Stars
Package with new tools to support FIELDimageR software on evaluating GIS images from agriculture field trials.
TATHU is a Python package for tracking and analyzing the life cycle of convective systems.
A massively parallel, high-level programming language
SpatioTemporal Asset Catalog specification - making geospatial assets openly searchable and crawlable
Python Client API for Web Crop Phenology Metrics Service
Easy access to official spatial data sets of Brazil in R and Python
Geolocalização de Endereços Brasileiros (Geocoding Brazilian Addresses)
STUMPY is a powerful and scalable Python library for modern time series analysis
Tooling for creating maps with matplotlib
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
pmv-ads-2023-1-e1-proj-web-t15-time3-CineGuide created by GitHub Classroom
Photogrammetry Guide. Photogrammetry is widely used for Aerial surveying, Agriculture, Architecture, 3D Games, Robotics, Archaeology, Construction, Emergency management, and Medical.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
A geospatial raster processing library for machine learning
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…
Quase um livro, quase um tutorial, quase qualquer coisa
Repositório das lives de python semanais
Sample datacards, shapefiles, and other files you can use for testing
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
🛁 Clean Code concepts adapted for Python
Various examples for Google Earth Engine in Python using Jupyter Notebook
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
A series of Jupyter notebook to learn Google Earth Engine with Python
Atmospheric correction of a (single) Sentinel 2 image
This is Andrew NG Coursera Handwritten Notes.
Data science interview questions and answers