Скачать или смотреть Build LULC Maps Using 1D CNN | Sentinel-2 + GEE Tutorial

In this tutorial, you’ll learn how to generate a Land Use Land Cover (LULC) map using a 1D Convolutional Neural Network (CNN) powered by Sentinel-2 satellite imagery and Google Earth Engine (GEE).

We start by preparing a Sentinel-2 time-series dataset in Google Earth Engine, exporting it for machine learning, and then training a 1D CNN model in Python to classify land cover types efficiently. This workflow is especially useful for time-series–based remote sensing classification, where spectral patterns over time matter more than spatial texture.

🔍 What you’ll learn:
Sentinel-2 data preprocessing in Google Earth Engine
Creating ML-ready datasets from GEE
Understanding why 1D CNN works well for time-series remote sensing
Training and evaluating a LULC classification model in Python
Generating a final LULC map from Sentinel-2 data

📌 Tutorial Code & Resources:
GEE Dataset Preparation:
https://github.com/iamtekson/earth-ob...
1D CNN LULC Classification Notebook:
https://github.com/iamtekson/earth-ob...

If you’re working on AI for Earth Observation, remote sensing classification, or deep learning with satellite data, this tutorial will give you a practical, end-to-end workflow.

👉 Don’t forget to like, subscribe, and share if you find this useful!
📺 More geospatial tutorials:    / @geodev  

Tutorial code: https://github.com/iamtekson/earth-ob...


Join this channel to get access to the perks:
   / @geodev  

Timestamps:
0:00 Intro
1:08 Input dataset
1:37 Training/Testing dataset preparation
10:03 Train 1D CNN model
23:42 Prediction and Accuracy Assessment
30:12 Visualize output in QGIS

#1dcnn #lulc #googleearthengine
--------------------------------------------------------------------------------------------------------------
Check out my discounted courses at the following link:
--------------------------------------------------------------------------------------------------------------
1. "Geospatial data analysis with python": https://www.udemy.com/course/geospati...
2. "Web GIS Development 2021": https://www.udemy.com/course/web-gis-...
3. "Web mapping and Web-GIS from Dev to Deploy 2021: GeoDjango": https://www.udemy.com/course/web-mapp...
4. "Introduction to Web Mapping and Web GIS 2020: GeoDjango": https://www.udemy.com/course/introduc...
5. Deep Learning Application for Earth Observation: https://www.udemy.com/course/deep-lea...
6. Geospatial Data Analysis with Python: https://www.udemy.com/course/geospati...

---------------------------------------------------------------------------------------------------
Follow me on GitHub: https://github.com/iamtekson
Follow me on Twitter:   / iamtekson  
Follow me on Instagram:   / iamtekson  
Join Facebook group:   / 1049524025731229  
-----------------------------------------------------------------------------------------------------