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Meeting the Big Synthetic Aperture Radar Data Processing Challenge: Introducing the Software for Earth big data Processing, Prediction modeling, and Organization cloud-scaling solution
IEEE Geoscience and Remote Sensing Magazine
Year: 2025 | Early Access Article |
With the launch of NISAR, available open access Earth Observation data reaches a new milestone with an estimated data rate of ∼70 Terabytes of NISAR science data produced daily. This additional data creates many opportunities within the science and user community for new and more indepth analyses, yet at the same time, most organizations lack the budget, resources, and skills to analyze all this d...Show More
Model-Based Retrieval of Forest Parameters From Sentinel-1 Coherence and Backscatter Time Series
M. Lavalle;C. Telli;N. Pierdicca;U. Khati;O. Cartus;J. Kellndorfer
This letter describes a model-based algorithm for estimating tree height and other bio-physical land parameters from time series of synthetic aperture radar (SAR) interferometric coherence and backscatter supported by sparse lidar data. The random-motion-over-ground model (RMoG) is extended to time series and revisited to capture the short- and long-term temporal coherence variability caused by mo...Show More
Global Sentinel-1 Insar Coherence: Opportunities for Model-Based Estimation of Land Parameters
M. Lavalle;C. Telli;N. Pierdicca;U. Khati;O. Cartus;J. Kellndorfer
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Year: 2022 | Conference Paper |
In this paper, we assess the estimation of bio-physical land parameters from time-series of interferometric SAR coherence supported by a physical model. The random-motion-over-ground model (RMoG) is revisited to partially capture the short- and long-term temporal variability of the coherence caused by motion of the scatterers and changes in their dielectric properties. The recently-published globa...Show More
Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring
Oleg Antropov;Jukka Miettinen;Tuomas Häme;Rauste Yrjö;Lauri Seitsonen;Ronald E McRoberts;Maurizio Santoro;Oliver Cartus;Natalia Malaga Duran;Martin Herold;Matteo Pardini;Kostas Papathanassiou;Irena Hajnsek
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Year: 2022 | Conference Paper |
Cited by: Papers (2)
ESA Forest Carbon Monitoring project (FCM) is developing Earth Observation based, user-centric approaches for forest carbon monitoring. Forest carbon accounting based on forest inventory requires precise and timely estimation of forest variables at various spatial levels accompanied by verifiable uncertainty information. In this paper, we present the algorithm trade-off and selection approach and ...Show More
Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring
Oleg Antropov;Jukka Miettinen;Tuomas Häme;Rauste Yrjö;Lauri Seitsonen;Ronald E McRoberts;Maurizio Santoro;Oliver Cartus;Natalia Malaga Duran;Martin Herold;Matteo Pardini;Kostas Papathanassiou;Irena Hajnsek
Year: 2022 | Conference Paper |
Sentinel-1 Coherence for Mapping Above-Ground Biomass in Semiarid Forest Areas
Oliver Cartus;Maurizio Santoro;Urs Wegmüller;Nicolas Labrière;Jérôme Chave
The interferometric coherence of repeat-pass C-band synthetic aperture radar observations has shown potential for mapping forest above-ground biomass (AGB) when images were acquired with short temporal repeat intervals and under stable environmental conditions. Since 2014, Sentinel-1 collects repeated interferometric image pairs at global scale with repeat intervals of 6 or 12 days. For a semiarid...Show More
Estimation of Forest Above-Ground Biomass with C-Band Scatterometer Backscatter Observations
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Year: 2020 | Conference Paper |
C-band scatterometer data are among the longest time record of spaceborne observations, dating back to 1991. Their use in the context of terrestrial carbon cycle studies has not been investigated yet. In spite of a weak sensitivity of the C-band backscatter to forest above-ground biomass (AGB), repeated observations have been shown to support the retrieval of biomass. In this paper, we investigate...Show More
Sensitivity of Sentinel-1 Interferometric Coherence to Crop Structure and Soil Moisture
Davide Palmisano;Giuseppe Satalino;Anna Balenzano;Fabio Bovenga;Francesco Mattia;Michele Rinaldi;Sergio Ruggieri;Henning Skriver;Malcolm W.J. Davidson;Oliver Cartus;Urs Wegmuller
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Year: 2019 | Conference Paper |
Cited by: Papers (2)
This paper investigates the sensitivity of Sentinel-1 (S-1) interferometric coherence to crop structure and near surface soil moisture (SSM) content. The study analyzes a data set collected in 2017 over the Apulian Tavoliere agricultural site (Southern Italy). The data set includes: i) in situ data over more than 600 agricultural fields monitored during the 2017 winter and spring growing seasons; ...Show More
Cross-Comparison of Three SAR Soil Moisture Retrieval Algorithms Using Synthetic and Experimental Data
A. Balenzano;G. Satalino;F. Lovergine;F. Mattia;O. Cartus;M. Davidson;M. Al-Khaldi;J. Johnson
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Year: 2018 | Conference Paper |
Cited by: Papers (1)
