36 Hits in 7.2 sec

2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50

2012 IEEE Transactions on Geoscience and Remote Sensing  
Mattar, C., +, TGRS May 2012 1404-1413 A First Assessment of the SMOS Soil Moisture Product With In Situ and Modeled Data in Italy and Luxembourg.  ...  ., +, TGRS Dec. 2012 5024-5032 A Potential Use for the C-Band Polarimetric SAR Parameters to Characterize the Soil Surface Over Bare Agriculture Fields.  ...  Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012  ... 
doi:10.1109/tgrs.2012.2229656 fatcat:hjrotpfsqzhxlnnme27ftv33cu

Synergies for Soil Moisture Retrieval Across Scales From Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network

B. Fersch, T. Jagdhuber, M. Schrön, I. Völksch, M. Jäger
2018 Water Resources Research  
In this study, the performance and synergistic potential of these complementary methods is investigated for the determination of soil moisture within a 55 km 2 Alpine foothill river catchment in Southern  ...  The results indicate that the sensor network data provide valuable information to calibrate the mobile CRNS rover, and to optimize the vegetation removal within the polarimetric SAR retrieval algorithm  ...  In the present study, we apply a polarimetric retrieval technique for soil moisture estimation under vegetation cover based on airborne SAR remote sensing data acquired at L band (wavelength ∼ 21 cm).  ... 
doi:10.1029/2018wr023337 fatcat:cl6ig7vwg5dxde7cy5hyhs6kdm

Estimation of Soil Moisture in an Alpine Catchment with RADARSAT2 Images

L. Pasolli, C. Notarnicola, L. Bruzzone, G. Bertoldi, S. Della Chiesa, V. Hell, G. Niedrist, U. Tappeiner, M. Zebisch, F. Del Frate, G. Vaglio Laurin
2011 Applied and Environmental Soil Science  
In this paper, the effectiveness of RADARSAT2 SAR images for the estimation of soil moisture in an alpine catchment is investigated.  ...  Soil moisture retrieval is one of the most challenging problems in the context of biophysical parameter estimation from remotely sensed data.  ...  In particular, the combined use of C and L band microwave signals has shown to be particularly suitable in order to disentangle the vegetation contribution from that of the soil [10] .  ... 
doi:10.1155/2011/175473 fatcat:cugcit3x6bhl3jwdje4owy57sm

Table of contents

2019 IEEE Transactions on Geoscience and Remote Sensing  
Chen 342 Microwave Radiometry Improving the Spatial Bias Correction Algorithm in SMOS Image Reconstruction Processor: Validation of Soil Moisture Retrievals With In Situ Data ..........................  ...  Nehorai 250 A Robust Framework for Covariance Classification in Heterogeneous Polarimetric SAR Images and Its Application to L-Band Data ................................................................  ... 
doi:10.1109/tgrs.2018.2886674 fatcat:jolrawv3zbf2tcablkav2tcddy

Front Matter: Volume 8536

Claudia Notarnicola, Simonetta Paloscia, Nazzareno Pierdicca
2012 SAR Image Analysis, Modeling, and Techniques XII  
Notarnicola, EURAC research (Italy) iv Proc. of SPIE Vol. 8536 853601-4 Mapping spatial and temporal patterns of soil moisture with ASAR imagery in the Alps [8536-22] L. Pasolli, C.  ...  Brekke, Univ. of Tromsø (Norway) SAR IN HYDROLOGY 8536 0K Future use of the data from the ESA Sentinel-1 mission for operational soil moisture mapping: a multitemporal algorithm [8536-20] N.  ... 
doi:10.1117/12.2015430 dblp:conf/sar/X12 fatcat:efsrsmiq6fhspkq3bqqwvwrf5u

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
Hu, C., Li, W., Wang, R., Long, T., Liu, C., and Drake, V.A., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C.  ...  2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format  ...  ., +, TGRS Feb. 2019 788-802 Soil and Vegetation Scattering Contributions in L-Band and P-Band Polarimetric SAR Observations.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

Neural Networks Applications for the Remote Sensing of Hydrological Parameters [chapter]

Emanuele Santi
2016 Artificial Neural Networks - Models and Applications  
These algorithms aim at retrieving the main hydrological parameters, namely the soil moisture content (SMC), the plant water content (PWC) of agricultural vegetation, the woody volume of forests (WV) and  ...  the snow depth (SD) or snow water equivalent (SWE), from data collected by active (SAR/scatterometers) and passive (radiometers) microwave sensors operating from space.  ...  Acknowledgements Author details Emanuele Santi Address all correspondence to: Institute of Applied Physics, National Research Council (IFAC-CNR), Florence, Italy  ... 
doi:10.5772/63165 fatcat:y3agbcgnczfd5aaxu5e6ihr4eq

Front Matter: Volume 8179

Proceedings of SPIE
2011 SAR Image Analysis, Modeling, and Techniques XI  
Torres, European Space Agency (Netherlands) 8179 03 Comparison of L and C band polarimetric SAR data for the retrieval of soil moisture in the Alps [8179-02] L.  ...  Reppucci, Starlab (Spain) 8179 06 Retrieval of soil surface parameters via a polarimetric two-scale model in hilly or mountainous areas [8179-35] A. Iodice, A. Natale, D.  ...  The research and development support team collaboration between the EPA and NGA to evolve the capabilities of the ASPECT Program has resulted in the following significant accomplishments: Near-real-time  ... 
doi:10.1117/12.918184 dblp:conf/sar/X11 fatcat:qaxg7m2eefcdfh2s7qcsnao3xe

Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover

Manickam, Barros
2020 Remote Sensing  
Sentinel-1 C-band (SAR) backscattering coefficients (BSC) were analyzed in the Swiss Alps (SA), in high elevation forest and grasslands in Grand Mesa (GM), Colorado, and in North Dakota (ND) croplands.  ...  L-band measurements in GM.  ...  The authors also thankful to the MeteoSwiss for the Swiss Alps ground station data. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12030483 fatcat:qai73fmf2zhuvnkbdceahmnloe

Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing

Leung Tsang, Michael Durand, Chris Derksen, Ana P. Barros, Do-Hyuk Kang, Hans Lievens, Hans-Peter Marshall, Jiyue Zhu, Joel Johnson, Joshua King, Juha Lemmetyinen, Melody Sandells (+16 others)
2022 The Cryosphere  
In this paper, we review the potential contribution of X- and Ku-band synthetic aperture radar (SAR) for global monitoring of SWE.  ...  This review serves to inform the broader snow research, monitoring, and application communities on progress made in recent decades and sets the stage for a new era in SWE remote sensing from SAR measurements  ...  The use of a C-band-measured time series together with the past L-band time series data enhances the existing L-band algorithm in retrieving rms height and soil moisture, and the retrieval is performed  ... 
doi:10.5194/tc-16-3531-2022 fatcat:3uy3h7gsgvaavgpi7gm6ttzdti

Remote Sensing of Snow Cover Using Spaceborne SAR: A Review

Ya-Lun S. Tsai, Andreas Dietz, Natascha Oppelt, Claudia Kuenzer
2019 Remote Sensing  
and polarimetric SAR (PolSAR) have been developed since the launch of ERS-1 in 1991 to monitor snow cover under both dry and wet snow conditions.  ...  In addition to widely applied backscattering-based method, thanks to the advancements of spaceborne SAR sensors and image processing techniques, many new approaches based on interferometric SAR (InSAR)  ...  Acknowledgments: Support by the German Academic Exchange Service (DAAD) fellowship to Ya-Lun S. Tsai is gratefully acknowledged. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11121456 fatcat:yo5qexaq45fcnj2o6ujh4aezje

Table of Contents

2020 IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium  
of Natural Resources of China, ChinaTH1-R1.10: COMPARISON OF SMAP RETRIEVAL SOIL MOISTURE LEVEL 2 PRODUCT .................................... 4727 WITH IN SITU MEASUREMENTS OVER CORN FIELDS IN CENTRAL  ...  The Ohio State University, United States; Rajat Bindlish, NASA Goddard Space Flight Center, United States TH1-R1.2: SOIL MOISTURE RETRIEVAL USING SAR .... 4696 DESCRIPTORS IN WATER CLOUD MODEL Narayanarao  ... 
doi:10.1109/igarss39084.2020.9323828 fatcat:6aittajt35gufeaugcmemu5cya

Evaluation of multi-orbital SAR and multi-sensor optical data for empirical estimation of rapeseed biophysical parameters

Aubin Allies, Antoine Roumiguie, Jean-Francois Dejoux, Remy Fieuzal, Anne Jacquin, Amanda Veloso, Luc Champolivier, Frederic Baup
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Results particularly reveal the complementarity of SAR and optical data for rapeseed crop monitoring throughout its phenological cycle.  ...  This paper aims to evaluate the potential of multitemporal and multi-orbital remote sensing data acquired both in the microwave and optical domain to derive rapeseed biophysical parameters (crop height  ...  He is involved in 1) the development of inversion method for the estimation of surface parameters (soil and vegetation) from multifrequency microwave data (X, C and L band), 2) the combination of optical  ... 
doi:10.1109/jstars.2021.3095537 fatcat:up2kmyxwgbajdh4w3ao7evk63i

The Potential of Spaceborne GNSS Reflectometry for Soil Moisture, Biomass, and Freeze–Thaw Monitoring: Summary of a European Space Agency-Funded Study

Nazzareno Pierdicca, Davide Comite, Adriano Camps, Hugo Carreno-Luengo, Luca Cenci, Maria Paola Clarizia, Fabiano Costantini, Laura Dente, Leila Guerriero, Antonio Mmollfulleda, Simonetta Paloscia, Hyuk Park (+3 others)
2021 IEEE Geoscience and Remote Sensing Magazine  
The encouraging sensitivity outcomes led to the development of retrieval algorithms, three different approaches for soil moisture and one for biomass based on neural networks.  ...  The main approaches and outcomes are summarized here also in comparison to the recent literature.  ...  Also, the synergy between GNSS-R and monostatic radar SAR is promising, as GNSS-R sensitivity is kept for biomass values larger than the typical saturation threshold in L-band backscatter (~150 ton/ha)  ... 
doi:10.1109/mgrs.2021.3115448 fatcat:tyhtbaxhpfagvhj65qwgl7hzya

Sentinel-1 InSAR Coherence for LandCover Mapping: A comparison of multiple feature-based classifiers

Alexander Jacob, Claudia Notarnicola, Gopika Suresh, Oleg Antropov, Shaojia Ge, Jaan Praks, Yifang Ban, Eric Pottier, Jordi Mallorqui, Javier Duro, Marcus Engdahl, Fernando Vicente-Guijalba (+7 others)
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
of distinct input features in the SAR domain-interferometric coherence, backscattered intensities, and polarization.  ...  This article investigates and demonstrates the suitability of the Sentinel-1 interferometric coherence for land cover and vegetation mapping.  ...  ACKNOWLEDGMENT The authors would like to thank B. Ventura for organizing the efficient access to the Sentinel-1 SLC data and L. Cattani for his efforts of setting up the Jupyter-hub environment.  ... 
doi:10.1109/jstars.2019.2958847 fatcat:kuyt72vdozgezleymh7hn3yxu4
« Previous Showing results 1 — 15 out of 36 results