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Your search keyword '"Rüdiger, Christoph"' showing total 169 results
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169 results on '"Rüdiger, Christoph"'

2. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Author

Duncanson, Laura, Kellner, James R, Armston, John, Dubayah, Ralph, Minor, David M, Hancock, Steven, Healey, Sean P, Patterson, Paul L, Saarela, Svetlana, Marselis, Suzanne, Silva, Carlos E, Bruening, Jamis, Goetz, Scott J, Tang, Hao, Hofton, Michelle, Blair, Bryan, Luthcke, Scott, Fatoyinbo, Lola, Abernethy, Katharine, Alonso, Alfonso, Andersen, Hans-Erik, Aplin, Paul, Baker, Timothy R, Barbier, Nicolas, Bastin, Jean Francois, Biber, Peter, Boeckx, Pascal, Bogaert, Jan, Boschetti, Luigi, Boucher, Peter Brehm, Boyd, Doreen S, Burslem, David FRP, Calvo-Rodriguez, Sofia, Chave, Jérôme, Chazdon, Robin L, Clark, David B, Clark, Deborah A, Cohen, Warren B, Coomes, David A, Corona, Piermaria, Cushman, KC, Cutler, Mark EJ, Dalling, James W, Dalponte, Michele, Dash, Jonathan, de-Miguel, Sergio, Deng, Songqiu, Ellis, Peter Woods, Erasmus, Barend, Fekety, Patrick A, Fernandez-Landa, Alfredo, Ferraz, Antonio, Fischer, Rico, Fisher, Adrian G, García-Abril, Antonio, Gobakken, Terje, Hacker, Jorg M, Heurich, Marco, Hill, Ross A, Hopkinson, Chris, Huang, Huabing, Hubbell, Stephen P, Hudak, Andrew T, Huth, Andreas, Imbach, Benedikt, Jeffery, Kathryn J, Katoh, Masato, Kearsley, Elizabeth, Kenfack, David, Kljun, Natascha, Knapp, Nikolai, Král, Kamil, Krůček, Martin, Labrière, Nicolas, Lewis, Simon L, Longo, Marcos, Lucas, Richard M, Main, Russell, Manzanera, Jose A, Martínez, Rodolfo Vásquez, Mathieu, Renaud, Memiaghe, Herve, Meyer, Victoria, Mendoza, Abel Monteagudo, Monerris, Alessandra, Montesano, Paul, Morsdorf, Felix, Næsset, Erik, Naidoo, Laven, Nilus, Reuben, O’Brien, Michael, Orwig, David A, Papathanassiou, Konstantinos, Parker, Geoffrey, Philipson, Christopher, Phillips, Oliver L, Pisek, Jan, Poulsen, John R, Pretzsch, Hans, and Rüdiger, Christoph

Subjects
Earth Sciences, LiDAR, GEDI, Waveform, Forest, Aboveground biomass, Modeling, Physical Geography and Environmental Geoscience, Geomatic Engineering, Geological & Geomatics Engineering, Earth sciences
Abstract

NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI's footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies, and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI's waveform-to-biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g. RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AGBD and/or height metrics. There was considerable variability in model performance across geographic strata, and areas with sparse training data and/or high AGBD values had the poorest performance. These models are used to produce global predictions of AGBD, but will be improved in the future as more and better training data become available.

Published
2022

3. Interferometric SAR modelling of near surface data to improve geological model in the Surat Basin, Australia

Author

Moghaddam, Negin Fouladi, Nourollah, Hadi, Vasco, Donald W, Samsonov, Sergey V, and Rüdiger, Christoph

Subjects
Earth Sciences, Geology, Geophysics, Geophysical inverse modelling, Unconventional hydrocarbon, InSAR, Ground surface deformation, Seismic acquisitions, Subsurface structures, Geomatic Engineering, Geochemistry & Geophysics, Geoinformatics, Environmental management
Abstract

