David Chaparro
Orcid: 0000-0002-5545-6182
According to our database1,
David Chaparro
authored at least 30 papers
between 2014 and 2024.
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Bibliography
2024
Live fuel moisture content estimates in the Western USA using radiometer-radar-lidar synergy.
Dataset, January, 2024
Land, jet stream, and other atmospheric effects on burned area estimation during the South Asian heatwave of 2022.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Proceedings of the IGARSS 2024, 2024
Bayesian Network Analysis of Land-Atmosphere Interactions Affecting Burned Areas in India During the 2022 South Asia Heatwave.
Proceedings of the IGARSS 2024, 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
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
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
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
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
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
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014