nikhilba / Aerial-Imagery
Data Science Research Project: Map poverty using satellite images.
☆11Updated 4 years ago
Alternatives and similar repositories for Aerial-Imagery:
Users that are interested in Aerial-Imagery are comparing it to the libraries listed below
- ☆16Updated 4 years ago
- Spatial feature processing of satellite imagery☆30Updated 6 years ago
- Using A Segmentation Neural Net to map out flooded areas of Houston TX using satellite imagery☆27Updated 7 years ago
- Exploiting ConvNet Diversity for Flooding Identification -- Flood Detection in Satellite Images [FDSI] -- [2017 Multimedia Satellite Task…☆16Updated 6 years ago
- Python - Rasterio and Geopandas to calculate Zonal Statistics☆14Updated 5 years ago
- ML pipeline to classify crop types with multi-spectral and multi-temporal EO data☆19Updated 6 years ago
- 🛰 🌴 AGBench is a Python library that benchmarks satellite-based aboveground biomass or carbon estimate maps.☆8Updated 5 months ago
- Introductions to Keras to perform computer vision tasks, with data exploration, error analysis and improving results.☆18Updated 5 years ago
- Satsense is a Python library for land use/cover classification using satellite imagery☆24Updated 4 years ago
- GeoPAT 2 - a suite of modules dedicated to analysis of large datasets in their entirety using spatial and/or temporal patterns☆44Updated 7 months ago
- Deep CNN and RNN for Satellite Image Time Series☆9Updated 8 years ago
- Detect container ships in Planet imagery using machine learning☆35Updated 4 years ago
- Production of a cropland extent map for Africa☆13Updated last year
- GBDX Stories notebooks.☆31Updated 7 years ago
- ☆24Updated 7 years ago
- Data and code for the paper "Remote Sensing-Based Measurement of Living Environment Deprivation - Improving Classical Approaches with Mac…☆15Updated 6 years ago
- ☆37Updated 4 years ago
- Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification☆37Updated 6 years ago
- Replication code for "Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap"☆17Updated 5 years ago
- Multi-temporal land cover maps with a Hidden Markov Model☆14Updated 3 years ago
- One-class classification in the absence of test data.☆31Updated 4 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
- ☆12Updated 3 weeks ago
- contents for 2019 raster tutorial☆19Updated 3 years ago
- Some tutorials for remote sensing using python (rasterio, numpy, gdal, etc)☆12Updated 9 years ago
- Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery☆60Updated 6 years ago
- Machine learning and deep-learning project tutorials☆12Updated 6 years ago
- Classify crop types in drone images with a pre-trained CNN☆11Updated 5 years ago
- ☆10Updated 5 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