 60 Meters Spatial Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

On the Potential of Active and Passive Microwave Remote Sensing for Tracking Seasonal Dynamics of Evapotranspiration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Burned Area Prediction In Southern Asia Using Machine Learning With Land And Atmospheric Parameters.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Frequency Radiometry for Multi-Year Monitoring of Relative Water Content In A Temperate Forest.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Estimation of Gravimetric Vegetation Moisture in the Western United States Using a Multi-Sensor Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Robustness of Vegetation Optical Depth Retrievals Based on L-Band Global Radiometry.
IEEE Trans. Geosci. Remote. Sens., 2022

Quantifying and Reducing Uncertainty in Microwave Vegetation Optical Depth and Soil Moisture Retrievals.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Monitoring Forest Above-Ground Biomass from Multifrequency Vegetation Optical Depth: A Preliminary Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Retrieval of Forest Water Potential from L-Band Vegetation Optical Depth.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Global L-Band Vegetation Volume Fraction Estimates for Modeling Vegetation Optical Depth.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Improving the Rice Yield Estimation Using SMOS and CYGNSS GNSS-R Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Evaluation of Dengue Disease in Brazil: Multivariable Analysis.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Influence of Quality Filtering Approaches in BEC SMOS L3 Soil Moisture Products.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Mapping Carbon Stocks In Central And South America With Smap Vegetation Optical Depth.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
A Spatially Consistent Downscaling Approach for SMOS Using an Adaptive Moving Window.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Microwave and Optical Data Fusion for Global Mapping of Soil Moisture at High Resolution.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

L-Band Vegetation Optical Depth for Crop Phenology Monitoring and Crop Yield Assessment.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Modelling Forest Decline Using Smos Soil Moisture and Vegetation Optical Depth.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
The Role of Climatic Anomalies and Soil Moisture in the Decline of Drought-Prone Forests.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Remote sensing of vegetation dynamics in agro-ecosystems using smap vegetation optical depth and optical vegetation indices.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

SMAP Multi-Temporal vegetation optical depth retrieval as an indicator of crop yield trends and crop composition.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Predicting the Extent of Wildfires Using Remotely Sensed Soil Moisture and Temperature Trends.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

2015
Low soil moisture and high temperatures as indicators for forest fire occurrence and extent across the Iberian Peninsula.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
SMOS and climate data applicability for analyzing forest decline and forest fires.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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