Marcela Doubková

According to our database1, Marcela Doubková authored at least 12 papers between 2006 and 2014.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2014
How do Spatial Scale, Noise, and Reference Data affect Empirical Estimates of Error in ASAR-Derived 1 km Resolution Soil Moisture?
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Enabling the Use of Earth Observation Data for Integrated Water Resource Management in Africa with the Water Observation and Information System.
Remote. Sens., 2014

Seven Years of Advanced Synthetic Aperture Radar (ASAR) Global Monitoring (GM) of Surface Soil Moisture over Africa.
Remote. Sens., 2014

Similarities Between Spaceborne Active and Airborne Passive Microwave Observations at 1 km Resolution.
IEEE Geosci. Remote. Sens. Lett., 2014

2012
Potential for High Resolution Systematic Global Surface Soil Moisture Retrieval via Change Detection Using Sentinel-1.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Prospects of Sentinel-1 for land applications.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Evaluation of the ASAR GM soil moisture product.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2010
Validation of the ASAR Global Monitoring Mode Soil Moisture Product Using the NAFE'05 Data Set.
IEEE Trans. Geosci. Remote. Sens., 2010

2009
Using ENVISAT ASAR Global Mode Data for Surface Soil Moisture Retrieval Over Oklahoma, USA.
IEEE Trans. Geosci. Remote. Sens., 2009

On the Ability of the ERS Scatterometer to Detect Vegetation Properties.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

The Medium Resolution Soil Moisture Dataset: Overview of the SHARE ESA DUE TIGER Project.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2006
Synergistic use of AMSR-E and MODIS Data for Understanding Grassland Land Surface Phenologies.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006


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