A5069711114- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil Moisture and Remote Sensing
- Remote Sensing and LiDAR Applications
- Cryospheric studies and observations
- Landslides and related hazards
- Advanced SAR Imaging Techniques
- Radiation Effects and Dosimetry
- Geophysics and Gravity Measurements
- Soil Geostatistics and Mapping
- Remote Sensing in Agriculture
- Planetary Science and Exploration
- Radiation Effects in Electronics
- Distributed and Parallel Computing Systems
- Photopolymerization techniques and applications
- Precipitation Measurement and Analysis
- Semiconductor materials and devices
- Epoxy Resin Curing Processes
- Forest ecology and management
- Silicone and Siloxane Chemistry
- Radiation Detection and Scintillator Technologies
- Scientific Computing and Data Management
- Silicon and Solar Cell Technologies
- Spacecraft Design and Technology
- Integrated Circuits and Semiconductor Failure Analysis
- Luminescence Properties of Advanced Materials
Jet Propulsion Laboratory
2014-2024
Radar (United States)
2015-2022
Lockheed Martin (Canada)
2022
California Institute of Technology
2011-2021
Imperial College London
2020
National Aeronautics and Space Administration
2019
ORCID
2018
University of Rome Tor Vergata
2007-2013
Institute of Organic Synthesis and Photoreactivity
2003-2010
Institut d'Électronique et des Technologies du numéRique
2009-2010
This paper describes a physical model of the temporal changes that occur in vegetated land surfaces observed by repeat-pass radar interferometer. We assume to be caused Gaussian-statistic motion vegetation elements, with variance changing along vertical direction. show correlation between two interferometric signals is affected structural parameters vegetation, such as canopy height, and varies wave polarization. validate using L-band data acquired Jet Propulsion Laboratory Uninhabited...
Abstract. NASADEM is a near-global elevation model that being produced primarily by completely reprocessing the Shuttle Radar Topography Mission (SRTM) radar data and then merging it with refined ASTER GDEM elevations. The new improved SRTM elevations in result from better vertical control of each swath via reference to ICESat void reductions using advanced interferometric unwrapping algorithms. Remnant voids will be filled GDEM3, but reduction glitches (mostly related clouds) therefore only...
This article investigates and demonstrates the suitability of Sentinel-1 interferometric coherence for land cover vegetation mapping. In addition, this study analyzes performance feature along with polarization intensity products according to different classification strategies algorithms. Seven workflows were evaluated, covering pixel- object-based analyses, unsupervised supervised classification, machine-learning classifiers, various effects distinct input features in SAR...
Detection of changes caused by major events-such as earthquakes, volcanic eruptions, and floods-from interferometric synthetic aperture radar (SAR) data is challenging because the coupled effects with temporal decorrelation natural phenomena, including rain, snow, wind, seasonal changes. The effect events phenomena sometimes leads to misinterpretation coherence maps often degrades performance change detection algorithms. To differentiate sources from those an event interest, we formulated a...
Forest height is an important forest biophysical parameter which used to derive information about ecosystems, such as above ground biomass. In this paper, the potential of combining Polarimetric Synthetic Aperture Radar (PolSAR) variables with LiDAR measurements for estimation investigated. This will be conducted using different machine learning algorithms including Random (RFs), Rotation (RoFs), Canonical Correlation (CCFs) and Support Vector Machine (SVMs). Various PolSAR parameters are...
In 2015 and 2016, the AfriSAR campaign was carried out as a collaborative effort among international space National Park agencies (ESA, NASA, ONERA, DLR, ANPN AGEOS) in support of upcoming ESA BIOMASS, NASA-ISRO Synthetic Aperture Radar (NISAR) NASA Global Ecosystem Dynamics Initiative (GEDI) missions. The contribution to conducted 2016 with LVIS (Land Vegetation Ice Sensor) Lidar, L-band UAVSAR (Uninhabited Aerial Vehicle Radar). A central motivation for deployment common AGBD estimation...
