Publications of Marco Lavalle

Articles in journal or book chapters

1. Josef Kellndorfer, Oliver Cartus, Marco Lavalle, Christophe Magnard, Pietro Milillo, Shadi Oveisgharan, Batu Osmanoglu, Paul A. Rosen, and Urs Wegmuller. Global seasonal Sentinel-1 interferometric coherence and backscatter data set. Scientific Data, 9(1):73, 2022. [Abstract] [bibtex-entry]



2. Gustavo H. X. Shiroma, Marco Lavalle, and Sean M. Buckley. An Area-Based Projection Algorithm for SAR Radiometric Terrain Correction and Geocoding. IEEE Transactions on Geoscience and Remote Sensing, 60:1-23, 2022. [Abstract] [bibtex-entry]



3. Ilgin Seker and Marco Lavalle. Tomographic Performance of Multi-Static Radar Formations: Theory and Simulations. Remote Sensing, 13(4), 2021. Keyword(s): SAR Processing, SAR Tomography, Multibaseline SAR, Multistatic SAR, Simulations, Spaceborne SAR, Airborne SAR. [Abstract] [bibtex-entry]



4. G. H. X. Shiroma and M. Lavalle. Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms. IEEE Transactions on Geoscience and Remote Sensing, 58(6):3754-3777, June 2020. Keyword(s): backscatter, forestry, optical radar, radar imaging, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation, vegetation mapping, digital terrain, canopy height models, InSAR backscatter-height histogram, interferometric synthetic aperture radar backscatter-height histograms, single-look backscatter measurements, InSAR phase height, InSAR histogram, LiDAR waveforms, ground topography, full-polarimetric L-band uninhabited aerial vehicle synthetic aperture radar data, forest height, Histograms, Laser radar, Forestry, Vegetation mapping, Backscatter, Synthetic aperture radar, Digital elevation models (DEMs), forest height, interferometry, L-band, polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR), polarimetry, SAR. [Abstract] [bibtex-entry]



5. Ibrahim El Moussawi, Dinh Ho Tong Minh, Nicolas Baghdadi, Chadi Abdallah, Jalal Jomaah, Olivier Strauss, Marco Lavalle, and Yen-Nhi Ngo. Monitoring Tropical Forest Structure Using SAR Tomography at L- and P-Band. Remote Sensing, 11(16), 2019. [Abstract] [bibtex-entry]



6. Unmesh Khati, Marco Lavalle, and Gulab Singh. Spaceborne tomography of multi-species Indian tropical forests. Remote Sensing of Environment, 229:193-212, 2019. Keyword(s): SAR Processing, SAR Tomography, TomoSAR, Tomography, TanDEM-X, TerraSAR-X, Tropical, Forest, India, Spaceborne SAR, X-band. [Abstract] [bibtex-entry]



7. Marco Lavalle and Scott Hensley. Extraction of Structural and Dynamic Properties of Forests From Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation. IEEE Trans. Geosci. Remote Sens., 53(9):4752-4767, September 2015. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Gaussian processes, optical radar, radar imaging, radar interferometry, radar polarimetry, synthetic aperture radar, vegetation mapping, Gaussian-statistic motion model, Harvard Forest, L-band NASA Uninhabited Aerial Vehicle Synthetic Aperture Radar, Laser Vegetation and Ice Sensor, Massachussetts, NASA lidar, RMoG model, RVoG model, USA, canopy elements, canopy motion, forest biomass estimation, forest dynamic property, forest property estimation, forest structural property, forest vertical structure, least square distance minimization, lidar-derived height, multiplicative factors, polarimetric channels, polarimetric-interferometric SAR data, polarimetric-interferometric coherence, polarimetric-interferometric radar image, random-motion-over-ground model, random-volume-over-ground model, temporal coherence, temporal decorrelation effect, tree height, volumetric coherence, volumetric decorrelation effect, wave polarization, Biomass, Coherence, Data models, Decorrelation, Radar, Vegetation, Decorrelation, interferometry, polarimetry. [Abstract] [bibtex-entry]



8. Marc Simard, Scott Hensley, Marco Lavalle, Ralph Dubayah, Naiara Pinto, and Michelle Hofton. An Empirical Assessment of Temporal Decorrelation Using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over Forested Landscapes. Remote Sensing, 4(4):975-986, 2012. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Differential Interferometry, DInSAR, SAR Interferometry, Coherence, Airborne SAR, UAVSAR, L-Band. [Abstract] [bibtex-entry]

Conference articles

1. M. Lavalle, C. Telli, N. Pierdicca, U. Khati, O. Cartus, and J. Kellndorfer. Global Sentinel-1 InSAR Coherence: Opportunities for Model-Based Estimation of Land Parameters. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 1133-1136, July 2022. [bibtex-entry]

Internal reports

1. Malcolm Davidson, Marco Chini, Wolfgang Dierking, Samuel Djavidnia, Joerg Haarpaintner, Guillaume Hajduch, Gaia Vaglio Laurin, Marco Lavalle, Carlos Lopez Martinez, Thomas Nagler, Nazzarreno Pierdicca, and Bob Su. Copernicus L-band SAR Mission Requirements Document (MRD). Technical report 2.0, ESA/ESTEC, October 2019. Note: ESA-EOPSM-CLIS-MRD-3371. Keyword(s): L-band, ROSE-L, Copernicus, Copernicus L-band SAR, ESA, spaceborne SAR, SAR Interferometry, deformation, displacement, ground motion, geohazards, sea ice types, detection of icebergs, forest, monitoring, changes in global forest carbon stocks, carbon stocks, Agriculture, food security, mapping of water availability, water use, soil moisture, moisture, glacier, ice sheets, climate change, maritime surveillance. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.

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