M2-APNet: A multimodal deep learning network to predict major air pollutants from temporal satellite images

Systematic Evaluation of Four Satellite AOD Datasets for Estimating PM2.5 Using a Random Forest Approach

(2023) Jana Handschuh et al.   Remote Sensing

Predicting air quality via multimodal AI and satellite imagery

(2023) Andrew Rowley et al.   REMOTE SENSING OF ENVIRONMENT

Real-time image-based air quality estimation by deep learning neural networks

(2022) Pu-Yun Kow et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Global spatiotemporal completion of daily high-resolution TCCO from TROPOMI over land using a swath-based local ensemble learning method

(2022) Yuan Wang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Generating a long-term (2003−2020) hourly 0.25° global PM2.5 dataset via spatiotemporal downscaling of CAMS with deep learning (DeepCAMS)

(2022) Yi Xiao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP

(2021) Yuan Wang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection

(2021) Yi Xiao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Framework to Predict High-Resolution Spatiotemporal PM2.5 Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China

(2020) Guangyuan Zhang et al.   Remote Sensing

A novel framework for seamless mosaic of Cartosat-1 DEM scenes

(2020) Rajeshreddy Datla et al.   COMPUTERS & GEOSCIENCES

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks

(2020) Jovan Kalajdjieski et al.   Remote Sensing

Spatiotemporal prediction of air quality based on LSTM neural network

(2020) Dewen Seng et al.   Alexandria Engineering Journal

PM2.5 Prediction Based on Random Forest, XGBoost, and Deep Learning Using Multisource Remote Sensing Data

(2019) Mehdi Zamani Joharestani et al.   Atmosphere

Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-grained Air Quality

(2018) Zhongang Qi et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data

(2018) Shikhar Srivastava et al.   SOLAR ENERGY

Estimating PM2.5 Concentrations in the Conterminous United States Using the Random Forest Approach

(2017) Xuefei Hu et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Remote Sensing Image Scene Classification: Benchmark and State of the Art

(2017) Gong Cheng et al.   PROCEEDINGS OF THE IEEE

Estimation of Ground PM2.5 Concentrations using a DEM-assisted Information Diffusion Algorithm: A Case Study in China

(2017) Lei Ma et al.   Scientific Reports

Air pollution prediction via multi-label classification

(2016) Giorgio Corani et al.   ENVIRONMENTAL MODELLING & SOFTWARE