Satellite LULC Classification ML Frameworks

Projects for land use and land cover (LULC) classification using satellite/aerial imagery with machine learning and deep learning. Includes multi-class land cover mapping (vegetation, water, urban, etc.) and related geospatial classification tasks. Does NOT include crop-type-specific classification, change detection, or general remote sensing applications beyond LULC categorization.

There are 64 satellite lulc classification frameworks tracked. 2 score above 50 (established tier). The highest-rated is maja601/EuroCrops at 53/100 with 210 stars.

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#	Framework	Score	Tier	Stars	Language
1	maja601/EuroCrops The official repository for the EuroCrops dataset.	53	Established	210	Jupyter Notebook
2	dida-do/eurocropsml EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type...	52	Established	25	Python
3	langnico/global-canopy-height-model This repository contains the code used in the paper: A high-resolution...	47	Emerging	177	Python
4	raoofnaushad/Land-Cover-Classification-using-Sentinel-2-Dataset Application of deep learning on Satellite Imagery of Sentinel-2 satellite...	45	Emerging	100	Jupyter Notebook
5	clejae/europe_land_iacs_prep Preprocessing and harmonization scripts for IACS/GSA data.	45	Emerging	5	Python
6	Orion-AI-Lab/S4A Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for...	44	Emerging	110	Jupyter Notebook
7	chrieke/InstanceSegmentation_Sentinel2 🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis	43	Emerging	430	Jupyter Notebook
8	Osman-Geomatics93/GCN-Crop-Classification Crop classification from Sentinel-2 imagery using Graph Convolutional...	40	Emerging	6	Python
9	Agri-Hub/Space2Ground A dataset with Space (Sentinel-1/2) and Ground (street-level images)...	37	Emerging	22	Jupyter Notebook
10	langnico/GEDI-BDL This repository provides the code used to create the results presented in...	37	Emerging	71	Python
11	NASA-DEVELOP/SLaCC The Supervised Land Cover Classification (SLaCC) tool is a Google Earth...	36	Emerging	7	JavaScript
12	jgrss/cultionet Image segmentation of cultivated land	36	Emerging	31	Python
13	palubad/MMTS-GEE Google Earth Engine tool to generate multi-modal and multi-temporal...	35	Emerging	9	JavaScript
14	ecovision-uzh/BraDD-S1TS [ISPRS 23] Deforestation Detection in the Amazon with Sentinel-1 SAR Image...	35	Emerging	11	Jupyter Notebook
15	JoshuaBillson/Waterbody-Detection-Via-Deep-Learning Source code for the paper, "Water Body Extraction from Sentinel-2 Imagery...	34	Emerging	19	Python
16	Shalemrsju4092004/sentinel2-multi-class-land-cover-classification Machine learning-based crop classification using Sentinel-2 multispectral...	34	Emerging	1	JavaScript
17	rslab-ntua/cropmaps Crop type mapping solution for MAGO Project (NTUA)	33	Emerging	6	Jupyter Notebook
18	Phantom-fs/Rock-Type-Classification Code and supplementary materials for the research paper titled 'Advancing...	33	Emerging	11	Jupyter Notebook
19	iamtekson/DL-for-LULC-prediction This is the ResNet50 implementation of the Eurosat dataset.	32	Emerging	23	Jupyter Notebook
20	long123524/BsiNet-torch JAG: Delineation of agricultural fields using multi-task BsiNet from...	32	Emerging	109	Python
21	Surv-Lukmon/LC-Classification-ML Assessed the performance of Random Forest (RF) and Support Vector Machines...	31	Emerging	24	Jupyter Notebook
22	Surv-Lukmon/Crop-Classification Crop type classification with 10m spatial resolution using Random Forest...	30	Emerging	17	Jupyter Notebook
23	ClarkCGA/multi-temporal-crop-classification-baseline Baseline model for crop type segmentation as part of the HLS FM downstream...	30	Emerging	24	Python
24	LNSOTOM/fvc_composition Mapping Fractional Vegetation Cover (FVC) components by introducing a...	30	Emerging	7	Python
25	sdesena/Improve-LULC-Classification-GEE Learn how to avoid pitfalls and enhance your Land Use and Land Cover...	30	Emerging	1	JavaScript
26	nasa-nccs-hpda/above-shrubs Development of regression deep learning models for ABoVE Shrubs project	30	Emerging	1	Jupyter Notebook
27	namratadutt/LiDAR-and-Hyperspectral-Fusion-classification Landcover classification using the fusion of HSI and LiDAR data.	29	Experimental	14	Python
28	BzGEO/forest_cover_change Google Earth Engine code for forest cover change mapping based on the...	29	Experimental	5	JavaScript
29	bellasih/multimodal_supercon Multimodal SuperCon: Classifier for Drivers of Deforestation in Indonesia	28	Experimental	10	Jupyter Notebook
30	JAEarly/MIL-Land-Cover-Classification Code for the paper "Scene-to-Patch Earth Observation: Multiple Instance...	27	Experimental	14	Python
31	aj1365/DeepForest-Wetland-Paper Here are the codes for the "Deep Forest classifier for wetland mapping using...	27	Experimental	17	Jupyter Notebook
