vgadodia / FloodMLLinks
A web application that predicts and visualizes upcoming floods, helping people and governments prepare for and reallocate resources for floods.
☆23Updated last year
Alternatives and similar repositories for FloodML
Users that are interested in FloodML are comparing it to the libraries listed below
Sorting:
- Dataset Analysis & CNN Models Optimization for Plant Disease Classification.☆14Updated 4 years ago
- Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for i…☆32Updated 3 years ago
- Prediction of whether a flood may occur or not, depending rainfall data, using machine learning algorithms☆47Updated 5 years ago
- This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images☆42Updated 3 years ago
- ☆39Updated 2 years ago
- Machine learning to predict floods☆69Updated 5 years ago
- Advance warning system for flood with rainfall analysis☆55Updated 6 years ago
- A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population☆74Updated 6 years ago
- QGIS Plugin☆14Updated 3 years ago
- Application of deep learning for earth observation.☆124Updated last year
- Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.☆13Updated 5 years ago
- Prediction of Crop Yield for farmers based on weather, satellite data☆62Updated 7 years ago
- Machine learning in geospatial data☆31Updated last year
- We aim to build an ML model that will predict the yield of a crop using time series analysis of remote sensing data.☆47Updated 3 years ago
- Study & assessment of probable impact of catastrophic flood events & manage flood risk with a first order flood-fill model developed usin…☆48Updated 7 years ago
- ☆43Updated 2 years ago
- Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning☆23Updated 2 years ago
- Crop Yield Prediction using Machine Learning☆50Updated 4 years ago
- A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image☆32Updated 3 years ago
- Prediction of crop yields based on climate variables using machine learning algorithms☆14Updated 6 months ago
- TensorFlow implementation of a Multi-Input ConvLSTM for predicting flood extent.☆19Updated 4 years ago
- The proposed system will be able to predict the crop yield production which will be useful to farmers for harvesting and storage. The sys…☆29Updated 10 months ago
- Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.☆264Updated 3 years ago
- Calculate floodwater depth based on an inundation polygon (e.g. from remote sensing) and a DEM. See: http://csdms.colorado.edu/wiki/Model…☆67Updated last year
- Landslide Hazard Analysis for Situational Awareness☆57Updated last month
- HYDrologic Remote sensing Analysis for Floods Python package☆182Updated 5 months ago
- This repo contain the most common tools used in geospatial analysis using python!☆45Updated last year
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆100Updated 4 years ago
- ☆47Updated 9 months ago
- Weather Forecasting report over the Jaipur Dataset for Rain Prediction☆29Updated 6 years ago