Cristina Vittucci

Orcid: 0000-0001-6210-4647

According to our database1, Cristina Vittucci authored at least 16 papers between 2011 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Influence of Vegetation Height, Plant Area Index, and Forest Intactness on SMOS L-VOD, for Different Seasons and Latitude Ranges.
IEEE Trans. Geosci. Remote. Sens., 2023

2021
SMOS L-VOD Retrieved by Level 2 Algorithm and its Correlation With GEDI LIDAR Products.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Estimating Biomass From Sentinel-3 Altimetry Data: A Sensitivity Analysis.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019
Analysis of Vegetation Optical Depth and Soil Moisture Retrieved by SMOS Over Tropical Forests.
IEEE Geosci. Remote. Sens. Lett., 2019

Vegetation optical depth at L-band and above ground biomass in the tropical range: Evaluating their relationships at continental and regional scales.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Spatial and Temporal Properties of SMOS Retrieval Over Tropical Forests.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Constraining Terrestrial Carbon Fluxes Through Assimilation of SMOS Products.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Effective Scattering Albedo of Forests Retrieved by SMOS and a Three-Parameter Algorithm.
IEEE Geosci. Remote. Sens. Lett., 2017

2016
L-Band Passive and Active Signatures of Vegetated Soil: Simulations With a Unified Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

SMOS forest optical depth intercomparisons over pan-tropical biomes.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2014
River Water Level Prediction Using Passive Microwave Signatures - A Case Study: The Bermejo Basin.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Monitoring Vegetation Moisture Using Passive Microwave and Optical Indices in the Dry Chaco Forest, Argentina.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

A neural network architecture combining VHR SAR and multispectral data for precision farming in viticulture.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Airborne forest monitoring during SMAPEx-3 campaign.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2011
Monitoring floods in the lower Bermejo river basin using multifrequency microwave signatures.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011


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