Name: Iyasu G. Eibedingil
Type: User
Company: University of Texas at El Paso
Bio: High-level skill and strong research interest working with pixels, grids, matrices, and images at micro and macro level through diverse statistical approaches.
Location: El Paso
Blog: https://www.utep.edu/
Iyasu G. Eibedingil's Projects
Documentation and samples for ArcGIS API for Python
Community Datasets added by users and made available for use at large
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
This repository contains the Python code for the UN-SPIDER Recommended Practice on Burn Severity Mapping.
Python wrappers for accessing Forest Observatory data via the Salo API
A QGIS plugin which aids the assessment of classification accuracy derived from earth observation data
This repository hosts Jupyter notebook tutorials on the Copernicus Climate Change (C3S) and Atmosphere Monitoring (CAMS) Services.
Repo for Creating Dashboard Configuration Management Tracking
Plants dashboard made using Dash
Installation support for Deep Learning Frameworks for the ArcGIS System
Python and JavaScript bindings for calling the Earth Engine API.
#Python #RemoteSensing #NOAA #Amazon_AWS_S3 #BigDataAnalytics #CaliforniaWildfires #AirQuality
#FloodMapping #Google_Colab #GoogleEarthEnginePythonAPI #Sentinel_1 #SAR
#Hydrology #Python #Google_Colab #GLDAS_Model # NASA_ARSET
Web Programming with Python and JavaScript
Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.
Interactive Tools for Machine Learning, Deep Learning and Math
Python, Big Data Analytics, Air Quality, U.S. Environmental Protection Agency (EPA)
Provides a new artist for matplotlib to display a scale bar, aka micron bar.
Acquisition of National Oceanic and Atmospheric Administration's (NOAA's) GOES-16 (East) ABI aerosol optical depth (AOD) images from Amazon S3 cloud platform , and processing and mapping of images in Python notebook.
Play with neural networks!
Python library for working with any SpatioTemporal Asset Catalog (STAC)
All Algorithms implemented in Python
A collection of Python packages for geospatial analysis with binder-ready notebook examples