This paper presents a study on geophysical inverse modelling for subsurface structural properties of an unconventional hydrocarbon site that was monitored previously by Interferometric Synthetic Aperture Radar (InSAR) technology for surface deformation. A static three-dimensional geomodel along with extracted property maps replicates the depth of each underlying stratigraphic unit and structural feature with the density of each geological layer. We examine the hypothesis that integration of elastic properties of each formation layer with InSAR observations in a stratified elastic medium will lead to a viscoelastic geophysical inverse problem that can be solved to estimate fractional volume change at the reservoir level. Moreover, we examine synthetic scenarios in which the elastic properties of the formations are perturbed before determining the resulting impact on the rate of surface deformation. The results show that although the slope of underlying formations, their density and depth can define the extent and pattern of a deformation signal, their properties have a marginal impact on volumetric change compared to the dense network of shallow depth Coal Seam Gas (CSG) mining wells. Besides, it is also demonstrated that the inversion of InSAR deformation maps can resolve the uncertainties associated with low-resolution seismic interpretation as well as filling the data gaps within seismic acquisitions. A significant contribution of this investigation to the geological basin modelling involves a) introducing a remote and non-invasive technology such as InSAR to improve geophysical mapping of subsurface structures such as faults in areas with sparse or no reflective seismic information, and b) applying a multi-layer viscoelastic geophysical source model for an unconventional hydrocarbon reservoir such as CSG.

Published
2021

8. Comprehensive analysis of alternative downscaled soil moisture products

Author

Sabaghy, Sabah, Walker, Jeffrey P., Renzullo, Luigi J., Akbar, Ruzbeh, Chan, Steven, Chaubell, Julian, Das, Narendra, Dunbar, R. Scott, Entekhabi, Dara, Gevaert, Anouk, Jackson, Thomas J., Loew, Alexander, Merlin, Olivier, Moghaddam, Mahta, Peng, Jian, Peng, Jinzheng, Piepmeier, Jeffrey, Rüdiger, Christoph, Stefan, Vivien, Wu, Xiaoling, Ye, Nan, and Yueh, Simon

Published
2020
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30. Measuring the moment-to-moment variability of tinnitus: the TrackYourTinnitus smart phone app

Author

Winfried Schlee, Rüdiger Christoph Pryss, Thomas Probst, Johannes Schobel, Alexander Bachmeier, Manfred Reichert, and Berthold Langguth

Subjects
chronic tinnitus, Ecological Momentary Assessment, Ecological Validity, crowd sourcing, Smartphone application, Moment-to-moment analysis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Tinnitus, the phantom perception of sound without a corresponding external sound, is a frequent disorder which causes significant morbidity. So far there is no treatment available that reliably reduces the tinnitus perception. The research is hampered by the large heterogeneity of tinnitus and the fact that the tinnitus perception fluctuates over time. It is therefore necessary to develop tools for measuring fluctuations of tinnitus perception over time and for analysing data on single subject basis. However, this type of longitudinal measurement is difficult to perform using the traditional research methods such as paper-and-pencil questionnaires or clinical interviews. Ecological Momentary Assessment (EMA) represents a research concept that allows the assessment of subjective measurements under real-life conditions using portable electronic devices and thereby enables the researcher to collect longitudinal data under real-life conditions and high cost efficiency. Here we present a new method for recording the longitudinal development of tinnitus perception using a modern smartphone application available for iOS and Android devices with no costs for the users. The TrackYourTinnitus app is available and maintained since April 2014. A number of 857 volunteers with an average age of 44.1 years participated in the data collection between April 2014 and February 2016. The mean tinnitus distress at the initial measurement was rated on average 13.9 points on the Mini-Tinnitus Questionnaire (max. 24 points). Importantly, we could demonstrate that the regular use of the TrackYourTinnitus app has no significant negative influence on the perception of the tinnitus loudness nor on the tinnitus distress. The TrackYourTinnitus app can therefore be proposed as a safe instrument for the longitudinal assessment of tinnitus perception in the everyday life of the patient.

