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Search results for jupyter notebook satellite
jupyter-notebook
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satellite
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118 search results found
Gr Satellites
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715
GNU Radio decoder for Amateur satellites
Coastsat
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592
Global shoreline mapping tool from satellite imagery
Terrapattern
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517
Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.
Ternausnetv2
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500
TernausNetV2: Fully Convolutional Network for Instance Segmentation
Predicting Poverty
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325
Combining satellite imagery and machine learning to predict poverty
Pythonfromspace
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298
Python Examples for Remote Sensing
Miniradiotelescope
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211
Arduino and python code for a mini-radio telescope.
Geowombat
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154
GeoWombat: Utilities for geospatial data
Orbitdeterminator
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141
determination of satellite orbits and more
Spacenet_building_detection
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140
Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.
Cresi
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133
Road network extraction from satellite imagery, with speed and travel time estimates
Satellite_imagery_python
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126
Sample sample scripts and notebooks on processing satellite imagery
Breizhcrops
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123
A Satellite Time Series Dataset for Crop Type Identification
Dstl_unet
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107
Dstl Satellite Imagery Feature Detection
Satimg
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103
Satellite data processing experiments
Eo Jobs
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83
🛰️ List of earth observation companies and job sites
Africa_poverty
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69
Urban Environments
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63
Code for constructing the urban environments dataset and for land use classification via convolutional neural networks
Pytroll Examples
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63
Collection of examples for pytroll satellite data processing
Ph Poverty Mapping
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60
Mapping Philippine Poverty using Machine Learning, Satellite Imagery, and Crowd-sourced Geospatial Information
Laika
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58
Experiments with satellite image data
Planet Amazon Deforestation
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56
Water Observatory Backend
⭐
55
Monitoring water levels of lakes and reservoirs using satellite imagery
An Unexpectedly Large Count Of Trees In The Western Sahara And Sahel
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54
This repository contains the code for the paper "An unexpectedly large count of trees in the western Sahara and Sahel".
Deepsentinel
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51
Deep learning pretrained model on satellite imagery (Sentinel-2)
U Net Satellite
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51
Road Detection from satellite images using U-Net.
Ml_objectdetection_cafo
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48
Repository containing model development, training, and execution for the CAFO satellite imagery detection process.
Deep Learning For Satellite Imagery
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48
Deep learning courses and projects
Amber Methodology
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44
How to use machine learning to find interesting places on satellite maps
Rs Net
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44
RS-Net is a cloud detection algorithm for satellite imagery
Satellite Imagery Analysis With Python
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34
Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.
Pybay2017
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34
Python Tools for processing Space Imagery
Sentinelloader
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34
Sentinel-2 satellite tiles images downloader from Copernicus. Minimizes data download and combines multiple tiles to return a single area of interest.
Banet
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34
A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images
Predict_pv_yield
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33
Using optical flow & machine learning to predict PV yield
Sdb_gui
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32
Python based GUI for Satellite Derived Bathymetry processing
Road Segmentation
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31
Satellite image segmentation (extraction of roads from satellite images) through convolutional neural networks (CNNs).
Coastsat.slope
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31
Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
Forest Fires
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30
A Model for the Early-Detection of Forest-Fires
Poverty Prediction By Satellite Imagery
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28
Poverty Prediction by Combination of Satellite Imagery
Geoai Immap
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27
Mapping Informal Settlements in Colombia using Machine Learning
Rul And Soh Estimation Of Lithium Ion Satellite Power Systems Using Support Vector Regression
⭐
25
Pipeline to identify remaining useful life of Li-ion batteries using SVR to forecast end of life.
Kaggle Satellite Imagery Feature Detection
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24
Satellite Imagery Feature Detection (68 out of 419)
Ap Latam
⭐
23
Detection of slums and informal settlements from satellite imagery
Pywren Workshops
⭐
23
Various workshop labs that make use of pywren to massively process data in parallel with AWS Lambda
Autobfe
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22
Ordia
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22
Wikidata lexemes presentations
Counting Trees Using Satellite Images
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22
This study investigates the aspect of localizing and counting trees using satellite images to create an inventory of incoming and outgoing trees for an annual tree inspections.
Droughtwatch
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21
Weights & Biases benchmark for drought prediction
Deep Neural Network With Keras Python Satellite Image Classification
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20
Deep Neural Network with keras(TensorFlow GPU backend) Python: Satellite-Image Classification
Propertyclassification
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20
Classifying the type of property given Real Estate, satellite and Street view Images
Crop Classification
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19
crop classification using deep learning on satellite images
Coastsat.islands
⭐
18
Satellite-derived shorelines and 2D planform measurements for islands, extension of the CoastSat toolbox.
