HELIOS-Net: Hourly daytime estimation of land surface temperature with integration of observational solar-cloud-satellite geometry and deep neural network

This publication has 63 references indexed in Scilit:

• Hourly land surface temperature retrieval over the Tibetan Plateau using Geo-LightGBM framework: Fusion of Himawari-8 satellite, ERA5 and site observations
  Advances in Climate Change Research, 2024
• A new statistical downscaling approach for short‐term forecasting of summer air temperatures through a fusion of deep learning and spatial interpolation
  Quarterly Journal of the Royal Meteorological Society, 2024
• A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
  ISPRS Journal of Photogrammetry and Remote Sensing, 2023
• A stepwise framework for interpolating land surface temperature under cloudy conditions based on the solar-cloud-satellite geometry
  ISPRS Journal of Photogrammetry and Remote Sensing, 2023
• The reconstruction for the monthly surface air temperature over the Tibetan Plateau during 1901–2020 by deep learning
  Atmospheric Research, 2023
• Meteorological Products of Geo-KOMPSAT 2A (GK2A) Satellite
  Asia-Pacific Journal of Atmospheric Sciences, 2020
• Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
  ISPRS Journal of Photogrammetry and Remote Sensing, 2019
• A two-step framework for reconstructing remotely sensed land surface temperatures contaminated by cloud
  ISPRS Journal of Photogrammetry and Remote Sensing, 2018
• Remote sensing land surface temperature for meteorology and climatology: a review
  Meteorological Applications, 2011
• Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends
  ISPRS Journal of Photogrammetry and Remote Sensing, 2009