Mariette Vreugdenhil

Orcid: 0000-0003-4913-0255

According to our database1, Mariette Vreugdenhil authored at least 20 papers between 2013 and 2022.

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

Timeline

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Bibliography

2022
Validation of Soil Moisture Data Products From the NASA SMAP Mission.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture?
Int. J. Appl. Earth Obs. Geoinformation, 2022

Paving the Road to Flex and Biomass: The Land Surface Carbon Constellation Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Tracking Rainfall Deficits Through the Water Cycle Using Earth Observation Datasets: A Case Study in Senegal.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Improving ASCAT Soil Moisture Retrievals With an Enhanced Spatially Variable Vegetation Parameterization.
IEEE Trans. Geosci. Remote. Sens., 2021

Towards Including Dynamic Vegetation Parameters in the EUMETSAT H SAF ASCAT Soil Moisture Products.
Remote. Sens., 2021

Comparison of Long Short-Term Memory Networks and Random Forest for Sentinel-1 Time Series Based Large Scale Crop Classification.
Remote. Sens., 2021

A Review of Irrigation Information Retrievals from Space and Their Utility for Users.
Remote. Sens., 2021

2020
Sentinel-1 Cross Ratio and Vegetation Optical Depth: A Comparison over Europe.
Remote. Sens., 2020

Classification of Wheat and Barley Fields Using Sentinel-1 Backscatter.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018
The Added Value of the VH/VV Polarization-Ratio for Global Soil Moisture Estimations From Scatterometer Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Sensitivity of Sentinel-1 Backscatter to Vegetation Dynamics: An Austrian Case Study.
Remote. Sens., 2018

Improving the Seasonal Representation of ASCAT Soil Moisture and Vegetation Dynamics in a Temperate Climate.
Remote. Sens., 2018

Assessing the relationship between microwave vegetation optical depth and gross primary production.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Comparison of Different High-Resolution Soil Moisture Products Across an Agricultural Landscape in South-Eastern Australia.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Assessing Vegetation Dynamics Over Mainland Australia With Metop ASCAT.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Dynamic Characterization of the Incidence Angle Dependence of Backscatter Using Metop ASCAT.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016
Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval.
IEEE Trans. Geosci. Remote. Sens., 2016

2015
Developing an operational algorithm based on ANN for the retrieval of SMC from the incoming metop SCA mission.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2013
Towards a high-density soil moisture network for the validation of SMAP in Petzenkirchen, Austria.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013


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