land-cover-classification
There are 11 repositories under land-cover-classification topic.
- Language:R 433
milleniums / High-Resolution-Remote-Sensing-Semantic-Segmentation-PyTorch
PyTorch实现高分遥感语义分割（地物分类）
Language:Python 408ESIPFed / Awesome-Earth-Artificial-Intelligence
A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
raoofnaushad / Land-Cover-Classification-using-Sentinel-2-Dataset
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.
Language:Jupyter Notebook 69Pale-Blue-Dot-97 / Minerva
Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.
Language:Python 19aokdata / Land_Cover_Classification
A deep learning (neural network) land cover classification project using satellite images (remote sensing).
Language:Jupyter Notebook 12hamidrezaomidvar / LINDER
LINDER (Land use INDexER) is an open-source machine-learning based land use/land cover (LULC) classifier using Sentinel 2 satellite imagery
Language:Python 12JAEarly / MIL-Land-Cover-Classification
Code for the paper "Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification".
Language:Python 12AndrzejKucik / SNN4Space
ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.
Language:Python 11yuvalofek / Remote-Sensing
Fundamentals of Remote Sensing and Earth Observation Course
Language:Jupyter Notebook 8jiankang1991 / BigEarthNet-Sen1
Pipelines for BigEarthNet-Sen1 creation.
Language:Python 7Akhilesh64 / Land-Cover-Classification
Classification of land based on land cover data.
Language:Jupyter Notebook 6brazil-data-cube / lccs-ws
Land Cover Classification System Web Service
Language:Python 5fotioudim / Google-Earth-Engine-environmental-projects
A repository to showcase environmental projects implemented with Google Earth Engine platform, Javascript and machine learning algorithms.
Language:JavaScript 5- Language:Jupyter Notebook 5
nikjohn7 / Custom-Land-Cover-Classification
My implementation of simple Land cover classification using Keras. This was part of one of my internships
Language:Jupyter Notebook 5vannizhang / sentinel2-land-cover-explorer
The source code of the Sentinel-2 Land Cover Explorer has been moved to https://github.com/Esri/imagery-explorer-apps
Language:TypeScript 5adebowaledaniel / sits-change-detection
Detecting Land Cover Changes Between Satellite Image Time Series By Exploiting Self-Supervised Representation Learning Capabilities
Language:Python 4Land Cover Classification System Database Model
Language:Python 4Land Cover Classification System Web Service Specification
Study about Urban Green Spaces in Athens GR, using the Google Earth Engine platform, along with Landsat 8 and 9 imagery and Random Forest supervised machine learning algorithms.
Language:JavaScript 4codes for RS paper: High-Rankness Regularized Semi-supervised Deep Metric Learning for Remote Sensing Imagery
Language:Python 4LLeiSong / hrlcm
Land cover classification in Tanzania using ensemble labels and high resolution Planet NICFI basemaps and Sentinel-1 time series.
Language:Python 4rizayeva / coronaClassification
Pixel-based and object-oriented land cover classifications of historical panchromatic Corona Spy satellite images
RunyuFan / Semi-MCNN-JSTARS-2020
Code for our JSTARS paper "Semi-MCNN: A semisupervised multi-CNN ensemble learning method for urban land cover classification using submeter HRRS images"
Language:Python 4Akash-Ramjyothi / Land-Cover-Classification-Satellite-Image-Processing
Developed a and Cover Classification system using Satellite Image Processing with the help of Remote Sensing images. The system can classify between Forest land, Agricultural of Paddy fields nd Urban areas from a given Dataset. All the step by step procedure has been done and executed in the Jupyter notebook. The system can also clasify the Land cover into various other categories as well as shown in the Sample predicted results.
Language:Jupyter Notebook 3- Language:Jupyter Notebook 3
- Language:Jupyter Notebook 3
- VCS_Project
carlosgorlongaiatto / VCS_Project
Multi-scale patch-wise semantic segmentation of satellite images using U-Net architecture.
Language:Jupyter Notebook 2 clausmichele / openEO_photovoltaic
Photovoltaic Farms Mapping with openEO
Language:Jupyter Notebook 2koos-burgoyne / EOLearn
A simple example of a machine learning library for land-cover classification
Language:Python 2rslab-ntua / cropmaps
Crop type mapping solution for MAGO Project (NTUA)
Language:Jupyter Notebook 2avulaankith / BigEarthNet
Work for BigEarthNet Data using resnet-50
Language:Jupyter Notebook 1iremozcann / Land-Cover-Prediction-Using-Machine-Learning
Land Cover Prediction from Satellite Imagery Using Machine Learning Techniques
Language:Jupyter Notebook 1- Language:Python 1