This data set is the first-of-its-kind spatial representation of multi-seasonal, global C-band Synthetic Aperture Radar (SAR) interferometric repeat-pass coherence and backscatter signatures. Coverage comprises land masses ice sheets from 82° Northern to 79° Southern latitudes. The derived multi-temporal processing about 205,000 Sentinel-1 SAR images acquired in Interferometric Wide-Swath Mode 1-Dec-2019 30-Nov-2020. encompasses three sets seasonal (December-February, March-May, June-August,...
This paper addresses the important yet unresolved problem of estimating forest properties from polarimetric-interferometric radar images affected by temporal decorrelation. We approach formulating a physical model coherence that incorporates both volumetric and decorrelation effects. The is termed random-motion-over-ground (RMoG) model, as it combines random-volume-over-ground (RVoG) with Gaussian-statistic motion canopy elements. Key features RMoG are: 1) depends on vertical structure...
NASADEM is a near-global elevation model that being produced primarily by completely reprocessing the Shuttle Radar Topography Mission (SRTM) radar data and then merging it with refined ASTER GDEM elevations. The new improved SRTM elevations in result from better vertical control of each swath via reference to ICESat void reductions using advanced interferometric unwrapping algorithms. Remnant voids will be filled GDEM3, but reduction glitches (mostly related clouds) therefore only minor...
When GNSS signals reflect off of the surfaces lakes, rivers, wetlands, and other inland water bodies, are often sufficiently smooth to produce coherent reflections. The observable produced from reflections made by Reflectometry (GNSS-R) instruments exhibits particular features with respect diffusely scattered rough land wind-driven oceans allowing detection such bodies. Several different GNSS-R coherence approaches have been reported in literature developed among community over last several...
We present an empirical assessment of the impact temporal decorrelation on interferometric coherence measured over a forested landscape. A series repeat-pass radar images with zero spatial baseline were collected UAVSAR (Uninhabited Aerial Vehicle Synthetic Aperture Radar), fully polarimetric airborne L-band system. The dataset provided separations 45 minutes, 2, 7 and 9 days. Coincident lidar weather data collected. theoretically demonstrate that measurement accuracy enables accurate...
In this letter we propose a three-baseline approach to the extraction of forest tree height from synthetic aperture radar data. Three polarimetric-interferometric pairs are used constrain physical model that relates parameters multiple repeat-pass coherence observations. The observations may be performed by dual, compact or full polarimetric radar, and affected distinct levels temporal decorrelation. Here, present theoretical framework based on random-motion-over-ground model, describe an...
This paper investigates the benefits of integrating multibaseline polarimetric interferometric SAR (PolInSAR) data with LiDAR measurements using a machine-learning approach in order to obtain improved forest canopy height estimates. Multiple baselines are required ensure consistent retrieval performance across broad range tree heights. Previous studies have proposed merging strategies metrics extracted from PolInSAR measurements. Here, we introduce support vector machine trained by sparse...
The InSAR Scientific Computing Environment (ISCE) was first developed under the NASA Advanced Information Systems Technology as a flexible, extensible object-oriented framework for Interferometric Synthetic Aperture Radar (InSAR) processing. ISCE uses Python 3 at workflow level, controlling modules of compiled code functional processing, and managing inputs, outputs, other flow control services. currently released version, called 2.1, is distributed to research community through Western...
This article describes a projection algorithm between radar and map coordinates based on the representation of samples as area elements (AEs) rather than point elements. Each AE grid (geographic grid) is associated with number that intersect completely or partially AE. The association enables geocoding (i.e., imagery) adaptive multilooking, accurately accounting for all contributing to geocoded according topography geometry. By using averaging interpolation, proposed does not suffer from...
