Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
35
datasets available to search
ShareScore release 0.9.0
Dataset results
35 results for “Interferogram”
Differential Interferogram of the Lefkada 17 November 2015 Earthquake
<p>On the 17th of November 2015, an earthquake of Mw 6.4 hit the western Greek island of Lefkada, located in Ionian Sea, an area that is well known for its active tectonics. A second earthquake of Mw 5.0 successively followed. These events induced rock falls and landslides having as consequences two life losses and extensive damages to roads and buildings.<br /> Shortly after the events, BEYOND acquired a set of Sentinel-1 TOPSAR scenes, one before and one after the event. The images were combined to form an interferogram that depicts ground deformation due to the earthquake events.<br /> The fringes of the preliminary interferometric results, which are under further elaboration, reveal ground deformation of the order of ~20cm along the Line of Sight at the western part of Lefkada Island. As smaller deformation field is also apparent at the northern part of Cephalonia Island.</p>
Deep learning based automatic grounding line delineation in DInSAR interferograms
<p>This dataset contains a small subset of the AIS_cci GLL product, which covers several key glaciers and the corresponding HED-delineated grounding lines generated from our automatic delineation pipeline. A description of the attributes of the AIS_cci GLL product is provided in the <a href="https://climate.esa.int/media/documents/ST-UL-ESA-AISCCI-PUG-0001.pdf" target="_blank" rel="noopener">Product User Guide</a>. We do not indicate the split of the interferograms into training, validation and test sets as the complete AIS_cci dataset is not open-access.</p> <p>We also provide eight double difference interferograms at 100 m pixel size to demonstrate the generation of the features stack. Please note, eight samples are not sufficient to train the neural network to achieve the delineation capability described in our work.</p> <p>The "UUID" attribute in both GeoJSON files is an identifier that links the vector geometries to the interferogram TiFF files. </p>
Differential Interferogram of the September 16 2018 Mw 5.3 earthquake Lake Muir, Perth, Australia
<p>A moderate earthquake of Mw 5.3 (M<sub>L</sub> 5.7) occured on September 16 2018 near the Lake Muir region, Perth, SW Australia. Despite Australia being in a mostly stable continental interior, moderate or strong shallow crustral earthquakes occured the past years. Due to shallow faulting and low relief/semi-arid conditions in most regions of Australia, even moderate events lead to surficial deformation in form of mapped surface ruptures or deformation identified by radar satellites (InSAR).</p> <p>The Sep.16 earthquake produced a distinctive surficial deformation pattern, identified in an interferometric pair of Sentinel-1 Copernicus radar images (Descending orbit, September 14 - September 26). Sentinel-1 TOPS Interferogram and Line-of-Sight (LOS) displacement were produced using SNAP and DIAPASON tools in the <a href="https://geohazards-tep.eo.esa.int">Geohazards Exploitation Platform</a>. Color fringes on interferogram represent each a ~2.8cm displacement. Displacement (unwrapped) grid files are also provided.</p> <p>InSAR analysis show co-seismic rupture along a NNE-SSW reverse fault plane, consistent with published moment tensors (USGS). LOS profiles show a 5-15cm displacement across a fault rupture that propagated to the surface. Hundreds of metres of fractures and surface ruptures were reported by local farmers' accounts and photographs to the ABC South West Australia news agency.</p>
DIAPASON S1 Interferogram Japan Earthquakes April 2016
