[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564
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Updated
Aug 29, 2024 - HTML
[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
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.
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.
This project uses alternative data to assess the socioeconomic impacts of the 2023 Morocco earthquake. It analyzes indicators such as population impacts, connectivity, economic activity, drought conditions, and conflict trends using geospatial, mobility, survey, and remote sensing data to support damage assessment and displacement monitoring.
Notebooks analyzing NASA Black Marble nighttime-lights trends across the Philippine National Capital Region
Title: Illuminating Human Activity: Nighttime Lights and Population Hotspots in Berlin and Accra. This mini-project explores how satellite-derived nighttime lights can be used as a proxy for human activity and urban development. Used VIIRS nighttime light radiance with gridded population data to identify spatial hotspots of intense human presence.
All of the data and code required to replicate our Remote Sensing Applications: Society and Environment paper
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