The objective of this paper is to make a review the current status PolSARpro v4.0 Software (Polarimetric SAR Data Processing and Educational Toolbox), developed under contract ESA by consortium comprising I.E.T.R at University Rennes 1, AELc, DLR-HR Dr mark Williams from Adelaide. project provide that offers tool for self-education in field Polarimetric data analysis level comprehensive suite functions scientific exploitation fully partially polarimetric multi-data sets development...
In order to help scientists in the above ground biomass community and support science behind upcoming BIOMASS, NISAR, GEDI satellite missions, ESA NASA are collaborating on Multi-Mission Algorithm Analysis Platform (MAAP). The MAAP is a jointly developed implemented platform that will include not only data (satellite, airborne, situ data, products), but also computing capabilities sets of tools algorithms this specific field research. To best ensure users able collaborate across access...
Physics-based algorithms estimating large-scale forest above-ground biomass (AGB) from synthetic aperture radar (SAR) data generally use airborne laser scanning (ALS) or grid of national inventory (NFI) to reduce uncertainties in the model calibration. This study assesses potential multitemporal L-band ALOS-2/PALSAR-2 improve AGB estimation using three-parameter water cloud (WCM) trained with field relatively small (0.1 ha) plots. The major objective is assess impact high due smaller plot...
A fundamental element of Copernicus, the EU's Earth Observation and monitoring programme, is development operation an independent, dedicated sustained space-based observation infrastructure. Six series so-called Sentinel satellites ensure continuity until 2026-2028 (First Generation). The "CSC Expansion" programme includes new missions that have been identified by European Commission (EC) as priorities for implementation in coming years. Among presently under preliminary design phase,...
Our study aims to provide a comparison of the P- and L-band TomoSAR profiles, Land Vegetation Ice Sensor (LVIS), discrete return LiDAR assess ability for monitor estimate tropical forest structure parameters enhanced management support biomass missions. The relies on unique UAVSAR Jet propulsion Laboratory (JPL)/NASA data, P-band data acquired by ONERA airborne system (SETHI), Small Footprint (SFL), NASA Land, (LVIS) datasets in 2015 2016 frame AfriSAR campaign. Prior multi-baseline...
This article demonstrates how 3-D vegetation structure can be approximated by interferometric synthetic aperture radar (InSAR) backscatter-height histograms. Single-look backscatter measurements are plotted against the InSAR phase height and aggregated spatially over a forest patch to form histogram, referred as histogram or simply histogram. histograms resemble LiDAR waveforms, suggesting that existing algorithms used retrieve canopy ground topography from tomograms waveforms applied Three...
Accurate mapping of forest above ground biomass (AGB) is essential for understanding changes in the rate ecosystem processes such as productivity, litter actual decomposition, and potential decomposition during secondary succession. They also play a vital role evaluating carbon pools. This study presents Matérn kernel-based Gaussian process regression (GPR) approach estimation integrating Synthetic Aperture Radar (SAR) backscatter intensities with LiDAR measurements. We use from five scenes...
Background The AfriSAR campaign was a joint NASA and European Space Agency airborne conducted in Gabon support of the upcoming ESA BIOMASS, NASA-ISRO Synthetic Aperture Radar (NISAR) Global Ecosystem Dynamics Initiative (GEDI) missions. aim to collect ground, SAR Lidar data for development evaluation forest structure biomass retrieval algorithms. consisted two deployments, first 2015 with ONERA SETHI system second 2016 LVIS (Land Vegetation Ice Sensor) Lidar, L-band UAVSAR DLR F-SAR. In...
A novel metric for detecting coherence in global navigation satellite system reflectometry (GNSS-R) signals is presented and evaluated. It applies the Von Neumann information entropy density matrices, a powerful indicator of degree mixing between states, coherent incoherent, scene under investigation. The applied to set raw IF data acquired by cyclone (CYGNSS) observatories over Lake Okeechobee FL, order test sensitivity different land cover types, including wetlands open water. Visual...