<p>Sentinel-1 interferogram generated in the cloud on the Geohazards Exploitation Platform (GEP), the initiative developed by the European Space Agency (ESA).</p> <p>The interferogram was generated on the platform and shows the ground displacement caused by the earthquakes that struck Japan in mid-April 2016. Two major earthquakes caused significant damage in and around the city of Kumamoto, on the island of Kyushu in southwest Japan. The first quake occurred on Thursday 14 April with a magnitude of 6.2 and was followed by several aftershocks until the bigger 7.0 magnitude quake on Friday 15 April which led to the earlier, smaller event to be reclassified as a foreshock. Both events are included in the period covered by the interferogram made with two Sentinel-1 images: one on 08 April (prior to the events), the other on 20 April 2016.</p> <p>The epicentres of the earthquakes were relatively close to the surface, at a depth of about 10 kilometres. According to the USGS the shallow depth and faulting mechanism of these earthquakes indicate that they occurred on a crustal fault within the upper Eurasia plate. In contrast to this recent sequence of shallow earthquakes, most seismicity in the Kyushu region is related to the subduction of the Philippine Sea plate at depth.</p> <p>The two earthquakes killed more than 40 people and caused several structures to collapse. The resulting landslides have destroyed roads and communities.</p>
Mw 7.8, 2016 New Zealand Earthquake Interferogram
<p>Interferogram from Sentinel-1A images acquired on ascending orbit (track 52) on November 3, 2016 and November 15, 2016, respectively</p>
February 2017 Western Turkey Earthquake Swarm Sentinel-1 TOPS Differential Interferogram (20170131-20170212)
<p>In february 2017 a series of earthquakes affected the Biga Peninsula in Western Turkey. Over 350 buildings sustained extensive damage. The seismic events occurred at the intersection of the Kestanbol Fault and the Edremit Fault Zone. The Sentinel-1 TOPS co-seismic interferogram was generated with the ESA SNAP toolbox (http://step.esa.int/).</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub: S1A_20170131-S1A_20170212 from ASCENDING orbit 131.</p> <p> </p>
Atchafalaya UAVSAR interferograms, coherence files and 3-class masks
<p>The dataset contains,</p> <ol> <li>UAVSAR interferograms and coherence files generated with SAR data acquired over Atchafalaya basin in coastal Louisiana, USA.</li> <li>Three class (wetland, open water, intermittent flow) maps generated using interferometric coherence for high (rising-to-high) and low (ebbing-to-low) tide conditions.</li> </ol>
Co-seismic and post-seismic differential Interferograms and displacement maps for the 2020 M6.5 Monte Cristo Range, Nevada earthquake
<p>Differential interferograms for the Mw 6.5 Monte Cristo, Nevada earthquake, processed with SNAP and CNR-IREA P-SBAS in the <a href="https://geohazards-tep.eu">Geohazards Exploitation Platform</a>.</p> <p>USGS event page for the Monte Cristo earthquake:</p> <p><a href="https://earthquake.usgs.gov/earthquakes/eventpage/nn00725272/">https://earthquake.usgs.gov/earthquakes/eventpage/nn00725272/</a></p> <p>Co-seismic and post-seismic (May 16 - May 23) interferograms are included. For each interferometric pair, three products are included: coherence, phase interferogram and unwrapped interferogram (LOS displacement). Decomposition.zip files includes the processed East-West and Vertical deformation maps from combining ascending and descending interferograms.</p> <p> </p>
Cabo Verde Fogo Volcano Interferogram November 2014
<p>A volcano eruption in Fogo Island, Cabo Verde, began on 23 Nov 2014, affecting the people living in Chã das Caldeiras, the volcano crater area. An estimated 1,000 people have been evacuated from the area, of which 838 have been relocated in temporary accommodation centres and in houses built in the aftermath of the 1995 eruption.</p>
Interferogram generated with DORIS and TerraSAR-X data
Interferogram generated with DORIS and <b>TerraSAR-X</b> data
Sentinel-1 T156 co-seismic interferogram of Kumamoto EQ
<p>Sentinel-1ascending co-seismic interferogram (wrapped) of Kumamoto Earthquake.</p> <p>Master acquisition time: 2016-04-08</p> <p>Slave acquisition time: 2016-04-20 </p> <p>Track: 156</p> <p>Perpendicular Baseline: 68m</p> <p>Multilooking: 10 Azimuth, 2 Range</p>
Sentinel-1 T163 co-seismic interferogram of Kumamoto EQ
<p>Sentinel-1descending co-seismic interferogram (wrapped) of Kumamoto Earthquake.</p> <p>Master acquisition time: 2016-03-27</p> <p>Slave acquisition time: 2016-04-20 </p> <p>Track: 163</p> <p>Perpendicular Baseline: 4m</p> <p>Multilooking: 10 Azimuth, 2 Range</p>
ALOS2 T197 co-seismic interferogram of Amatrice earthquake (Italy)
