Python library/CLI client for sat4envi data
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Updated
Sep 13, 2021 - Python
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/)
This is a project of the course "Design Project" for the Computer Engineering career
Analysis of Satelite imaging.
Landcover classification of satelite images
Python library/CLI client for sat4envi data
This repository consolidate various analysis on EarthDaily Agro services and conference contributions.
Image classification in the LANDSAT and SENTINEL satellites images with Google Earth Engine
Use this repository as a baseline to Build Your Own Analytic based on metrics and imagery data following your business logic.
This Project is Semantic Segmentation of High-Resolution Multi-Spectral Optical Satellite Images: A Deep Learning-based Approach for Monitoring Deforestation
Using python3 beautifulsoup, download satelite-images.
IMAGE CLASSIFICATION w/ hybrid classification algorithms
Road Segmentation from Satelite images using custom Unet model
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.
Multiband spectro-radiometric satellite image analysis with K-means cluster algorithm
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.
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.
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