The objective of this study is to cross-compare three algorithms for retrieving surface soil moisture (SSM) from ESA's Sentinel-1 (S-1) data. The context is provided by the large scientific and application interest in SSM products at high resolution and regional/continental scale that can be retrieved from S-l data alone or in combination with other missions such as NASA/SMAP and ESA/SMOS. Of the ...Show More
Sentinel-1 & Sentinel-2 for SOIL Moisture Retrieval at Field Scale
F. Mattia;A. Balenzano;G. Satalino;F. Lovergine;J. Peng;U. Wegmuller;O. Cartus;M. W J. Davidson;S. Kim;J. Johnson;J. Walker;X Wu;V.R.N Pauwels;H. McNairn;T. Caldwell;M. Cosh;T. Jackson
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Year: 2018 | Conference Paper |
Cited by: Papers (19)
Soil moisture content is an essential climate variable that is operationally delivered at low resolution (e.g. 36-9 km) by earth observation missions, such as ESA/SMOS, NASA/SMAP and EUMETSAT/ASCAT. However numerous land applications would benefit from the availability of soil moisture maps at higher resolution. For this reason, there is a large research effort to develop soil moisture products at...Show More
An Error Model for Mapping Forest Cover and Forest Cover Change Using L-Band SAR
We present an error model for forest cover mapping and change detection with L-band synthetic aperture radar (SAR), which considers measurement noise, forest height, number of images available, and imaging conditions. When applied to a multiseasonal set of Advanced Land Observing Satellite Phased-Array type L-band SAR images acquired over a forest site in southern Sweden, the error model, which is...Show More
Sentinel-1 high resolution soil moisture
F. Mattia;A. Balenzano;G. Satalino;F. Lovergine;A. Loew;J. Peng;U. Wegmuller;M. Santoro;O. Cartus;K. Dabrowska-Zielinska;J. Musial;M. W. J. Davidson;S. Yueh;S. Kim;N. Das;A. Colliander;J. Johnson;J. Ouellette;J. Walker;X. Wu;H. McNairn;A. Merzouki;J. Powers;T. Caldwell;D. Entekhabi;M. Cosh;T. Jackson
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Year: 2017 | Conference Paper |
Cited by: Papers (6)
The systematic retrieval of near surface soil moisture (SSM) fields at high resolution (e.g., 0.1-1.0 km) is a challenging task that requires the exploitation of new retrieval algorithms and SAR data with advanced observational capabilities (in terms of spatial/temporal resolution, radiometric accuracy, very large swath, long-term continuity and rapid data dissemination). The launch of the Sentine...Show More
Sentinel-1 high resolution soil moisture
F. Mattia;A. Balenzano;G. Satalino;F. Lovergine;A. Loew;J. Peng;U. Wegmuller;M. Santoro;O. Cartus;K. Dabrowska-Zielinska;J. Musial;M. W. J. Davidson;S. Yueh;S. Kim;N. Das;A. Colliander;J. Johnson;J. Ouellette;J. Walker;X. Wu;H. McNairn;A. Merzouki;J. Powers;T. Caldwell;D. Entekhabi;M. Cosh;T. Jackson
Year: 2017 | Conference Paper |
Estimating total aboveground, stem and branch biomass using multi-frequency SAR
2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)
Year: 2017 | Conference Paper |
Cited by: Papers (3)
We have investigated the retrieval of total aboveground, stem and branch biomass using multi-temporal SAR data acquired at C-, L-, and P-band by Radarsat-2, ERS-2, ALOS PALSAR, and SETHI for a forest site in Sweden. A semi-empirical model was used to model C- and L-band backscatter as function of total aboveground, stem and branch biomass; a linear regression model was used for P-band. Calibrated ...Show More
Analysis of multi-temporal land observation at C-band
Carolin Thiel;Oliver Cartus;Robert Eckardt;Nicole Richter;Christian Thiel;Christiane Schmullius
2009 IEEE International Geoscience and Remote Sensing Symposium
Year: 2009 | Conference Paper |
Cited by: Papers (10)
The availability of reliable land cover information is crucial for a wide range of applications, like for example monitoring of land use change and land degradation as well as administrative matters in global, regional and local scales. In this paper the potential of SENTINEL-1 C-band SAR data for land cover applications, e.g. generating level-2 land cover classification products has been investig...Show More
Automatic Model Inversion of Multi-Temporal C-band Coherence and Backscatter Measurements for Forest Stem Volume Retrieval
Maurizio Santoro;Jan Askne;Christian Beer;Oliver Cartus;Christiane Schmullius;Urs Wegmuller;Andrea Wiesmann
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
Year: 2008 | Conference Paper |
Cited by: Papers (4)
Retrieval of forest stem volume from synthetic aperture (SAR) backscatter and interferometric SAR (InSAR) coherence is generally performed using a model-based approach, where in situ measurements are necessary to estimate the unknown model parameters. Problems arise when in situ data are either not available or of low quality or the observables present spatial variations. In this work we present t...Show More
Improvement of interferometric SAR coherence estimates by slope-adaptive range common-band filtering
2007 IEEE International Geoscience and Remote Sensing Symposium
Year: 2007 | Conference Paper |
Cited by: Papers (9)
The accuracy of SAR interferometric coherence estimates depends on the precision of several processing steps. In particular decorrelation can occur if range common-band filtering does not perform optimally. Typically a planar surface is adopted which introduces additional decorrelation in case of sloped terrain. To take into account topographic variations a slope-adaptive range common-band filteri...Show More
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