Philip Marzahn
Philip Marzahn
Department of Geography, LMU Munich
Verified email at - Homepage
Cited by
Cited by
On the derivation of soil surface roughness from multi parametric PolSAR data and its potential for hydrological modeling
P Marzahn, R Ludwig
Hydrology and Earth System Sciences 13 (3), 381, 2009
SAR-based detection of flooded vegetation–a review of characteristics and approaches
V Tsyganskaya, S Martinis, P Marzahn, R Ludwig
International Journal of Remote Sensing 39 (8), 2255-2293, 2018
Assessment of soil surface roughness statistics for microwave remote sensing applications using a simple photogrammetric acquisition system
P Marzahn, D Rieke-Zapp, R Ludwig
ISPRS journal of photogrammetry and remote sensing 72, 80-89, 2012
Progress in the understanding of narrow directional microwave scattering of agricultural fields
U Wegmüller, M Santoro, F Mattia, A Balenzano, G Satalino, P Marzahn, ...
Remote Sensing of Environment 115 (10), 2423-2433, 2011
Detection of temporary flooded vegetation using Sentinel-1 time series data
V Tsyganskaya, S Martinis, P Marzahn, R Ludwig
Remote Sensing 10 (8), 1286, 2018
Characterization of rape field microwave emission and implications to surface soil moisture retrievals
F Schlenz, J Fallmann, P Marzahn, A Loew, W Mauser
Remote Sensing 4 (1), 247-270, 2012
Decomposing dual scale soil surface roughness for microwave remote sensing applications
P Marzahn, M Seidel, R Ludwig
Remote Sensing 4 (7), 2016-2032, 2012
Comparison of TerraSAR-X and ALOS PALSAR differential interferometry with multisource DEMs for monitoring ground displacement in a discontinuous permafrost region
L Wang, P Marzahn, M Bernier, A Jacome, J Poulin, R Ludwig
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
Comparison of the GPM IMERG final precipitation product to RADOLAN weather radar data over the topographically and climatically diverse Germany
T Ramsauer, T Weiß, P Marzahn
Remote Sensing 10 (12), 2029, 2018
On the estimation of tree mortality and liana infestation using a deep self-encoding network
W Li, C Campos-Vargas, P Marzahn, A Sanchez-Azofeifa
International Journal of Applied Earth Observation and Geoinformation 73, 1-13, 2018
L-band radiometer experiment in the SMOS test site upper danube
F Schlenz, T Gebhardt, A Loew, P Marzahn, W Mauser
EGUGA, 9677, 2010
Validation of Sentinel-2 fAPAR products using ground observations across three forest ecosystems
B Putzenlechner, S Castro, R Kiese, R Ludwig, P Marzahn, I Sharp, ...
Remote Sensing of Environment 232, 111310, 2019
Assessing the variability and uncertainty of two-flux FAPAR measurements in a conifer-dominated forest
B Putzenlechner, P Marzahn, R Kiese, R Ludwig, A Sanchez-Azofeifa
Agricultural and Forest Meteorology 264, 149-163, 2019
Mapping permafrost landscape features using object-based image classification of multi-temporal SAR images
L Wang, P Marzahn, M Bernier, R Ludwig
ISPRS Journal of Photogrammetry and Remote Sensing 141, 10-29, 2018
Flood Monitoring in Vegetated Areas Using Multitemporal Sentinel-1 Data: Impact of Time Series Features
V Tsyganskaya, S Martinis, P Marzahn
Water 11 (9), 1938, 2019
A fuzzy logic-based approach for the detection of flooded vegetation by means of synthetic aperture radar data
V Tsyganskaya, S Martinis, A Twele, W Cao, A Schmitt, P Marzahn, ...
The international archives of photogrammetry, remote sensing and spatial …, 2016
Assessing Moisture Conditions of Heterogeneous land surfaces through Hyperspectral Analysis of Water Absorption Features
T Hank, P Marzahn, F Schlenz, W Mauser
Proceedings of the ‘Hyperspectral Workshop, 2010
Canopy Temperature Differences between Liana-Infested and Non-Liana Infested Areas in a Neotropical Dry Forest
X Yuan, K Laakso, P Marzahn, GA Sanchez-Azofeifa
Forests 10 (10), 890, 2019
Multi-dimensional characterization of soil surface roughness for microwave remote sensing applications
P Marzahn
lmu, 2013
“Flashing Fields” and the impact of soil surface roughness
P Marzahn, U Wegmuller, F Mattia, R Ludwig
2012 IEEE International Geoscience and Remote Sensing Symposium, 6963-6966, 2012
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