carsonluuu / Poverty-Prediction-by-Satellite-Imagery
Poverty Prediction by Combination of Satellite Imagery
☆42Updated 4 years ago
Alternatives and similar repositories for Poverty-Prediction-by-Satellite-Imagery:
Users that are interested in Poverty-Prediction-by-Satellite-Imagery are comparing it to the libraries listed below
- A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty☆88Updated last year
- ☆9Updated 6 years ago
- Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and huma…☆50Updated 6 years ago
- Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information☆82Updated 2 years ago
- A comparative assessment of machine learning classification algorithms applied to poverty prediction☆56Updated 6 years ago
- Deep learning courses and projects☆96Updated 6 years ago
- Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"☆35Updated 6 years ago
- 8th place solution to Zindi's FarmPin Crop Detection Challenge☆137Updated 5 years ago
- ☆14Updated 6 years ago
- Public repository for sharing tutorials. For the full client documentation, visit https://docs.descarteslabs.com/☆11Updated 9 months ago
- Experiments with satellite image data☆121Updated 5 years ago
- Geospatial Data Science Quick Start Guide, published by Packt☆38Updated 2 years ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆64Updated 6 years ago
- Correlation between Vegetation Health Index- VHI values and number of individuals registered due to Conflict/Insecurity/Flood/Drought☆12Updated 2 years ago
- ☆113Updated last year
- Visualize classified time series data with interactive Sankey plots in Google Earth Engine☆103Updated last year
- Code for constructing the urban environments dataset and for land use classification via convolutional neural networks☆114Updated 6 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆80Updated 5 years ago
- ☆56Updated 6 years ago
- Combining satellite imagery and machine learning to predict poverty☆458Updated 5 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆59Updated 3 years ago
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)☆193Updated 3 years ago
- Monitoring water levels of lakes and reservoirs using satellite imagery☆82Updated 3 years ago
- A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from th…☆105Updated 4 years ago
- ☆18Updated 4 years ago
- Winning Solutions from Crop Type Detection Competition at CV4A workshop, ICLR 2020☆66Updated 4 years ago
- Tutorials for spatial data processing and analysis in R and Python☆43Updated 6 years ago
- Understanding crop yield predictions from CNNs as our final project for CS231N☆37Updated 7 years ago
- Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification☆37Updated 6 years ago
- Spatial classification and regression using Scikit-learn and Rasterio☆126Updated 2 years ago