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12 results for “cubesat”
First In-Situ Measurements of Travelling Ionospheric Disturbances at 420 km Altitude by the Scintillation Observations and Response of The Ionosphere to Electrodynamics (SORTIE) CubeSat
<p>Companion dataset to the paper entitled "First In-Situ Measurements of Travelling Ionospheric Disturbances at 420 km Altitude by the Scintillation Observations and Response of The Ionosphere to Electrodynamics (SORTIE) CubeSat". The dataset includes the SORTIE CubeSat IVM Level 2 ion density and GPS TEC data used in the study along with the WRF simulation results.</p>
Flowing days Derived from CubeSat Imagery and Ground Observations in Hassayampa River (HR), Arizona from 2019-2021 (Water Years)
<p>Flowing days derived from CubeSat imagery and ground observations in Hassayampa River (HR), Arizona from October 2018 to September 2021. This database supports the following paper:</p> <div> <div>Wang, Z., & Vivoni, E. R. (2022). Detecting streamflow in dryland rivers using CubeSats. <em>Geophysical Research Letters</em>, 49, e2022GL098729. <a href="https://doi.org/10.1029/2022GL098729">https://doi.org/10.1029/2022GL098729</a></div> </div> <div> <div> </div> </div> <p>This database includes three folders.</p> <ol> <li>GroundObservations: Ground observations along the HR retrieved from USGS website (https://waterdata.usgs.gov/nwis) and Flood Control District of Maricopa County using Single Sensor Data Reports tool (https://alert.fcd.maricopa.gov/showrpts_mc.html): <ol> <li><strong>Precip</strong>: Records of daily precipitation amount.</li> <li><strong>Stream</strong>: Records of daily streamflow amount.</li> </ol> </li> <li>GIS: GIS layers used in deriving flowing days. <ol> <li><strong>Subreach</strong>: Shapefiles of nine sub reaches along the HR.</li> <li><strong>Buffer segment</strong>: Buffer zones perpendicular to HR reaches at 90 m resolution. Column ID is sorted in ascending order along the HR.</li> <li><strong>Channel masks: </strong>Channel masks of HR derived from Planet data.</li> </ol> </li> <li>Results <ol> <li><strong>BufferSegment_Flowdays.xlsx:</strong> Days with flow determined using the NIR difference threshold for water years (WY) 2019 to 2021 for each 90 m buffer areas. The relative location of each buffer areas can be found in the Buffer Segment GIS layer. ‘NaN’ suggests no data.</li> </ol> </li> </ol> <div> <div> </div> </div>
RF recording from the QB50-ISS cubesats from 2017-05-29
<p>This dataset contains an IQ recording of the telemetry signals of many of the QB50 project cubesats. The recording was done on 2017-05-29 18:25:29 UTC, shortly after several cubesats were released from the ISS. The recording was done from 40.5962º N, 3.6964º W, 700 m ASL, near Madrid (Spain). A 7 element yagi antenna built by Arrow and a LimeSDR were used to record. The antenna was handheld in vertical polarization and connected to the SDR with a short (~1 metre) piece of coaxial cable.</p> <p>The recording is 3 Msps IQ and uses a centre frequency of 436.5 MHz and WAV format.</p> <p>More information about this recording can be found in the post "<a href="https://destevez.net/2017/05/a-tour-of-qb50/">A tour of QB50</a>" by the author.</p>
RF recording of PSLV 2018-004 launch cubesats
<p>This dataset contains an IQ recording of the telemetry signals of the cubesats from the PSLV 2018-004 launch from 2018-01-12. The recording was done on 2018-01-13 09:54:46 UTC, some 30 hours after the launch. The recording was done from 40.5962º N, 3.6964º W, 700 m ASL, near Madrid (Spain). A 7 element yagi antenna built by Arrow and a LimeSDR were used to record. The antenna was handheld in vertical polarization and connected to the SDR with a short (~1 metre) piece of coaxial cable.</p> <p>The recording is 4 Msps IQ and uses a centre frequency of 436.5 MHz and WAV format.</p> <p>More information about this recording can be found in the post "<a href="https://destevez.net/2018/01/decoding-satellites-from-the-pslv-2018-004-launch/">Decoding satellites from the PSLV 2018-004 launch</a>" by the author.</p>
RF recording of Vega-C MEO cubesats 436 MHz telemetry beacons
<p>This dataset contains an IQ recording of the 436 MHz telemetry signals of four of the MEO cubesats launched in the Vega-C maiden flight on 2022-07-13: CELESTA, MTCube2, Greencube and AstroBio Cubesat. The recording was done on 2022-07-24 from 40.5958º N, 3.6991º W, 800 m ASL, near Madrid (Spain). This is a urban location, so the RFI is quite high.</p> <p>A 7 element yagi antenna built by Arrow and a USRP B205mini were used. The antenna was held on a tripod and aimed manually. The antenna polarization was horizontal with respect to the local horizon (parallactic angle rotation should be taken into account to derive the sky polarization). It was connected to the SDR with a short (~1 metre) piece of coaxial cable.</p> <p>The signals have rather low SNR, due to the high RFI and the small antenna used. Weak packets from CELESTA and very weak long bursts from Greencube can be seen. Signals from MTCube2 and AstroBio were not detected.