rodreras

rodreras's Stars

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8k266231.4k

• fudan-zvg/Semantic-Segment-Anything

  Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).

  Language:Python2k1955130

• weecology/DeepForest

  Python Package for Airborne RGB machine learning

  Language:Python46217395169

• aliaksandr960/segment-anything-eo

  Earth observation tools for Meta AI Segment Anything

  Language:Jupyter Notebook3929739

• opengeos/segment-anything

  An unofficial Python package for Meta AI's Segment Anything Model

  Language:Jupyter Notebook2035016

• jgrss/geowombat

  GeoWombat: Utilities for geospatial data

  Language:Jupyter Notebook18159210

• awesome-spectral-indices/spyndex

  Awesome Spectral Indices in Python.

  Language:Python17872319

• juliohm/awesome-brazil-data

  Curated list of Brazilian datasets for anyone interested in studying the country.

  16912113

• ESDS-Leipzig/cubo

  On-Demand Earth System Data Cubes (ESDCs) in Python

  Language:Python1565128

• oprogramador/most-common-words-by-language

  List of the most common words in many languages

  Language:JavaScript1523427

• RichardScottOZ/mineral-exploration-machine-learning

  List of resources for mineral exploration and machine learning, generally with useful code and examples.

  14410027

• kleok/FLOODPY

  Flood Python Toolbox

  Language:Jupyter Notebook13773023

• ytarazona/scikit-eo

  A Python package for Remote Sensing Data Analysis

  Language:Python1054013

• DIG-Kaust/MLgeoscience

  Teaching material for ML in Geoscience course

  Language:Jupyter Notebook771031

• seg/tutorials-2015

  Geophysical Tutorials for 2015

  Language:Jupyter Notebook559144

• Nowosad/OGH_summer_school_2023

  Links and slides from the OpenGeoHub summer school 2023

  39305

• UN-SPIDER/radar-based-flood-mapping

  This repository contains a Jupyter Notebook for automatic flood extent mapping using space-based information.

  Language:Jupyter Notebook354012

• viktor-platform/sample-travelling-salesman

  Language:Python28104

• waleedgeo/lulc_py

  A framework for land-use classification using open sourced python based geospatial modules.

  Language:Jupyter Notebook16116

• candepelliza/OBIA_Python

  Language:Jupyter Notebook102

• pvabreu7/DashGeochemicalProspection

  Simple web-application of classification of stream sediments utilizing K-means Clustering, Plotly and Geopandas.

  Language:Python10203

• abhaykes1/Road-Network-Extraction

  The Rapid Method for Road Extraction from High-Resolution Satellite Images.

  Language:Python8301

• kadyb/OGH2023_hack

  Hackathon "Automatic land cover mapping" at OpenGeoHub Summer School 2023

  Language:Jupyter Notebook4201

• Arpeggeo/UFMG2023

  Minicurso de geociência de dados na mineração @ UFMG 2023

  Language:Julia30

• ayportella/projects_machine_learning

  Language:Jupyter Notebook3

• laym0ura/projeto_final_tera

  Language:Jupyter Notebook30

• ThomasMGeo/leapfrogmshreader

  A simple reader of leapfrog mesh files, without onerous installation requirements.

  Language:Python3201

• fkroeber/obia_tutorials

  A small collection of scripts on how to perform OBIA with open source software

  Language:Jupyter Notebook23

• lukesdm/la-palma-lava-mapping-nb

  La Palma Lava Mapping - notebook project

  Language:Jupyter Notebook21

• davidbispo/siagas_cprm_extract

  Ferramenta em Beautifulsoup para webscraping do Sistema de Informações sobre Águas subterrâneas(SIAGAS)

  Language:Python10