32	WangHuangHan/CanopyCarbonPrediction_GEE This project uses satellite images on Google Earth Engine to predict canopy...	27	Experimental	17	JavaScript
33	fauzan9585/LandslideDetection-GEE The comparison of Random Forest and Rule-based Landslide detection in Google...	27	Experimental	7	—
34	sdesena/above-ground-biomass-machine-learning End-to-end geospatial data science workflow for predicting Above Ground...	26	Experimental	8	Jupyter Notebook
35	pixelpawnshop/Satellite-Imagery-Land-Use-Classification Interactive web app for land use classification from Sentinel-2 satellite...	26	Experimental	3	Python
36	BEEILAB/LULC-Classification-Using-Deep-learning This repository will guide you how to use deep learning algorithms for land...	26	Experimental	10	Jupyter Notebook
37	r-wenger/land-use-land-cover-datasets List of datasets and codes for remote sensing LULC applications.	26	Experimental	54	—
38	iremozcann/Land-Cover-Prediction-Using-Machine-Learning Land Cover Prediction from Satellite Imagery Using Machine Learning Techniques	25	Experimental	11	Jupyter Notebook
39	a2415789658-coder/GCN-Crop-Classification 🌾 Classify crops using Graph Convolutional Networks for accurate pixel-level...	25	Experimental	1	Python
40	sorna-fast/eurosat-cnn-classifier Satellite Image Classification using CNN - EuroSAT Dataset Deep Learning...	24	Experimental	4	Jupyter Notebook
41	jcblsn/rainforest-segmentation A comparison of deep learning segmentation models for deforestation...	24	Experimental	5	Jupyter Notebook
42	dataforgoodfr/batch11_cartovegetation Land cover mapping automation tool using IGN aerial photographs	23	Experimental	3	C++
43	vannolimarco/classification-for-land-use-images-via-cnn Performing a classification of the land-use image provided by a Remote...	23	Experimental	14	Python
44	justinn-j-jones/Spaceborne-lidar-for-vegetation-assessment Supporting materials and notebooks for the Spaceborne Lidar for Vegetation...	22	Experimental	—	Jupyter Notebook
45	jshenaop/satellite-lulc-deep-learning Estimación de demanda de tráfico 5G en Colombia mediante clasificación de...	21	Experimental	—	—
46	ojask3150/CROP-TYPE-MAPPING-USING-SENTINEL--2-BANDS A 2 stage deep learning model that maps crop types based on Sentinel-2 data...	21	Experimental	—	Jupyter Notebook
47	Raul4fun/Masters-Thesis-GeoAI-1D-CNN 🌍 Analyze Land Use and Land Cover using deep learning and Google Earth...	20	Experimental	3	—
48	association-rosia/vesuvius-challenge Unveiling the secrets of an ancient library buried by Mount Vesuvius, this...	20	Experimental	5	Jupyter Notebook
49	balakumaran247/TN_LULC_GEE_App Google Earth Engine App - Tamil Nadu LandUse LandCover classification -...	19	Experimental	14	—
50	AlvaroVasquezAI/Satellite_Image_Classification Satellite image classification using a custom Convolutional Neural Network...	19	Experimental	1	Jupyter Notebook
51	akhilchibber/Timeseries-Crop-Segmentation Deep Learning Crop Mapping using Sentinel-2 Time Series Imagery	18	Experimental	2	Jupyter Notebook
52	ashishmtu/NEON-GEDI Aboveground Biomass Density Estimation Using Deep Learning: Insight from...	18	Experimental	2	—
53	kamalesh003/Land_Cover_Classification_Using_Satellite_Imagery This project uses satellite imagery to classify different land cover types...	17	Experimental	—	Jupyter Notebook
54	filipe-braiman/cnn-vs-cnnvit-eurosat A reproducible cross‑framework study comparing CNN and CNN‑ViT hybrid...	14	Experimental	1	Jupyter Notebook
55	LEUrso/MSc_ThesisScripts JavaScript programs for Google Earth Engine developed during Luke Urso's...	13	Experimental	—	JavaScript
56	mapbiomas/brazil-coastal-zone This repository contains the workflows and methodologies used to map land...	13	Experimental	—	JavaScript
57	mapbiomas/brazil-aquaculture Methodology description of the Mapbiomas' aquaculture detection target	13	Experimental	—	Jupyter Notebook
58	RoryThomas16/Scheduled-Monument-Detector Use OWS and Google Earth Engine to access image/map data to be able to...	11	Experimental	2	Jupyter Notebook
59	REDDYNEERAJ/Land-Classifier_using-ML-NN Trained a deep learning-based system using high-resolution Sentinel-2...	11	Experimental	—	CSS
60	SubhangiSati/Land-Use-Land-Cover-Classification This project focuses on land use and land cover classification using...	11	Experimental	3	Python
61	Kolo-Naukowe-Data-Science-PW/EuroSat-Classification Geosatelite classification of different area types	11	Experimental	—	—
62	imildositoe/mastering_google_earth_engine Image classification in the LANDSAT and SENTINEL satellites images with...	10	Experimental	2	JavaScript
63	ibtissem-hamani/Measuring-class-separability-APP This APP is necessary to evaluate the quality of the class representative...	10	Experimental	2	JavaScript
64	kv-95/LULC-Classification Land Use and Land Cover classification is one of the well known areas of...	10	Experimental	2	PureBasic

Comparisons in this category

EuroCrops and eurocropsml (53 vs 52)