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Felix Greifeneder
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2020 – today
- 2024
- [j8]Ludovica De Gregorio
, Giovanni Cuozzo
Two Datasets over South Tyrol and Tyrol Areas to Understand and Characterize Water Resource Dynamics in Mountain Regions. Data 9(11): 136 (2024) - 2021
- [j7]Felix Greifeneder
A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine. Remote. Sens. 13(11): 2099 (2021)
2010 – 2019
- 2019
- [c14]Emanuele Santi
On The Use of Machine Learning and Polarimetry For Estimating Soil Moisture From Radarsat Imagery Over Italian And Canadian Test Sites. IGARSS 2019: 5760-5763 - [c13]Giovanni Cuozzo
Virtual Constellation of X-C And L Band SAR Images to Assess Soil And Vegetation Water Content in Agricultural Areas. IGARSS 2019: 7310-7313 - 2018
- [j6]Reza Attarzadeh
Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at Plot Scale. Remote. Sens. 10(8): 1285 (2018) - [j5]Claudia Carvalho-Santos
Ecosystem Services in a Protected Mountain Range of Portugal: Satellite-Based Products for State and Trend Analysis. Remote. Sens. 10(10): 1573 (2018) - [j4]Felix Greifeneder
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. 11(10): 3668-3679 (2018) - [c12]Emanuele Santi
Estimating Soil Moisture from C and X Band Sar Using Machine Learning Algorithms and Compact Polarimetry. IGARSS 2018: 1426-1429 - 2017
- [j3]Jelena Stamenkovic
Soil Moisture Estimation by SAR in Alpine Fields Using Gaussian Process Regressor Trained by Model Simulations. IEEE Trans. Geosci. Remote. Sens. 55(9): 4899-4912 (2017) - [c11]Simonetta Paloscia, Simone Pettinato, Emanuele Santi
COSMO-SkyMed and radarsat image integration for soil moisture and vegetation biomass monitoring. IGARSS 2017: 5237-5240 - 2015
- [j2]Iftikhar Ali, Felix Greifeneder
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data. Remote. Sens. 7(12): 16398-16421 (2015) - [j1]Luca Pasolli, Claudia Notarnicola
Estimation of Soil Moisture in Mountain Areas Using SVR Technique Applied to Multiscale Active Radar Images at C-Band. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 262-283 (2015) - [c10]Felix Greifeneder
A novel approach to improve spatial detail in modeled soil moisture through the integration of remote sensing data. IGARSS 2015: 1988-1991 - [c9]Emanuele Santi
Developing an operational algorithm based on ANN for the retrieval of SMC from the incoming metop SCA mission. IGARSS 2015: 2024-2027 - [c8]Simonetta Paloscia
An analysis of the capabilities of COSMO-SKYMED and RADARSAT systems for agricultural area monitoring. IGARSS 2015: 4137-4140 - [c7]Claudia Notarnicola
Alpine algorithms-time series of innovative remote sensing products for Alpine areas: Snow cover leaf area index and soil moisture. MultiTemp 2015: 1-3 - [c6]Simonetta Paloscia
Cosmo-SkyMed and RADARSAT2 image investigation for the monitoring of agricultural areas. SAR 2015: 964206 - 2014
- [c5]Claudia Notarnicola
Temporal and spatial soil moisture dynamics in mountain meadows by integrating Radarsat 2 images and ground data. IGARSS 2014: 1222-1225 - [c4]Simonetta Paloscia
The use of COSMO-SkyMed images for retrieving snow depth and soil moisture in mountainous areas. IGARSS 2014: 3654-3657 - [c3]Felix Greifeneder
Estimation of surface soil moisture in alpine areas based on medium spatial resolution SAR time-series and upscaled in-situ measurements. SAR 2014: 92430G - [c2]Jelena Stamenkovic, Claudia Notarnicola
Soil moisture estimation using synergy of optical, SAR, and topographic data with Gaussian Process Regression. SAR 2014: 92430R - 2013
- [c1]Alexander Gruber
Potential of Sentinel-1 for high-resolution soil moisture monitoring. IGARSS 2013: 4030-4033
Coauthor Index
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