sohailahmedkhan / Flood-Detection-from-Images-using-Deep-Learning
Flood detection from images using deep learning. Deep learning library KERAS was employed and MobileNet architecture was fine-tuned for image classification task.
☆26Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Flood-Detection-from-Images-using-Deep-Learning
- Land Cover Change Detection using Satellite Image Segmentation.☆48Updated last year
- This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images☆29Updated 2 years ago
- Exploring the effect of COVID-19 in air pollution by using satellite data, with the sentinelsat and cartopy libraries.☆13Updated 4 years ago
- Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images☆18Updated 2 years ago
- ☆51Updated last year
- List of datasets and codes for remote sensing LULC applications.☆31Updated 3 months ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆79Updated last year
- A deep learning (neural network) land cover classification project using satellite images (remote sensing).☆17Updated last year
- This repository is for an earth analytics applications project focused on flood detection and analysis☆13Updated 5 years ago
- Python - Rasterio and Geopandas to calculate Zonal Statistics☆14Updated 5 years ago
- Road Detection from Remote Sensing Imagery using Deep Learning Techniques☆14Updated last year
- ☆12Updated 2 weeks ago
- ☆55Updated 5 years ago
- Machine learning in geospatial data☆23Updated 9 months ago
- A JavaScript code developed in Google Earth Engine (GEE) Platform to Detect Flooded Area along with Affected Population☆51Updated 5 years ago
- ☆23Updated last year
- A tutorial for creating a gif that displays the land surface temperature (LST) for a selected part of a city, alongside an optical image …☆13Updated last year
- A simple script to create geo-tagged image chips from high-resolution RS images for training deep learning models such as U-net.☆14Updated 3 years ago
- Code Repository for: "Multitask Learning for Estimating Power Plant Greenhouse Gas Emissions from Satellite Imagery" from NeurIPS 2021 Wo…☆29Updated 4 months ago
- Satellite Image Segmentation for Flood Detection and Analysis using UNET with Resnet-34 as the back bone.☆35Updated 3 years ago
- Codebase for land cover classification with U-Net☆18Updated 5 years ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆63Updated 5 years ago
- Winter Wheat Yield Estimation from Multi-temporal Remote Sensing Images Based on Convolutional Neural Networks☆15Updated 4 years ago
- Enhancement of MODIS NIDVI to 10m resolution using U-Net☆28Updated last year
- Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of th…☆21Updated 3 years ago
- Estimate vegetation height from satellite images using deep learning.☆21Updated 2 years ago
- Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.☆35Updated 3 years ago
- Practical Project for Semantic Segmentation of Building Footprint from Satellite Images☆19Updated 3 years ago
- This repo contains the code for satellite image analysis using deep learning.☆19Updated 2 years ago
- ☆18Updated 2 years ago