</p> <p>The USRP digitized at 4 Msps IQ with a centre frequency of 436.52 MHz. A GNU Radio flowgraph was used for Doppler correction and channelization. A channel of 40 ksps IQ was recorded around the nominal frequency of each satellite. Two different channels were used for AstroBio Cubesat, due to the uncertainty in its transmit frequency caused by a reset of the satellite's radio to factory settings. Each channel is given in a different file, identified by the name of the corresponding satellite.</p> <p>The recordings of the satellites are contained in the files identified as 2022-07-24T18_47_38. The files with later timestamps (2022-07-24T19_25_49 and 2022-07-24T19_29_02) are short recordings of a CW carrier injected into the receiver for absolute amplitude calibration.</p> <p>The data was recorded using <a href="https://wiki.gnuradio.org/index.php/File_Meta_Sink">GNU Radio metadata format</a> with detached headers and converted to <a href="https://github.com/gnuradio/SigMF">SigMF format</a> in postprocessing. The detached headers of the GNU Radio metadata format are provided with the .hdr extension.</p> <p>The Doppler correction files are also included in this dataset. These are text files that contain tabulated timestamps in seconds of UNIX time and Doppler frequency in Hz. They were generated using the TLEs from Celestrak and the Skyfield Python library.</p> <p>More information about this recording, including the details of the absolute amplitude calibration, can be found in the post "<a href="https://destevez.net/2022/07/trying-to-observe-the-vega-c-meo-cubesats/">Trying to observe the Vega-C MEO cubesats</a>" by the author.</p>
Leveraging Commercial Cubesat Constellations for Auroral Science: A Case Study
<p>Planet satellite magnetometer data to accompany the paper "Leveraging Commercial Cubesat Constellations for Auroral Science: A Case Study"</p>
4x and 10x Super Resolution Generator Models Trained With Planet CubeSat Satellite Imagery
<p>Final resampling generator models produced from the Enhanced Super Resolution Generative Adversarial Network (ESRGAN) (https://github.com/xinntao/ESRGAN). ESRGAN was trained at two different resampling factors, 4x and 10x, using a training data set of global Planet CubeSat satellite images. These generators can be used to resample Planet CubeSat satellite images from 30m and 12m to 3m resolution. Descriptions and results of training can be found at https://wandb.ai/elezine/pixelsmasher. In press at Canadian Journal of Remote Sensing: Super-resolution surface water mapping on the Canadian Shield using Planet CubeSat images and a Generative Adversarial Network, Ekaterina M. D. Lezine, Ethan D. Kyzivat, and Laurence C. Smith (2021). </p>
Timeseries of Arctic-Boreal Lake Area Derived from CubeSat Imagery, 2017
This dataset provides near-daily lake area timeseries for 85,358 lakes across four study areas in Northern Canada and Alaska, USA, between May 1 and October 1, 2017. These lake area estimates were produced using digital images from newly developed Planet Labs CubeSats, small satellites with a 4-band (blue, green, red, near-infrared) camera payload. In constellation, CubeSats collected imagery at very high spatial (3-5m) and temporal (near-daily) resolution. From the imagery, each lake's mean, minimum, and maximum areas and seasonal dynamism were derived. The dataset covers four Arctic-Boreal regions: the Yukon Flats Basin (YFB) in eastern interior Alaska, and the Mackenzie River Valley (MRV), Canadian Shield Transect (CST), and Hudson Bay Lowland (HBL) in Canada.
GPM Ground Validation Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX V1
The GPM Ground Validation Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX dataset consists of microwave radiance measurements collected during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. These data were collected by the MASC aboard the NASA DC-8 aircraft, for dates between November 10, 2016 and December 13, 2016. The data are provided in HDF-EOS5 format.
Microwave Atmospheric Sounder on Cubesat (MASC) CPEX V1
The Microwave Atmospheric Sounder on Cubesat (MASC) CPEX dataset contains products obtained from the MASC instrument onboard the DC-8 aircraft. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of America-Caribbean Sea region from 25 May-25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May-24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of America-Caribbean Oceanic region during the early summer of 2017. These data are available from May 27, 2017 through June 21, 2017 and are available in HDF-5 format.
Continuing the Mission: SeaHawk-1 Ocean Color CubeSat Nanosatellite
Satellite validation work related to the SeaHawk Ocean Color CubeSat mission. This is a partnership between NASA, UNCW, UGA, ACC Clyde Space and Cloudland instruments. The project was funded by the Gordon and Betty Moore Foundation (grant number 11171) for years 2022-2025.
Design and Analysis of Sierpinski Carpet Inspired CubeSat Structure
<p>ALL THE SUPPORTING DATA HAS BEEN UPLOADED</p>
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