nighttime-lights

[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

Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble

Package to analyse VIIRS nighttime lights

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

District-wise nighttime lights database for India (641 districts, 2012-2024) using VIIRS satellite data.

This project uses alternative data, including remote sensing, to track economic activity in Syria in a data-scarce, conflict-affected context. It analyses port and trade activity, mobility patterns, internet connectivity, nighttime lights, vegetation conditions, and conflict events to monitor economic trends and support evidence-based policy.

Repository for the paper "Revealing land use dynamics in armed-conflict hotspots in North-East Nigeria using earth observation data"

This project uses alternative data to monitor economic trends in Niger following the 2023 coup and civil unrest. It analyzes indicators such as conflict events, nighttime lights, crop conditions, and population movement patterns using geospatial, mobility, and remote sensing data to assess the impacts of conflict and instability.

space2stats-stata: Stata package to query satellite data processed from Space2Stats to subnational boundaries

Predicting which Philippine municipalities stay without power after typhoons, using NASA Black Marble nighttime lights, Google Earth Engine and machine learning, with spatially explicit tests of transfer to unseen storms.

The project aimed to estimate a metric of local inequality derived from openly sourced nightlight and gridded population data. By merging these data, per capita nightlight emissions values were calculated at the grid cell level and used to determine the Gini index of inequality for the 774 LGAs in Nigeria in 2023.

This project uses alternative data sources to monitor economic activity in Algeria where traditional data are limited. It combines datasets such as nighttime lights, air pollution, surveys, and internet connectivity, applying geospatial and statistical analysis to track economic trends and sectoral patterns.

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.

Nighttime lights change in Chile (2014–2019–2024) using VIIRS Black Marble (VNP46A3): annual composites, deltas, and regional metrics.

Satellite-Calibrated Informal Economy Quantification System | District-Level Shadow Economy Risk Assessment using NASA VIIRS, RBI Financial Infrastructure, Census, MSME Data & Explainable Machine Learning.

This project uses alternative data to analyze economic activity, business dynamics, and spatial inequality in Egypt, including gender inequality. It develops indicators such as nighttime lights, business activity measures, and spatial datasets, alongside a Gender Equality Survey, to support economic analysis for the Egypt Country Memorandum

This project uses alternative data to monitor economic and poverty trends in Ethiopia. It analyzes nighttime lights, air pollution, crop productivity, conflict events, Google search trends, and crowd-sourced survey data to track economic activity, agricultural conditions, and societal responses to conflict and crisis.

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