Geoscience and Remote Sensing
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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177 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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559 Views
A direct three-dimensional (3-D) modeling of B-field in TDEM is proposed in the paper. We first introduce the forward modeling method of static magnetic field for the calculation of initial value of B-field. Then, we achieve the iterative calculation of B-field of magnetic media during the transient electromagnetic (TEM) stage by substituting the Cole–Cole susceptibility model into the B-field diffusion equation of double-curl induced magnetization intensity. The validity of this method is verified using several analytical solutions.
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59 Views
This compendium encompasses the entirety of hyperspectral data acquired across a spectrum of experimental scenarios (initially delineating the wavelength in the foremost column, followed by a sequential arrangement of every 10 columns demarcating a unique set of data under a specific condition, cumulatively spanning 51 columns), accompanied by an Excel spreadsheet detailing the electrical conductivity measurements of all mural plaster specimens.
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34 Views
Research on the crustal structure of Princess Elizabeth Land (PEL) is of great importance for studying the composition and tectonic evolution of East Antarctica, and the structure and property feature given by gravity and magnetic anomalies is an effective way to analyze the subglacial crust structure. We collected digital elevation data, satellite gravity data and aeromagnetic data from PEL, and established the density and magnetic susceptibility structure of the crust in the study area through gravity and magnetic inversion methods.
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3 Views
The raw MTBS data were downloaded from the official website (https://www.mtbs.gov/direct-download), and we select the pre-fire images, post-fire images, and thematic burn severity layers from 2010 to 2019 (over 7000 fires) across the conterminous United States as the data source of Landsat-BSA dataset. The raw MTBS dataset is preprocessed, reformed, and relabeled to produce the Landsat-BSA dataset with a sample size of 256 × 256.
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591 Views
Sea ice concentration is important because it helps in determining important climate variables. Together with sea ice thickness, important fluxes between air and sea as well as heat transfer between the atmosphere can be determined. We designed an adapted bootstrap algorithm called SARAL/AltiKa Sea Ice Algorithm (SSIA) with some tunings and segregated the algorithm into winter and summer algorithms to estimate daily sea ice concentration (SIC) in the Arctic.
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207 Views
SAR-optical remote sensing couples are widely exploited for their complementarity for land-cover and crops classifications, image registration, change detections and early warning systems. Nevertheless, most of these applications are performed on flat areas and cannot be generalized to mountainous regions. Indeed, steep slopes are disturbing the range sampling which causes strong distortions in radar acquisitions - namely, foreshortening, shadows and layovers.
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452 Views
Learning SAR Dataset for Wet Snow Detection - Full Analysis Version.
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313 Views