Geoscience and Remote Sensing
Satellite attitude determination is critical for accurately measuring and controlling a satellite’s orientation in orbit using a variety of sensors and methods. Currently, low-low Satellite-to-Satellite Tracking (ll-SST) missions—such as GRACE(-FO)—and upcoming missions like Magic primarily rely on quaternion data from onboard star camera sensors. To enhance attitude determination, we propose a GSCF fusion method.
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This dataset includes three types: DEM, land cover data, and high-definition remote sensing images.
Among them, the DEM data has an accuracy of 30 meters and is used to calculate the slope value. The land cover data has an accuracy of 8.98 meters and is located in a field area in southern Taiwan, China, and is used to extract coarse-grained land object types. The high-definition remote sensing data is taken by drones with an accuracy of 0.03 meters and is used for unsupervised classification of land objects.
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Ecological carrying capacity (ECC) is central to assessing the sustainability of ecosystems, aiming to quantify the limits of natural systems to support human activities while maintaining biodiversity and resource regeneration. To assess ECC, earlier studies typically used the analytic hierarchy process (AHP) method for modeling.
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33 Views
MapData is a globally diverse dataset spanning 233 geographic sampling points. It offers original high-resolution images ranging from 7,000×5,000 to 20,000×15,000 pixels. After rigorous cleaning, the dataset provides 121,781 aligned electronic map–visible image pairs (each standardized to 512×512 pixels) with hybrid manual-automated ground truth—addressing the scarcity of scalable multimodal benchmarks.
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41 Views
We develop a geological and geophysical forward modeling workflow from the perspective of stratigraphic forward modeling, adding fold structures, building attribute models, building seismic data. Specifically, we first use PyBadlands (Salles et al., 2018) to simulate numerous stratigraphic layers under diverse forcing conditions. Then we perform the interpolation process to obtain a stratigraphic volume and add folding structures (Wu et al., 2020).
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We develop a geological and geophysical forward modeling workflow from the perspective of stratigraphic forward modeling, adding fold structures, building attribute models, building seismic data. Specifically, we first use PyBadlands (Salles et al., 2018) to simulate numerous stratigraphic layers under diverse forcing conditions. Then we perform the interpolation process to obtain a stratigraphic volume and add folding structures (Wu et al., 2020).
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13 Views
The Japan region is characterized by intense seismic activity. This catalog consists of earthquakes in a polygon bounded by 129°27'-144°73' E and 26°96'-43°04' N and from March 6, 2003, to July 10, 2023, obtained from the Japanese Meteorological Agency [1,2]. Aftershocks were identified using Molchan–Dmitrieva’s algorithm [3], which relies on the statistical analysis of the spatiotemporal distribution of seismic events. The aftershocks were subsequently marked using the program described in [4], which is an adaptation of the earlier program developed by Smirnov [5].
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This dataset comprises 32-bit floating-point SAR images in TIFF format, capturing coastal regions. It includes corresponding ground truth masks that differentiate between land and water areas. The covered regions include the Netherlands, London, Ireland, Spain, France, Lisbon, the USA, India, Africa, and Italy. The SAR images were acquired in Interferometric Wide (IW) mode with dual polarization at a spatial resolution of 10m × 10m.
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288 Views
Greenland Ice Sheet is one of the key factors influencing global climate change. Its slight variations can lead to significant changes in sea level, making quantitative research on its mass balance of great scientific importance.
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8 Views