[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

[ACMMM2023] "Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution", https://arxiv.org/abs/2308.01738

Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble

Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.

Package to analyse VIIRS nighttime lights

Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble

Support for the Syria Economic Monitor

Gaza-Israel 2023 Conflict Impact Analysis

Future Urban-Wildfire Risk Mapping (FUWRM), pronounced as "form". This repository holds the programming script files and some of the binaries that represent the predictive risk maps for wildfires in urban regions of Southern Victoria (AUS) and Northern California (USA) in 2030 and 2040.

All of the data and code required to replicate our Remote Sensing Applications: Society and Environment paper

This machine learning based approach uses the nighttime lights of a country as a proxy to predict the economic activities of the country.