<p>ALOS2 T197 co-seismic interferogram (wrapped) of Amatrice earthquake (Italy). <br /> Data Type: wrapped Interferogram (radians)<br /> Observation interval: 09092015AL2_24082016AL2<br /> Sensor: ALOS2<br /> Wavelength: 23,6 [cm]<br /> Look Angle: 36.6 [deg]<br /> Projection: Geografic Lat-Long (WGS84)<br /> Applied Phase Filter: Goldstein 0.5<br /> Author: IREA - CNR</p> <p><em>Acknowledgments</em>: JAXA, ESA GEP, CNR-IREA, Italian DPC</p> <p> </p>
Amatrice Earthquake - Sentinel-1 TOPS Descending - Differential Interferogram (S1A_20160821-S1B_20160827)
<p>Differential S1 TOPS interferogram (S1A_20160821-S1B_20160827) from descending orbit 22.</p> <p>A Sentinel-1 TOPS co-seismic interferogram of the Amatrice earthquake in Italy on the 24th of August 2016. Processing was performed with the ESA SNAP toolbox (http://step.esa.int/) including TOPS InSAR processing, removal of topographic phase, phase filtering and orthorectification.</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub.</p> <p>Contains modified Copernicus data (2016)</p>
Amatrice Earthquake - Sentinel-1 TOPS Ascending - Differential Interferogram (S1A_20160815-S1A_20160827)
<p>Differential S1 TOPS interferogram (S1A_20160815-S1A_20160827) from ascending orbit 117.</p> <p>A Sentinel-1 TOPS co-seismic interferogram of the Amatrice earthquake in Italy on the 24th of August 2016. Processing was performed with the ESA SNAP toolbox (http://step.esa.int/) including TOPS InSAR processing, removal of topographic phase, phase filtering and orthorectification.</p> <p>S1A data were downloaded from the Sentinel-1 Scientific Data Hub.</p> <p>Contains modified Copernicus data (2016)</p>
InSAR Interferograms and Products from 2021, M7.2 Nippes, Haiti earthquake (Curated Dataset)
<p>This dataset contains curated interferograms and derived products from the August 14, 2021 M7.2 Nippes, Haiti earthquake and accompanies the BSSA publication: <a href="https://doi.org/10.1785/0120220109" target="_blank" rel="noopener">https://doi.org/10.1785/0120220109</a>. Data products are also available via https://topex.ucsd.edu/haiti_7.2/index.html</p> <p>The data is organized in directories by satellite, relative orbit, and pair:</p> <p>├── ALOS1_A138<br>│ └── 20100116_20100603<br>├── ALOS2_A042<br>│ ├── 20210101_20210827<br>│ ├── 20210101_20211231<br>│ ├── 20210827_20211231<br>│ └── phasegrad<br>├── ALOS2_A043<br>│ ├── 20201223_20210818<br>│ └── phasegrad<br>├── ALOS2_D138<br>│ └── 20191210_20210817<br>├── S1_A004<br>│ ├── 20210805_20210817<br>│ ├── 20210817_20210823<br>│ ├── 20210823_20210829<br>│ └── 20210829_20210904<br>└── S1_D142<br> ├── 20210803_20210815<br> ├── 20210815_20210821<br> ├── 20210821_20210827<br> └── 20210827_20210902</p> <p>Each pair directory contains the relevant .grd files and HDF5 file, named according to the standard:</p> <p><SAT>_<SW>_<RELORB>_<FRAME>_<DATE1>-<DATE2>_<TBASE>_<BPERP>.h5</p> <p>We also include phase gradient .grd files, calculated in the range (xphase_mask_ll.grd) and azimuth (yphase_mask_ll.grd) directions.</p> <p>Please contact Zoe Yin (hyin@ucsd.edu) or Jennifer S. Haase (jhaase@ucsd.edu) with any questions. </p>
Interferogram List Files
<p>Interferograms files created for use in displacement analysis for deep-seated landslide over El Forn. </p> <p>Dates used listed in the title of each file name. </p>
Sentinel-1 T117 co-seismic interferogram of Amatrice earthquake (Italy) generated through the ESA G-POD platform
<p>Sentinel-1 T117 co-seismic interferogram (wrapped) of Amatrice earthquake (Italy).<br /> Data Type: wrapped Interferogram (radians)<br /> Sensor: Sentinel-1<br /> Observation interval: 15082016S1A_27082016S1A<br /> Applied Phase Filter: None<br /> Wavelength: 5.5465760 [cm]<br /> Look Angle: 39.060890 [deg]<br /> Projection: Geografic Lat-Long (WGS84)<br /> Author: IREA - CNR</p> <p><em>Acknowledgments</em>:<br /> Contains modified Copernicus data (2016), ESA GEP, G-POD, CNR-IREA, Italian DPC</p> <p> </p>
A Network-Based Phase-Gradient Stacking Method for Resolving Long-wavelength deformation from low-coherence SAR interferograms
<p><span><span><strong>This dataset includes the key results, primary </strong></span></span><strong>InSAR and GNS observatons </strong><strong> in our study. </strong></p>
granada interferogram
<p>interferogram from sentinel -1 computing on nsbas program</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.