rudineyspereira Goto Github PK

followers: 5.0 following: 16.0 repos: 60.0 gists: 0.0

Name: Rudiney Soares Pereira

Type: User

Company: Federal University of Santa Maria

Bio: Forest Engineer from the Federal University of Santa Maria, Brazil and PhD in Forestry Engineering from the Federal University of Paraná, Brazil.

Twitter: rudineyspereira

Location: Santa Maria, Rio Grande do Sul State, Brazil

Blog: http://www.ufsm.br/labsere

Rudiney Soares Pereira, Dr. Forest Engineer

Rudiney Soares Pereira is professor in the Department of Rural Engineering at the Federal University of Santa Maria, Rio Grande do Sul, Brazil. In addition, he supervises at Master's and Doctorate levels with the Postgraduate Program in Forestry Engineering at the Federal University of Santa Maria. He holds a PhD in Forestry Engineering from the Federal University of Paraná, Paraná, Brazil. He is dedicated to research in Remote Sensing, Geoprocessing and Data Science using Artificial Intelligence with an emphasis on simulation and prediction of Land Use and Land Cover scenarios with intensive use of data from artificial satellite images, database developing and using software opensource.

Hello 👋

🔭 I am currently working with Artificial Intelligence to model Earth Use and Cover scenarios using Machine Learning and Deep Learning with geospatial data originating from Remote Sensing satellites.
🌱 I am currently developing open codes in the programming languages Python, Julia, Rust and R for processing and analyzing large volumes of data.
👯 I seek to collaborate in Open Source projects with the aim of qualifying professional activities in my area of expertise and disseminating new technologies that have an impact on society.
🤔 I'm looking for interactions with collaborative researchers from different regions of the world.
💬 Ask me about how we can establish mutual collaboration.
📫 How to contact me: [email protected].

Rudiney Soares Pereira's Projects

aulas-youtube

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-georust

A curated list of awesome geospatial software, libraries, tools and resources, written in Rust

base_dados_geo

Repositório de dados geoespaciais obtidos de fontes oficiais do Brasil e Exterior.

base_dados_geo-arquivos_zip

base_dados_geo-biomas

base_dados_geo-br_und_federacao

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

chatgpt_sake

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cor-inpe

Python e Machine Learning para caracterização de cores com Imagem LANDSAT 8 - Autoria Marcelo Claro Laranjeirado o qual você pode obter automaticamente o nome do clique em neles. Então, para isso, teremos um arquivo de dados que contém o nome dos seus valores. Então vamoscalcular a distância de cada cor e encontrar a mais curta

crewai

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

curso-js

Arquivos criados no meu curso de Javascript.

custom-scripts-sentinel-hub

A repository of custom scripts to be used with Sentinel Hub

earthengine

earthengine-community

Tutorials and content created by Earth Engine users, for Earth Engine users

earthengine-py-notebooks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

earthengineegr1052

flower-classification-web-app-streamlit

A deep learning web app , made using streamlit. Web app can deployed straight from Google collab

geopandas

Python tools for geographic data

giswqs

google-earth-engine-javascript-examples

Various examples for Google Earth Engine in Javascript

hyperspectral_image_analysis_simplified

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.