huydang90 / Mapping-Poverty-With-Satellite-Images
Thesis project to map poverty based on satellite images and deep learning
☆15Updated 2 years ago
Alternatives and similar repositories for Mapping-Poverty-With-Satellite-Images:
Users that are interested in Mapping-Poverty-With-Satellite-Images are comparing it to the libraries listed below
- Using Satellite Imagery and Deep Learning to Evaluate the Impact of Anti-Poverty Programs☆16Updated 3 years ago
- Using satellite imagery to better target disaster relief efforts☆16Updated 5 years ago
- Label satellite images from the Amazon basin, in order to better track and understand causes of deforestation.☆15Updated 3 years ago
- A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.☆14Updated 3 years ago
- Determine land use and land cover classification based on Sentinel-2 satellite images with state-of-the-art performance 🛰☆25Updated 5 years ago
- ☆16Updated 4 years ago
- NASA SEES (2021): CNN Mosquito Detection Research☆12Updated 2 years ago
- Satsense is a Python library for land use/cover classification using satellite imagery☆24Updated 4 years ago
- A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty☆84Updated last year
- Roof segmentation in satellite images☆12Updated last year
- Tool for species-level segregation of camera-trap images. The 'Species Segregator' is currently trained for Central Indian Landscape.☆15Updated 6 months ago
- Using GAN to do super resolution of satellite images☆14Updated 3 years ago
- Poverty Prediction by Combination of Satellite Imagery☆42Updated 4 years ago
- Spatial feature processing of satellite imagery☆31Updated 6 years ago
- Code for "Estimating Generalized Measures of Local Neighbourhood Context from Multispectral Satellite Images Using a Convolutional Neural…☆22Updated 2 years ago
- This repository contains the files for running the Patchify GUI.☆11Updated 3 years ago
- Using machine learning to recover air quality data from remote sensing datasets.☆12Updated 4 years ago
- Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information☆82Updated 2 years ago
- A repo for the CNN model☆12Updated 7 months ago
- Python - Rasterio and Geopandas to calculate Zonal Statistics☆14Updated 5 years ago
- This repository contains my work that supports my article on Towards Data Science: "Exploring the Most Popular Machine Learning and Deep …☆21Updated 3 years ago
- Remote sensing with Python tutorials☆50Updated 5 years ago
- Simulation of urban heat islands in Lausanne with the InVEST urban cooling model☆16Updated 3 years ago
- Segmenting center pivot agriculture to monitor crop water use in drylands with Mask R-CNN and Landsat satellite imagery☆30Updated 2 years ago
- Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite image…☆26Updated 6 years ago
- Experiments for the Climate Change AI summer school 2023 tutorial on "AI for Monitoring, Reporting, and Verification"☆16Updated last year
- Prediction of Crop Yield for farmers based on weather, satellite data☆54Updated 6 years ago
- ☆10Updated last year
- Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.☆18Updated 4 years ago
- Just messing around with weather data☆17Updated 3 years ago