A5005207283- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- Air Quality Monitoring and Forecasting
- Mineral Processing and Grinding
- Geological and Geochemical Analysis
- Data-Driven Disease Surveillance
- Zoonotic diseases and public health
- Air Quality and Health Impacts
- Atmospheric and Environmental Gas Dynamics
- COVID-19 epidemiological studies
Xi'an University of Science and Technology
2023
Porphyry copper ore is a vital strategic mineral resource. It often associated with significant hydrothermal alteration, which alters the original mineralogical properties of rock. Extracting alteration information from remote sensing data crucial for porphyry exploration. However, current method extracting ASTER does not consider influence disturbing factors, such as topography, and ignores weak report surface minerals, has limitations. Therefore, this paper selects Gondwana region East...
This study utilized TROPOMI remote sensing data, MODIS ground observation and other ancillary data to construct a high-resolution spatiotemporal distribution evaluation of ground-level NO2 concentrations in the Beijing–Tianjin–Hebei (BTH) region using Geographic Temporal Neural Network Weighted Regression (GTNNWR) model. Through this model, we obtained daily nitrogen dioxide (NO2) at resolution 500 m for period 2019–2022. The research results exhibited higher accuracy more detailed features...
The location and development of porphyry copper deposits is a key issue for the mining industry. In this study, Gondwana metallogenic belt was chosen as study area to compare multiple methods extracting multi-source geological elements maximize accuracy datasets used evaluation use them assess mineability. By comparison, support vector machine (SVM) with an overall classification 97.6573% Kappa coefficient 0.9806 extract lithological distribution area. Spectral feature-enhanced principal...
This article examines three spatiotemporal methods used for analyzing of infectious diseases, with a focus on COVID-19 in the United States. The considered include inverse distance weighting (IDW) interpolation, retrospective scan statistics and Bayesian models. study covers 12-month period from May 2020 to April 2021, including monthly data 49 states or regions results show that spread pandemic increased rapidly high value winter 2020, followed by brief decline later reverted into another...