Remote Sensing
The complete description of the dataset can be found at: https://arxiv.org/abs/2305.03170
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8570 Views
The concentration of sea ice is essential for determining crucial climate factors. Together with sea ice thickness, it is possible to determine significant air-sea fluxes and atmospheric heat transfer. In this study, the SARAL/AltiKa Sea Ice Algorithm is used to determine the monthly sea ice concentration (SIC) in the Arctic (SSIA). For the period from April 2013 to December 2020, data from the dual-frequency microwave radiometer (23.8 GHz and 37 GHz) on the SARAL/AltiKa satellite are used to compute SIC.
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148 Views
some remote image
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5 Views
This data is a conversion of remote sensing data into a VOC2012 dataset.
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74 Views
This is the dataset we collected for the article "Scalable Undersized Dataset RF Classification: Using Convolutional Multistage Training". 17 objects were collected in the laboratory and scanned using a 'cw radar' setup featuring 2x UWB antennas (1 transmit antenna, 1 receive antenna), inside anechoic chamber. There was no clutter added in the experiment.
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1398 Views
This dataset include ozone EV8TOz retrievals from GOME-2 aboard Metop-B and C, Tropomi aboard S5P, OMPS aboard NPP and NOAA-20.
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67 Views
Drone based wildfire detection and modeling methods enable high-precision, real-time fire monitoring that is not provided by traditional remote fire monitoring systems, such as satellite imaging. Precise, real-time information enables rapid, effective wildfire intervention and management strategies. Drone systems’ ease of deployment, omnidirectional maneuverability, and robust sensing capabilities make them effective tools for early wildfire detection and evaluation, particularly so in environments that are inconvenient for humans and/or terrestrial vehicles.
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17891 Views
The dataset reflects a single household (home) power profile related to the grid. Households include typical appliances, two air-to-air heat pumps, a 3-phase 18 kW through-flow water heater, 6 kW solar panels and a 2,5 kW charger for the electric car.
For five-month (April_August) in 2022, every 0.2 sec took each 3-phase voltage and current measurement, calculate power and harmonics (up to 15th) for power profile registration.
Positive value reflects energy flow from the grid to a household, and negative values are energy flow to the grid.
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1307 Views
This article presents the details of the Cardinal RF (CardRF) dataset. CardRF is acquired to foster research in RF- based UAV detection and identification or RF fingerprinting. RF signals were collected from UAV controllers, UAV, Bluetooth, and Wi-Fi devices. Signals are collected at both visual line-of-sight and beyond-line-of-sight. The assumptions and procedure for the data acquisition are presented. A detailed explanation of how the data can be utilized is discussed. CardRF is over 65 GB in storage memory.
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8781 Views
This dataset contains Wi-Fi sensing data using Channel State Information (CSI) for respiration rate measurements in a standard 3m x 3m room. The Wi-Fi CSI data was collected using the Wi-Fi module on the ESP32 Microcontroller units using the esp32-csi-tool. The Wi-Fi CSI data is accompanied by respiration belt data taken with the Wi-Fi measurements simultaneously using the Neulog NUL-236 respiration belt logger as ground truth.
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121 Views