Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.
☆104Sep 28, 2023Updated 2 years ago
Alternatives and similar repositories for Land-Cover-Classification-using-Sentinel-2-Dataset
Users that are interested in Land-Cover-Classification-using-Sentinel-2-Dataset are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Determine land use and land cover classification based on Sentinel-2 satellite images with state-of-the-art performance 🛰☆27May 4, 2019Updated 7 years ago
- LINDER (Land use INDexER) is an open-source machine-learning based land use/land cover (LULC) classifier using Sentinel 2 satellite image…☆13Jul 14, 2020Updated 5 years ago
- Object-based Image Analysis (OBIA)☆25May 18, 2022Updated 3 years ago
- EuroSAT: Land Use and Land Cover Classification with Sentinel-2☆542Mar 9, 2023Updated 3 years ago
- A deep learning (neural network) land cover classification project using satellite images (remote sensing).☆36Apr 20, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Landcover classification on sentinel-2 data with Prithvi, EfficientNet-Unet and OSM / CNES Landcover labels.☆12Apr 11, 2024Updated 2 years ago
- Image classification on Sentinel-2 satellite imagery.☆43Jul 6, 2023Updated 2 years ago
- LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development…☆64Feb 8, 2022Updated 4 years ago
- Notebooks for preprocessing and analysis of Planetscope 4 band data/imagery, using rasterio and fiona.☆10May 21, 2024Updated last year
- Code for journal paper "Deep Learning for Land Cover Change Detection".☆39Dec 28, 2020Updated 5 years ago
- Demo Google Maps Vector, Deck.gl and CARTO☆15Mar 6, 2023Updated 3 years ago
- Satellite images classification☆15Nov 30, 2019Updated 6 years ago
- Land Use Classification CNN model using satellite imagery☆16Feb 7, 2026Updated 2 months ago
- An easy-to-use Python library to download SAR imagery from Google Earth Engine☆14Mar 15, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery, TCSVT, 2022☆17Apr 3, 2023Updated 3 years ago
- Land use classification project using open source tools☆10Sep 16, 2018Updated 7 years ago
- List of datasets and codes for remote sensing LULC applications.☆54Aug 1, 2024Updated last year
- Ship detection from satellite imagery using Deep Learning model (YOLOv5). Model trained with custom Sentinel-1 dataset provided by Earth …☆27Dec 13, 2022Updated 3 years ago
- This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification)…☆53Oct 7, 2022Updated 3 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆52Dec 22, 2024Updated last year
- Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.☆268May 5, 2022Updated 3 years ago
- Replication code for "Supervised Classification of Built-up Areas in Sub-Saharan African Cities using Landsat Imagery and OpenStreetMap"☆17Jun 14, 2019Updated 6 years ago
- All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A s…☆72Sep 21, 2020Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Saving nerds eyes.☆16Jan 15, 2022Updated 4 years ago
- This project aims to perform waterbodies segmentation of Toushka lakes, located in the southern desert of Egypt. The segmentation task is…☆12Oct 2, 2024Updated last year
- Deep learning courses and projects☆94Aug 24, 2018Updated 7 years ago
- Code for training and testing deep learning based land cover models.☆97Mar 25, 2023Updated 3 years ago
- A repo for sharing notebooks☆14Mar 16, 2026Updated last month
- Talks, Meetup and Workshops☆12Jun 4, 2024Updated last year
- R 'reticulate' wrapper for `segment-geospatial` 'Python' package for segmenting geospatial data with the ‘Segment Anything Model’ (SAM).☆14May 8, 2023Updated 2 years ago
- The official repository for the paper "Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters"☆19May 2, 2025Updated last year
- Sample scripts and notebooks on processing satellite imagery Python Geospatial raster☆205May 3, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Image segmentations of trees outside forest☆179Dec 8, 2025Updated 4 months ago
- Resources for deep learning with satellite & aerial imagery☆12Jun 7, 2022Updated 3 years ago
- geospatial analysis tutorial☆32Jun 14, 2023Updated 2 years ago
- Tools for Downloading, Customizing, and Processing Time Series of Satellite Images from Landsat, MODIS, and Sentinel☆50Feb 9, 2023Updated 3 years ago
- This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).☆104Aug 12, 2021Updated 4 years ago
- SCALAE: Formatting the Landscape: Spatial conditional GAN for varying population in satellite imagery☆13Jan 15, 2021Updated 5 years ago
- ☆30Feb 15, 2023Updated 3 years ago