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followers: 6.0 following: 15.0 repos: 30.0 gists: 8.0

Name: Fernando Tentor

Type: User

Bio: Python & AWS Cloud. Backend Python Data Science. Remote sensing. G.I.S. Satellites Imagery, Geo-Information

Twitter: FerTent

Location: Argentina

Blog: https://www.linkedin.com/in/fernando-tentor-99807852/

Hi there 👋

🔭 I’m currently working on ...
Geoinformation & Remote Sensing 🛰️
Python developer 🐍
Amazon Web Services Cloud 🌩️ (AWS)

Python

Streamlit, Flask, API REST, graphQL.
Virtual env. , Pip. JupyterLab.
Numpy, Pandas, Shapely, Geopandas, Rasterio, Rio-tiler, Pillow, PyTorch, GeeMap, Scipy, scikit-learn, scikit-image, Folium, boto3, psycopg2, mercantile, requests, pySTACK, and so on.....

AWS

SageMaker
AWS Lambda Functions (Python3, Node.js).
RDS (Postgis)
S3
DynamoDB
Serverless Application Model(AWS SAM).
SQS, SNS
API Gateway.
Docker, ECR, ECS, Fargate.
IAM, CloudWatch.

Others

DOCKER
GDAL
GEOSERVER
Github
JIRA
Microservices
Google Earth Engine (Python & Node.js)
Qgis, ArcGis, SNAP, GRASS, SAGA, Agisoft Photoscan, AutoCAD.

Remote Sensing

Sentinel 2, Landsat(5-9), Sentinel 1 (SAR), Planet Scope, CBERS , MODIS, SAOCOM (SAR) , Sentinel 3, etc...

Projects

GlobalVis: Scalable satellite images server. I built and currently maintain a system to deliver Satellite images (Sentinel 2, Landsat 8 & Landsat 9 ) using AWS Lambda Function and AWS API Gateway.
VectorTile Server: Scalable vector tile server. I build and currently maintain a system to serve Vector layers (in a Vectortile format), using AWS Fargate, AWS ApiGateWay & AWS SWF.
Thumbnails generator: Scalable serverless thumbnails generator (from satellite images) using AWS ApiGateway & AWS Lambda Function (Proxy integration)
Reports: Charts and Graphics serverless generator based on information from Satellite images, using AWS Lambda Function, AWS ApiGateway & AWS Simple Workflow Feature.
Dashboards: Serverless Dashboard service (Data Analysis) using Python Dash – Plottly, AWS Fargate & AWS SWF.

Stats

Fernando Tentor's Projects

aquacrop

AquaCrop-OSPy: Python implementation of AquaCrop-OS

cheginit

docker

GeoServer docker image

downstream_path

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

earthengine-py-notebooks

A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

earthengine_scripts

scripts and snippets for Google Earth Engine

ee-jupyter-examples

Example Jupyter Notebooks, including ones that use the Earth Engine Python API

fernigithub

Profile

fetch_sheet

folium

Python Data. Leaflet.js Maps.

folium_contrib

User contributed examples

geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

geospatial-modeling-course-jupyter

tmpnb runtime and Jupyter Notebooks for NCSU Geospatial Modeling and Analysis course

metrics

📊 An infographics generator with 30+ plugins and 200+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

notebooks

interactive notebooks from Planet Engineering

openearthenginelibrary

otbn

phenofit

A state-of-the-art Vegetation Phenology extraction package: phenofit

pml

Penman-Monteith-Leuning Evapotranspiration in GEE

robmarkcole

satell

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

segmentation

series_temporales_101

Maestria en Geomatica Aplicada - FCyT - UADER

streamlit

Streamlit — The fastest way to build data apps in Python

streamlit-agent

Reference implementations of several LangChain agents as Streamlit apps

streamlit-geospatial

A multi-page streamlit app for geospatial

timeseriesanalysiswithpython

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai