Remote Sensing
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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17667 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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1295 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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8675 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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120 Views
The dataset contains maps with the objective analysis (OA) fields of available water contents. OA is based on ground-base and remote sensing (ASCAT) observations in the upper 10 and 20 cm soil layers for the period from September 11 to November 16, 2022.
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291 Views
Accurate flood delineation is crucial in many disaster management tasks, including, but not limited to: risk map production and update, impact estimation, claim verification, or planning of countermeasures for disaster risk reduction. Open remote sensing resources such as the data provided by the Copernicus ecosystem enable to carry out this activity, which benefits from frequent revisit times on a global scale. In the last decades, satellite imagery has been successfully applied to flood delineation problems, especially considering Synthetic Aperture Radar (SAR) signals.
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3003 Views
hyperspectral images including Indian Pines, Salinas and the University of Pavia.
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805 Views
This dataset contains annotation image files representing shapes of buildings, containers, and cranes in satellite images on Google Earth. The datasets are structured in useful formats for machine learning and deep learning applications.
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2021 Views
The radar system is placed in a tower with a height of 90 m, and the UAV flies toward to the tower starting from the distance of 600 m. The flying height is 45 m, and the speed is approximate 20 m/s.
The selected radar is a coherent radar with an azimuth beam-width of 5 degree and a pulse repetition frequency of 20 kHz, and the UAV model is DJI M600 pro with the SCR of approximate -8.3 dB.
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548 Views