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:
- Buenas prácticas con QGIS🐧 aplicado a los Recursos Hídricos.☆11Updated 4 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆63Updated 4 years ago
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆30Updated 2 years ago
- This repository contains the Python code for the UN-SPIDER Recommended Practice on Burn Severity Mapping.☆20Updated last year
- Applied Geospatial Data Science with Python, published by Packt☆124Updated this week
- ☆63Updated 6 years ago
- Understanding crop yield predictions from CNNs as our final project for CS231N☆38Updated 8 years ago
- This repo contain the most common tools used in geospatial analysis using python!☆47Updated last year
- Development and Reseach for Typhoon Impact Forecasting Model☆18Updated 8 months ago
- contents for 2019 raster tutorial☆19Updated 4 years ago
- ☆47Updated 11 months ago
- A python implementation and a QGIS plugin for Land Use Mix indices and other related calculations.☆25Updated last year
- Spatial Analysis and Remote Sensing with Python Tutorials☆33Updated 3 months ago
- This is an collection of blog posts turned into a course format☆88Updated 6 years ago
- This includes short and minimalistic few sessions covering fundamentals of Python programing language for geospatial data analysis.☆71Updated 4 years ago
- Visualize classified time series data with interactive Sankey plots in Google Earth Engine☆106Updated 7 months ago
- Class for Pratt SAVI 810 2020-03: Intro to Python Scripting for Geospatial☆37Updated 5 years ago
- Prediction of Crop Yield for farmers based on weather, satellite data☆63Updated 7 years ago
- A hands-on guide to scientific programming and reproducible research with python for environmental scientists