Cysgp4
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17
A wrapper around the SGP4 package, for sat TLE calculations
Satellite Crosswalk Classification
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16
Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification
Ai Challenge Trees
⭐
15
Official repository for the "Identifying trees on satellite images" challenge from Omdena <> Ciencia & Datos
Batch7_satellite_ges
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14
Satellite_segmentation
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13
pytorch,unet,aerial image,segnet,pspnet,satellite,segmentaion
Cubesats
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12
Additional materials to "Design of cooperative communication system based on CubeSat satellites" (master thesis) .
Spaceapps Phenomena_detection
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12
Radwave
⭐
12
A Python interface to perform wave analysis from satellite altimeter data
Cloud Removal In Satellite Images Using Conditional Generative Adversarial Networks
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11
Removing cloud cover in Sentinel-2 satellite images using only optical data and a novel augmented training approach using conditional GANs.
Nighttime_light_intensity_analytics
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11
1. Examining and comparing changes in nighttime illumination, as captured on satellite images, and generating predictions of changes in a country's GDP from that information., 2. Combining nighttime satellite imagery with land use survey
Gonzag
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11
Interpolation of gridded 2D ocean/atmosphere GCM data onto 1D satellite tracks + spectral analysis
Climate
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11
Data and analysis of global warming
Tutorial_viirs_part2
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11
How to use the VIIRS satellite data for night time lights.
Tatssi
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11
Tools for Analyzing Time Series of Satellite Imagery
Satellite_leak_detection
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11
Detect water leaks from satellite images using machine learning
Object Detection In Satellite Imagery Using Yolov3
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11
YOLOv3 - Neural Networks for Object Detection in satellite Imagery.
Satsense
⭐
10
Satsense is a Python library for land use/cover classification using satellite imagery
Aedesproject
⭐
10
Advanced Early Dengue Prediction and Exploration Service
Visual Localization With Spatial Prior
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10
Kaggle Dstl
⭐
9
Kaggle Competition Dstl Satellite Imagery Feature Detection
Damagedetection
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9
Probav
⭐
9
Super-resolution enhancement of PROBA-V satellite images
Mars_express__esn
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9
Tackling ESA's Mars Express Power Challenge with Echo State Networks
Water Based Indices On Sentinel 2a Images Using Python
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9
Satellite Image Processing, Feature Extraction using Python on level 2A Sentinel 2 satellite imagery to enhance water bodies.
Public Dkhq_globalwitness
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9
Detecting Mines in the Democratic Republic of Congo via Satellite Imagery
Deep Cnn Sat Image Time Series
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8
Deep CNN and RNN for Satellite Image Time Series
Python_class
⭐
8
This repository contains all the scripts used for the python class for JRFs at IITM
Mlprojects
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8
Some of my ML projects and Kaggle competitions
Thesis_capsulenetwork_satelliteimage
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8
Application of Capsule Network for land cover classification in satellite images
Aerial Imagery
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8
Data Science Research Project: Map poverty using satellite images.
Ukrainianagriculture
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8
Submission for the Queen's International Innovation Challenge
Roadsegmentation
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7
Segmenting satellite images of earth : determining which parts are roads.
Alouetteapp
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7
🛰️ Cette application permet aux utilisateurs de filtrer les ionogrammes du satellite Alouette et télécharger les données extraites ou les images des ionogrammes | 🛰️ This application allows users to filter ionograms from the Alouette satellite and download either the selected ionograms’ extracted features or the ionogram images themselves.
Satellite Imagery Analysis Of Vegetation In Southern Pakistan
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7
This repository contains a study how we can examine the vegetation cover of a region with the help of satellite data. The notebook in this repository aims to familiarise with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.
Understanding Forest From Space
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7
Label satellite images from the Amazon basin, in order to better track and understand causes of deforestation.
Satellite Image Segmentation
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7
My final project for the Metis Data Science Bootcamp, satellite image segmentation, in partnership with Digital Globe.
Deepway
⭐
7
Official TensorFlow code for the paper "DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation".
Looking Glass Pub
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7
Building segmentation in satellite images based on DeeplabV3+
Detecting Ships
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7
Using Satellite Imagery to detect ships (Basic Object Detection)
A Machine Learning Approach For Monitoring Brazilian Optical Water Types Using Sentinel 2 Msi
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7
2017summer_duke
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6
Deep learning based semantic segmentation on satellite images
Sdav
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6
Satellite Data Analysis and Visualization web server
Examples And Showcases
⭐
6
Integration examples and showcase of <geosys/>platform capabilities.
Machinelearning
⭐
6
A collection of Jupyter notebooks and a Python library for Machine Learning projects.
Weather4cast 2022
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6
Team "team-name" solution for Weather4cast Challenge
Gpm
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6
Dea Waterbodies
⭐
6
DEA Waterbodies is a product that maps and monitors open waterbodies across Australia. Once a polygon set has been generated corresponding to open waterbodies, each waterbody is tracked over time to record the change in wet surface area over time.
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