Published
2016
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32. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Author

Duncanson, Laura, primary, Kellner, James R., additional, Armston, John, additional, Dubayah, Ralph, additional, Minor, David M., additional, Hancock, Steven, additional, Healey, Sean P., additional, Patterson, Paul L., additional, Saarela, Svetlana, additional, Marselis, Suzanne, additional, Silva, Carlos E., additional, Bruening, Jamis, additional, Goetz, Scott J., additional, Tang, Hao, additional, Hofton, Michelle, additional, Blair, Bryan, additional, Luthcke, Scott, additional, Fatoyinbo, Lola, additional, Abernethy, Katharine, additional, Alonso, Alfonso, additional, Andersen, Hans-Erik, additional, Aplin, Paul, additional, Baker, Timothy R., additional, Barbier, Nicolas, additional, Bastin, Jean Francois, additional, Biber, Peter, additional, Boeckx, Pascal, additional, Bogaert, Jan, additional, Boschetti, Luigi, additional, Boucher, Peter Brehm, additional, Boyd, Doreen S., additional, Burslem, David F.R.P., additional, Calvo-Rodriguez, Sofia, additional, Chave, Jérôme, additional, Chazdon, Robin L., additional, Clark, David B., additional, Clark, Deborah A., additional, Cohen, Warren B., additional, Coomes, David A., additional, Corona, Piermaria, additional, Cushman, K.C., additional, Cutler, Mark E.J., additional, Dalling, James W., additional, Dalponte, Michele, additional, Dash, Jonathan, additional, de-Miguel, Sergio, additional, Deng, Songqiu, additional, Ellis, Peter Woods, additional, Erasmus, Barend, additional, Fekety, Patrick A., additional, Fernandez-Landa, Alfredo, additional, Ferraz, Antonio, additional, Fischer, Rico, additional, Fisher, Adrian G., additional, García-Abril, Antonio, additional, Gobakken, Terje, additional, Hacker, Jorg M., additional, Heurich, Marco, additional, Hill, Ross A., additional, Hopkinson, Chris, additional, Huang, Huabing, additional, Hubbell, Stephen P., additional, Hudak, Andrew T., additional, Huth, Andreas, additional, Imbach, Benedikt, additional, Jeffery, Kathryn J., additional, Katoh, Masato, additional, Kearsley, Elizabeth, additional, Kenfack, David, additional, Kljun, Natascha, additional, Knapp, Nikolai, additional, Král, Kamil, additional, Krůček, Martin, additional, Labrière, Nicolas, additional, Lewis, Simon L., additional, Longo, Marcos, additional, Lucas, Richard M., additional, Main, Russell, additional, Manzanera, Jose A., additional, Martínez, Rodolfo Vásquez, additional, Mathieu, Renaud, additional, Memiaghe, Herve, additional, Meyer, Victoria, additional, Mendoza, Abel Monteagudo, additional, Monerris, Alessandra, additional, Montesano, Paul, additional, Morsdorf, Felix, additional, Næsset, Erik, additional, Naidoo, Laven, additional, Nilus, Reuben, additional, O’Brien, Michael, additional, Orwig, David A., additional, Papathanassiou, Konstantinos, additional, Parker, Geoffrey, additional, Philipson, Christopher, additional, Phillips, Oliver L., additional, Pisek, Jan, additional, Poulsen, John R., additional, Pretzsch, Hans, additional, Rüdiger, Christoph, additional, Saatchi, Sassan, additional, Sanchez-Azofeifa, Arturo, additional, Sanchez-Lopez, Nuria, additional, Scholes, Robert, additional, Silva, Carlos A., additional, Simard, Marc, additional, Skidmore, Andrew, additional, Stereńczak, Krzysztof, additional, Tanase, Mihai, additional, Torresan, Chiara, additional, Valbuena, Ruben, additional, Verbeeck, Hans, additional, Vrska, Tomas, additional, Wessels, Konrad, additional, White, Joanne C., additional, White, Lee J.T., additional, Zahabu, Eliakimu, additional, and Zgraggen, Carlo, additional

Published
2022
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34. The International Soil Moisture Network: serving Earth system science for over a decade

Author

Dorigo, Wouter, primary, Himmelbauer, Irene, additional, Aberer, Daniel, additional, Schremmer, Lukas, additional, Petrakovic, Ivana, additional, Zappa, Luca, additional, Preimesberger, Wolfgang, additional, Xaver, Angelika, additional, Annor, Frank, additional, Ardö, Jonas, additional, Baldocchi, Dennis, additional, Bitelli, Marco, additional, Blöschl, Günter, additional, Bogena, Heye, additional, Brocca, Luca, additional, Calvet, Jean-Christophe, additional, Camarero, J. Julio, additional, Capello, Giorgio, additional, Choi, Minha, additional, Cosh, Michael C., additional, van de Giesen, Nick, additional, Hajdu, Istvan, additional, Ikonen, Jaakko, additional, Jensen, Karsten H., additional, Kanniah, Kasturi Devi, additional, de Kat, Ileen, additional, Kirchengast, Gottfried, additional, Kumar Rai, Pankaj, additional, Kyrouac, Jenni, additional, Larson, Kristine, additional, Liu, Suxia, additional, Loew, Alexander, additional, Moghaddam, Mahta, additional, Martínez Fernández, José, additional, Mattar Bader, Cristian, additional, Morbidelli, Renato, additional, Musial, Jan P., additional, Osenga, Elise, additional, Palecki, Michael A., additional, Pellarin, Thierry, additional, Petropoulos, George P., additional, Pfeil, Isabella, additional, Powers, Jarrett, additional, Robock, Alan, additional, Rüdiger, Christoph, additional, Rummel, Udo, additional, Strobel, Michael, additional, Su, Zhongbo, additional, Sullivan, Ryan, additional, Tagesson, Torbern, additional, Varlagin, Andrej, additional, Vreugdenhil, Mariette, additional, Walker, Jeffrey, additional, Wen, Jun, additional, Wenger, Fred, additional, Wigneron, Jean Pierre, additional, Woods, Mel, additional, Yang, Kun, additional, Zeng, Yijian, additional, Zhang, Xiang, additional, Zreda, Marek, additional, Dietrich, Stephan, additional, Gruber, Alexander, additional, van Oevelen, Peter, additional, Wagner, Wolfgang, additional, Scipal, Klaus, additional, Drusch, Matthias, additional, and Sabia, Roberto, additional

Published
2021
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36. Improved GNSS-R Altimetry Methods: Theory and Experimental Demonstration Using Airborne Dual Frequency Data from the Microwave Interferometric Reflectometer (MIR)

Author

Nogués, Oriol Cervelló i, primary, Munoz-Martin, Joan Francesc, additional, Park, Hyuk, additional, Camps, Adriano, additional, Onrubia, Raul, additional, Pascual, Daniel, additional, Rüdiger, Christoph, additional, Walker, Jeffrey P., additional, and Monerris, Alessandra, additional

Published
2021
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42. Soil Moisture Product Validation Good Practices Protocol

Author

Montzka, Carsten, Cosh, Michael H., Bayat, Bagher, Al Bitar, Ahmad, Berg, Aaron, Bindlish, Rajat, Reemt Bogena, Heye, Bolten, John D., Cabot, Francois, Caldwell, Todd, Chan, Steven, Colliander, Andreas, Crow, Wade, Das, Narendra N., De Lannoy, Gabrielle, Dorigo, Wouter, Evett, Steven R., Gruber, Alexander, Hahn, Sebastian, Jagdhuber, Thomas, Jones, Scott, Kerr, Yann, Kim, Seungbum, Koyama, Christian, Kurum, Mehmed, Lopez-Baeza, Ernesto, Mattia, Francesco, McColl, Kaighin A., Mecklenburg, Susanne, Mohanty, Binayak, O ́Neill, Peggy, Or, Dani, Pellarin, Thierry, Petropoulos, George P., Piles, Maria, Reichle, Rolf H., Rodriguez-Fernandez, Nemesio, Rüdiger, Christoph, Scanlon, Tracy, Schwartz, Robert C., Spengler, Daniel, Srivastava, Prashant, Suman, Swati, van der Schalie, Robin, Wagner, Wolfgang, Wegmüller, Urs, Wigneron, Jean-Pierre, Camacho, Fernando, and Nickeson, Jaime

Subjects
good practices, ddc:610, protocol, soil moisture, product validation
Published
2020

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