Satellite_Imagery_Analysis and DL-for-satellite-image-analysis

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 21/25
Stars: 268
Forks: 127
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Stars: 102
Forks: 34
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Satellite_Imagery_Analysis

syamkakarla98/Satellite_Imagery_Analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

This project helps environmental scientists, urban planners, or agricultural managers extract meaningful information from satellite images. By analyzing these images, you can identify patterns and changes on Earth's surface, turning raw satellite data into actionable insights about land use, crop health, or urban growth.

remote-sensing environmental-monitoring urban-planning agriculture-monitoring geospatial-analysis

About DL-for-satellite-image-analysis

gicait/DL-for-satellite-image-analysis

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).

This collection of tutorials helps geospatial analysts and remote sensing specialists learn how to apply deep learning to satellite imagery. It takes satellite images and other geospatial data as input, guiding you through the process to produce maps for building identification and land cover classification. The examples are designed for individuals who work with satellite data and want to enhance their image analysis capabilities using advanced machine learning techniques.

remote-sensing geospatial-analysis satellite-image-processing land-cover-mapping urban-planning

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