Landcover classification of satelite images
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Updated
Mar 28, 2021 - Jupyter Notebook
Landcover classification of satelite images
Python library/CLI client for sat4envi data
Based on infrared satellite images, the existence of a methane plume was predicted. Transfer Learning for PyTorch Classification CNNs was combined with traditional methods on tabular data. This is a fork of a group project of my DSB Master's Degree at HEC Paris in cooperation with McKinsey QuantumBlack. (mckinsey.com/capabilities/quantumblack/)
Image classification in the LANDSAT and SENTINEL satellites images with Google Earth Engine
This is a project of the course "Design Project" for the Computer Engineering career
This Project is Semantic Segmentation of High-Resolution Multi-Spectral Optical Satellite Images: A Deep Learning-based Approach for Monitoring Deforestation
Analysis of Satelite imaging.
Using python3 beautifulsoup, download satelite-images.
Road Segmentation from Satelite images using custom Unet model
IMAGE CLASSIFICATION w/ hybrid classification algorithms
Python library/CLI client for sat4envi data
This repository consolidate various analysis on EarthDaily Agro services and conference contributions.
Multiband spectro-radiometric satellite image analysis with K-means cluster algorithm
Use this repository as a baseline to Build Your Own Analytic based on metrics and imagery data following your business logic.
A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.
Guia para el acceder a OTHERNET e instalar un punto de acceso wifi local para disponer de un repositorio de datos metereológicos, noticias, Wikipedia, mensajes y archivos procedentes de un enlace de datos con un satélite geoestacionario.
MSc thesis - University of Twente.
An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)
A python Tkinter widget to display tile based maps like OpenStreetMap or Google Satellite Images.
Add a description, image, and links to the satelite-images topic page so that developers can more easily learn about it.
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