gabboraron / Nvidia-Disaster_Risk_Monitoring_Using_Satellite_ImageryLinks
Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.
☆17Updated 3 years ago
Alternatives and similar repositories for Nvidia-Disaster_Risk_Monitoring_Using_Satellite_Imagery
Users that are interested in Nvidia-Disaster_Risk_Monitoring_Using_Satellite_Imagery are comparing it to the libraries listed below
Sorting:
- A python implementation and a QGIS plugin for Land Use Mix indices and other related calculations.☆25Updated last year
- ☆22Updated 10 months ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆63Updated 3 years ago
- Applied Geospatial Data Science with Python, published by Packt☆124Updated last month
- A list of geospatial datasets on NASA's Common Metadata Repository (CMR)☆30Updated this week
- Development and Reseach for Typhoon Impact Forecasting Model☆18Updated 7 months ago
- Geospatial Data Science Quick Start Guide, published by Packt☆38Updated 3 years ago
- Instructor: Xiaojiang Li☆18Updated 2 years ago
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- Python scripts and Jupyter Notebooks to download and preprocess VIIRS DNB Nighttime Lights data.☆19Updated 5 years ago
- A collection of Jupyter notebook examples for using GeoAI☆62Updated 2 weeks ago
- ☆22Updated 5 years ago
- ☆12Updated last year
- ☆15Updated 2 years ago
- ☆12Updated 8 months ago
- Buenas prácticas con QGIS🐧 aplicado a los Recursos Hídricos.☆11Updated 4 years ago
- ☆63Updated 6 years ago
- contents for 2019 raster tutorial☆19Updated 4 years ago
- Materials for 1/21/21 DataPhilly workshop☆26Updated 5 years ago
- This is notebook series about my talk at geopython 2021☆16Updated 4 years ago
- Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.☆14Updated 5 years ago
- ☆53Updated 4 years ago
- Understanding crop yield predictions from CNNs as our final project for CS231N☆38Updated 8 years ago
- ☆42Updated 3 years ago
- D-Lab's 6 hour introduction to working with geospatial data in Python. Learn how to import, visualize, and analyze geospatial data using …☆61Updated 3 years ago
- Prediction of Crop Yield for farmers based on weather, satellite data☆63Updated 7 years ago
- Spatial Analysis and Remote Sensing with Python Tutorials☆32Updated 2 months ago
- This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.☆71Updated 4 years ago
- Introductions to Keras to perform computer vision tasks, with data exploration, error analysis and improving results.☆18Updated 5 years ago
- Materials for the Intro to Programming for GIS and Remote Sensing Course that I teach at Saint Louis University☆13Updated 4 years ago