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ResInformer: residual transformer-based artificial time-series forecasting model for PM2. 5 concentration in three major Chinese cities
Many Chinese cities have severe air pollution due to the rapid development of the Chinese
economy, urbanization, and industrialization. Particulate matter (PM2. 5) is a significant …
economy, urbanization, and industrialization. Particulate matter (PM2. 5) is a significant …
A novel prediction framework for estimating high spatial resolution near-ground PM2. 5 and O3 concentrations at street-level in urban areas
National monitoring stations lack spatial coverage for reflecting microscopic changes in air
pollution. Several studies have attempted to use locally measured data to develop prediction …
pollution. Several studies have attempted to use locally measured data to develop prediction …
CombineDeepNet: A Deep Network for Multistep Prediction of Near-Surface PM Concentration
PM is a type of air pollutant that can cause respiratory and cardiovascular problems. Precise
PM () concentration prediction may help reduce health concerns and provide early …
PM () concentration prediction may help reduce health concerns and provide early …
Machine-learning-estimation of high-spatiotemporal-resolution chlorophyll-a concentration using multi-satellite imagery
Chlorophyll-a concentration for quantifying phytoplankton biomass is commonly used as an
indicator for evaluating the trophic level of lakes and water quality. This research aimed to …
indicator for evaluating the trophic level of lakes and water quality. This research aimed to …
[HTML][HTML] Estimation of Regional Ground-Level PM2.5 Concentrations Directly from Satellite Top-of-Atmosphere Reflectance Using A Hybrid Learning Model
Y Feng, S Fan, K ** PM2. 5 concentration from the top-of-atmosphere reflectance of Himawari-8 via an ensemble stacking model
a bstract Direct estimation of PM 2.5 concentration using the satellite top-of-atmosphere
(TOA) reflectance has become a research hotspot for satellite sensing monitoring of PM 2.5 …
(TOA) reflectance has become a research hotspot for satellite sensing monitoring of PM 2.5 …
A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature
By depicting high-frequency surface thermal dynamics, hourly gapless land surface
temperature (LST) data at a moderate spatial scale are crucial for various thermal …
temperature (LST) data at a moderate spatial scale are crucial for various thermal …
Vertical Distribution of the Aerosol Mass Concentration in East Asia Using CALIPSO data
S Li, S Qi, X Ma - IEEE Journal of Selected Topics in Applied …, 2025 - ieeexplore.ieee.org
In this work, a set of retrieval methods for evaluating the aerosol mass concentration suitable
for high-pollution areas is used to study the vertical distribution of the PM2. 5 mass …
for high-pollution areas is used to study the vertical distribution of the PM2. 5 mass …
[HTML][HTML] Bridging the Data Gap: Enhancing the Spatiotemporal Accuracy of Hourly PM2.5 Concentration through the Fusion of Satellite-Derived Estimations and …
W Chu, C Zhang, H Li - Remote Sensing, 2023 - mdpi.com
Satellite-derived aerosol optical depth (AOD) has been extensively utilized for retrieving
ground-level PM2. 5 distributions. However, the presence of non-random missing data gaps …
ground-level PM2. 5 distributions. However, the presence of non-random missing data gaps …