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GeoPython Conference
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Добавлен 11 ноя 2018
This is the official RUclips channel of GeoPython conference.
GeoPython 2020: Using Google Earth Engine Python API, Achmad Fauzi Bagus FIrmansyah
Using Google Earth Engine Python API and XGBoost for Built-up classification
Performing built-up classification using Google Earth Engine python API (for data collection) and XGBoost for classifiers
Performing built-up classification using Google Earth Engine python API (for data collection) and XGBoost for classifiers
Просмотров: 467
Видео
GeoPython 2020: Analyzing COVID-19 using Python and remote sensing images, Josep Sitjar
Просмотров 1693 года назад
GeoPython 2020: Analyzing COVID-19 using Python and remote sensing images, Josep Sitjar
GeoPython 2020: Applied ML in Python using scikit-learn, mlxtend and pandas, Ashita Prasad
Просмотров 2913 года назад
Workshop: Applied Machine Learning in Python using scikit-learn, mlxtend and pandas The eternal question which haunts every aspiring data scientist is - Where should I begin? Is traditional machine learning still relevant in this era to solve business problems? In this tutorial we will address these questions and take a deep dive into applying some of the most widely used traditional machine le...
GeoPython 2020: Analysis of burnt scar using optical and radar satellite data, Stella Mutai
Просмотров 1163 года назад
Analysis of burnt scar using optical and radar satellite data To analyze the use of satellite SAR data and its comparison to optical imagery for identification and classification of burnt and unburnt patches after a forest fire.
GeoPython 2020: XYZ, a now Python-friendly geospatial data management service, Dinu Gherman
Просмотров 9163 года назад
This talk presents an Open Source, cloud-based, real-time geospatial data management system named XYZ that has recently received a native Python interface developed by the author which aims to make it more attractive to data scientists and analysts.
GeoPython 2020: Vision Computer with FME ETL,
Просмотров 1213 года назад
Demonstrates how use the Software FME ETL for vision computer
GeoPython 2020: Gaps in the Grid, Max Gardner
Просмотров 623 года назад
Gaps in the Grid: The Promises, Pitfalls, and Resurgence of Discrete Global Grids in Modern Geospatial Analysis This talk aims to provide an historical context for the renewed interest in Discrete Global Grids (DGGs) by exploring what they do well and what they don't. In particular, we'll take a Python-centric look at what happens when we need to assimilate gridded data with data reported at th...
GeoPython 2020: Building smarter solutions with no expertise in machine learning, Laurent Picard
Просмотров 743 года назад
Building smarter solutions with no expertise in machine learning ML? API? AutoML? Python is the language of choice to solve problems with machine learning, but what can you build in only a few hours? In only a few days? Without any expertise?
GeoPython 2020: Detecting and Analyzing Solar Panels in Switzerland, Adrian Meyer
Просмотров 2 тыс.3 года назад
Detecting and Analyzing Solar Panels in Switzerland using Aerial Imagery A novel method for detecting solar panels and its geometry on aerial imagery is presented. Deep Learning with PyTorch is being used for segmentation. The goal is to know the exact locations, dimensions and potential of every solar installation in Switzerland.
GeoPython 2020: Spatial Data Analysis on Bolivia's 2019 election data, César Ariel Pérez Mercado
Просмотров 1103 года назад
Performing Exploratory Spatial Data Analysis on Bolivia's 2019 election data This analysis will try to get further insight on Bolivia's 2019 polemic results by applying standard ESDA methods with Python's Pysal library. To our knowledge, it would be the first work on this topic focusing on the geospatial dimension of the data
GeoPython 2020: pygeoapi: an OSGeo community project, Just van den Broecke, Francesco Bartoli
Просмотров 4643 года назад
pygeoapi is an OGC Reference Implementation compliant with the OGC API - Features specification. pygeoapi supports many other OGC APIs via the Flask web framework and a fully integrated OpenAPI (REST) structure.
GeoPython 2020: End-to-end processing of satellite imagery data with Python, Shivashis Padhi
Просмотров 9 тыс.3 года назад
GeoPython 2020: End-to-end processing of satellite imagery data with Python, Shivashis Padhi
GeoPython 2020: ESA's BIOMASS Multi-Mission Analysis and Algorithm Platform, Stefanie Lumnitz
Просмотров 3173 года назад
Creating open collaboration in the cloud with ESA's BIOMASS Multi-Mission Analysis and Algorithm Platform (MAAP) The goal of the Multi-Mission Algorithm and Analysis Platform of the European Space Agency (ESA-MAAP) is to bring together mission data with hosted processing and collaborative tools. In this talk I will show how we use the Open Source Scientific Python stack to design the platform a...
GeoPython 2020: Deep Learning for automating fish age from otolith images, Dimitris Politikos
Просмотров 1163 года назад
Deep Learning for automating fish age from otolith images In this work, we investigate the ability of modern computer to provide an automatic extraction of fish age from otolith images. The dataset used in this work is provided from the database of the Hellenic Center of Marine Research (HCMR) and includes a large collection of 5027 otolith images and measurements of length for red mullus fish ...
GeoPython 2020: Scalable Geospatial Data Science with Python and OS Projects, Nikolai Janakiev
Просмотров 1373 года назад
GeoPython 2020: Scalable Geospatial Data Science with Python and OS Projects, Nikolai Janakiev
GeoPython 2020: 3D Ground Modelling in the Civil Engineering Industry, Michael Turner
Просмотров 6223 года назад
GeoPython 2020: 3D Ground Modelling in the Civil Engineering Industry, Michael Turner
PyCon HK 2020: Geospatial Data Processing using Python
Просмотров 3484 года назад
PyCon HK 2020: Geospatial Data Processing using Python
Excellent explanation 🎉❤
Thank you the video is great
thankyou so much for the talk
it seem to be nice content but what poblem with audio
17:23 Machine Learning for Land Use/Landcover Statistics of Switzerland (Adrian Meyer) 50:58 How to structure geodata 1:18:13 Terrain segmentation with label bootstrapping for lidar datasets, case of doline detection (Rok Mihevc) 2:34:41 Bias in machine learning 3:06:23 Software for planning research aircraft missions (Reimar Bauer) 3:32:38 How Technology Moves Fast (PJ Hagerty) 5:02:05 Spotting Sharks with the TensorFlow Object Detection API (Andrew Carter) 5:40:23 Center for Open Source Data and AI Technologies (CODAIT) 6:03:40 Bayesian modeling with spatial data using PyMC3 (Shreya Khurana) (Sound at 6:04:23 ^^) 7:02:45 Understanding and Implementing Generative Adversarial Networks(GANs) (Anmol Krishan Sachdeva) 7:37:00 Messaging with Satellites from Anywhere on the Planet (Andrew Carter) 8:04:52 Automation of the definition and optimizatino of census sampling areas using AREA (GRID3) (Freja Hunt) 8:35:26 Coastline Mapping with Python, Satellite Imagery and Computer Vision (Rachel Keay) The rest is just empty.