IMT-Project-LTS-SR / MRUNet-for-MODIS-super-resolutionView external linksLinks
This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
☆37Apr 6, 2022Updated 3 years ago
Alternatives and similar repositories for MRUNet-for-MODIS-super-resolution
Users that are interested in MRUNet-for-MODIS-super-resolution are comparing it to the libraries listed below
Sorting:
- Modis land surface temperature image downscaling using NDVI as a predictor with random forest regression☆26Mar 27, 2022Updated 3 years ago
- Practical split-window algorithm estimating Land Surface Temperature from Landsat 8 OLI/TIRS imagery☆26Jul 10, 2020Updated 5 years ago
- Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.☆25Mar 24, 2022Updated 3 years ago
- Water color classification and optimization based on hyper/multispectral reflectances.☆10Jan 6, 2022Updated 4 years ago
- ☆44Jun 19, 2025Updated 7 months ago
- Land Surface Temperature from Landsat on Google Earth Engine☆122Aug 2, 2023Updated 2 years ago
- This code is for the paper "e-TransUNet: TransUNet provides a strong spatial transformation for precise deforestation mapping" that is pu…☆14May 28, 2024Updated last year
- A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.☆92Jul 15, 2024Updated last year
- PNAS -- Historical change of El Niño properties sheds light on future changes of extreme El Niño☆12Jul 10, 2022Updated 3 years ago
- Line Segment Detection and Description Evaluation☆16Mar 15, 2025Updated 11 months ago
- Download wildfires data from NOAA satellites☆14Updated this week
- The semantic segmentation of remote sensing images☆15Jul 29, 2022Updated 3 years ago
- ☆15Mar 31, 2023Updated 2 years ago
- Aiming to understand the factors influencing urban land surface temperature during the day and night☆20Feb 2, 2023Updated 3 years ago
- Repository for IBM weather downscaling model☆46Sep 18, 2025Updated 4 months ago
- A Colab notebook for land cover mapping and monitoring using Earth Engine☆38Oct 27, 2023Updated 2 years ago
- ☆43Feb 16, 2023Updated 3 years ago
- Implementation of Dabrowski et. al., "Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wi…☆25Apr 2, 2024Updated last year
- Provides spatial tools to translate raster or vector polygon data to regular grids☆16Jan 5, 2026Updated last month
- ☆21May 16, 2025Updated 9 months ago
- Spectral endmembers and unmixing tools for satellite land cover mapping.☆25Sep 10, 2023Updated 2 years ago
- A Unified Remote Sensing Object Detector Based on Fourier Contour Parametric Learning☆21Dec 11, 2025Updated 2 months ago
- End-to-End CLIP-driven Mamba Model for Multi-modal Fusion☆31Jun 2, 2025Updated 8 months ago
- Class prior-free PU Learning for hyperspectral imagery (ICCV 2023)☆27Jan 28, 2026Updated 2 weeks ago
- ☆19Mar 21, 2024Updated last year
- ☆14Mar 23, 2021Updated 4 years ago
- Code for paper Gap Filling of High-Resolution Soil Moisture for SMAP/Sentinel-1: A Two-Layer Machine Learning-Based Framework .☆23May 13, 2020Updated 5 years ago
- Ocean bathymetry predication by Deep Learning☆25Jun 7, 2024Updated last year
- Paper Title: Heterogeneous Knowledge Distillation for Simultaneous Infrared-Visible Image Fusion and Super-Resolution☆22Jan 9, 2022Updated 4 years ago
- ☆23Feb 6, 2024Updated 2 years ago
- A fast way to retrieve water surface area time-series from Sentinel-2 and Landsat in GEE☆28Dec 17, 2024Updated last year
- Google Earth Engine code for land classification in Tanintharyi, Myanmar☆26May 3, 2020Updated 5 years ago
- ☆28Mar 18, 2024Updated last year
- STEM: Numerical model to simulate railway induced vibrations☆15Updated this week
- Using knowledge-guided machine learning to assess patterns of areal change in waterbodies across the contiguous US☆10Mar 28, 2024Updated last year
- ☆24Nov 7, 2022Updated 3 years ago
- Tackling Climate Change with Time Series Analysis and Forecasting☆31Jan 2, 2026Updated last month
- Characterizing urban land use with machine learning☆33Sep 1, 2020Updated 5 years ago
- Toolkit for using Microsoft AI for Good team's flood detection model with SAR imagery☆55Nov 4, 2025Updated 3 months ago