Remote Sensing
Accurate and automated glacier extraction is pivotal for water resource management and ecological protection in cryospheric systems. Given the expanding access to remote sensing imagery from considerable satellite platforms, there is an urgent requirement to develop efficient data mining methods that allow for the rapid identification of mountain glaciers in High Mountain Asia (HMA). Proposed here, a novel model based on the UNet framework that embeds Swin transformer block and channel attention mechanism (CAM) parallel modules for glacier extraction.
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The dataset contains the ground-based observations of crop growth stages for Canada's prairie provinces (Manitoba, Saskatchewan and Alberta) from 2019 to 2020. Crop growth stages were visually observed from the side of the fields on a weekly cycle until the fields were harvested. The BBCH (Biologische Bundesanstalt, Bundessortenamt und CHemische Industrie) scale was used to stage growth.
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517 Views
The dataset provides crop-type surveys for Canada's prairie provinces (Manitoba, Saskatchewan and Alberta) in 2020 and 2021. The data were collected via windshield survey(driving through the countryside with GPS-enabled data collection software and satellite imagery). Crop-type points and their geographic coordinates on the ground were gathered using data collection software. Field boundaries were identified on satellite imagery. A single observation point is dropped in a homogeneous area within the field.
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290 Views
In this research, a newly modified UNet (Fast-UNet) was implemented to segment winter wheat from time series Sentinel-2 images for the years 2021 and 2023. These images were converted to NDVI and utilized to identify wheat fields by tracking the wheat phenology from sowing to harvesting. The main satellite image that was used in this research was Sentinel-2. It is considered important, and free optical remote sensing satellite data is provided by the European Space Agency (ESA). Sentinel-2A and Sentinel-2B were launched in June 2015 and March 2017, respectively.
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258 Views
This dataset comprises sea surface temperature (SST) measurements from the Bohai Sea and South China Sea, spanning the period from January 2010 to December 2020. The dataset includes daily mean SST values recorded at 135 nodes in the Bohai Sea and 484 nodes in the South China Sea. The spatial coverage for the Bohai Sea is defined by the coordinates 117.5° to 121.5°E and 36.5° to 40.5°N, while the South China Sea encompasses 112.375° to 117.675°E and 12.125° to 17.375°N.
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The study focused on two regions in Rupnagar district, India, with an area of 216 km² as shown in Fig. 1a, using satellite data from June to November 2023. The upper region predominantly features paddy and maize, while the lower region includes paddy and sugarcane. Satellite images were obtained from PlanetScope’s 130-satellite constellation, with a spatial resolution of 3 meter. A total of 32 images, captured between late May and mid-November 2023, were used, all with less than 15% cloud cover.
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161 Views
This data set consists of broadband VLF data that is used to calculate polarization for the paper titled "Polarization-Based VLF Remote Sensing of Transient Ionospheric Disturbances." The data is collected on two orthogonal magnetic loop antennas with 16-bit resolution at 100 kHz sample rate, with timing provided by a GPS-trained oscillator. EG is East Granby, Connecticut, and CN is Chapel Hill, North Carolina. The start dates and start times for the file are encoded in the file title: YYMMDDHHMMSS.
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23 Views
This dataset contains Wi-Fi sensing data using Channel State Information (CSI) for various sleep disturbance parameters, from respiratory disturbances, to motion-based disturbances from posture shifts, leg restlessness and confusional arousals.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 respiratory disturbance 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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798 Views
The dataset provides detailed information for wheat crop monitoring in the Karnal District, India, spanning the period from 2010 to 2022. It is divided into four main components. The first component, Remote Sensing Data, includes Sentinel-2 (10 m resolution) satellite data averaged over village boundaries, specifically over a wheat crop mask. This folder contains two Excel files: one for NDVI (Normalized Difference Vegetation Index) and another for NDWI (Normalized Difference Water Index), both providing fortnightly data during the Rabi season across a 10-year period.
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465 Views
This dataset provides a comprehensive list of articles used for the review and statistical analysis presented in the article titled 'Applications and Advancements of Spaceborne InSAR in Landslide Monitoring and Susceptibility Mapping: A Systematic Review.' The selection of articles was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) workflow.
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47 Views