Geoscience and Remote Sensing
In our ever-expanding world of advanced satellite and communications systems, there's a growing challenge for passive radiometer sensors used in the Earth observation like 5G. These passive sensors are challenged by risks from radio frequency interference (RFI) caused by anthropogenic signals. To address this, we urgently need effective methods to quantify the impacts of 5G on Earth observing radiometers. Unfortunately, the lack of substantial datasets in the radio frequency (RF) domain, especially for active/passive coexistence, hinders progress.
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This dataset comprises multimission altimeter products, specifically multimission altimetry-derived cyclonic eddy trajectories in the South China Sea region (109°E-121°E, 3°N-23°N). These products are released by the Archiving, Validation and Interpretation of Satellite Oceanographic data (AVISO) with the support of the Copernicus Marine Environment Monitoring Service (CMEMS). The eddy trajectories are derived from the "all satellites" constellation maps distributed by CMEMS. The dataset is intended for the study of ocean mesoscale eddies.
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To test the feasibility of the idea: Using the processed data of sentinel-2 and GlobeLand30 as the input image and ground truth of subspace clustering for land cover classification, a dataset named 'MSI_Gwadar' is created.
'MSI_Gwadar' is a multi-spectral remote sensing image of Gwadar (town and seaport, southwestern Pakistan) and its four regions of interest, which includes MATLAB data files and ground truth files of the study area and its four regions of interest.
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269 Views
The Kansas AHSI dataset was collected by the visible-SWIR AHSI designed by the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, which was one of the main payloads onboard the GF-5 satellite. The Kansas AHSI dataset covers 330 spectral bands to characterize the solar reflective regime from 400 to 2500 nm. The spectral resolution is about 5 nm for the visible and near infrared (VNIR) region from 400 to 1000 nm, and 10 nm for the visible-shortwave infrared (SWIR) region from 1000 to 2500 nm. The spatial resolution is around 30 m.
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254 Views
Ground-penetrating radar is an extensively used geophysical tool in cryosphere sciences (ice sheets and glaciers) with sounding depths of several kilometers due to the small radio-wave attenuation in ice sheets. Detection of the ice thickness and internal ice stratigraphy with commercial radars has become standard. However, there is still an observational gap in determining dielectric and mechanical ice-fabric anisotropy and basal properties using these systems. Recently, ground-based phase coherent radar has shown its potential to fill this gap.
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138 Views
the dataset includes geospatial vector point and linestring data, and the data size ranges from 4 million records to 100 million records to evaluate the applicability of HiVQ.
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2 Views
Accurately defining urban entity boundaries is crucial for analyzing urban expansion trends, understanding the impacts of urbanization on the environment, and planning and achieving sustainable urban development. In recent years, multiple global urban boundary products have emerged. However, cities’ definitions, formation processes, and morphology vary significantly across countries, making it particularly challenging to use a uniform method to delineate urban boundaries.
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This MATLAB function efficiently detects and removes outliers from a specified time slice of a radar data cube, improving data quality for analysis. It utilizes statistical thresholds to identify outliers and offers the option to visualize and save the cleaning process as a GIF, facilitating a clearer understanding of data integrity enhancements. The functionality is crucial for preprocessing in meteorological studies, ensuring accurate representations in spatial and temporal data analyses.
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139 Views
The multi-effect fields in the grounded-wire source time-domain electromagnetic (TDEM) will be generated by complex physical characteristics and parameter information of polymetallic ore. The studies show that the induced polarization (IP) and magnetic viscosity (MV) effects are significant signs of polymetallic ore and have been proved t
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173 Views
This dataset is dedicated to the work " GeoSAM: Enhancing SAM with Sparse and Dense Visual Prompting for Automated Mobility Infrastructure Segmentation
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537 Views