aldotapia

aldotapia's Stars

• rasbt/mlxtend

  A library of extension and helper modules for Python's data analysis and machine learning libraries.

  Language:Python4.9k875

• ropensci/rsat

  Dealing with Multiplatform Satellite Images from Landsat, MODIS, and Sentinel

  Language:R534

• msoechting/lexcube

  Lexcube: 3D Data Cube Visualization in Jupyter Notebooks

  Language:TypeScript1197

• LSDtopotools/LSDTopoTools_ChiMudd2014

  Software for chi analysis. Algorithms based based on Mudd et al. (2014, Journal of Geophysical Research-Earth Surface, https://doi.org/10.1002/2013JF002981) and Mudd et al. 2018 (ESURF, https://doi.org/10.5194/esurf-6-505-2018)

  Language:C++83

• Jack-bo1220/Awesome-Remote-Sensing-Foundation-Models

  1.1k98

• geofileops/geobenchmark

  Benchmarks for some spatial python libraries

  Language:Python22

• giocomai/ganttrify

  Create beautiful Gantt charts with ggplot2

  Language:R66765

• sherzodr/penmon

  Implements weather station class in Python that calculates ETo (reference crop's evapotranspiration) based on UN-FAO Irrigation and Drainage Paper 56

  Language:Python328

• albertotb/get-gfs

  Downloading meteorological information from GFS

  Language:Jupyter Notebook5626

• OpenDroneMap/FIELDimageR

  FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.

  Language:R24692

• r-tmap/tmap

  R package for thematic maps

  Language:R873122

• GIS4WRF/gis4wrf

  QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

  Language:Python16838

• opengeos/segment-geospatial

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

  Language:Python3.1k316

• NASAARSET/ARSET_ML_Fundamentals

  Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"

  Language:Jupyter Notebook201130

• dieghernan/rasterpic

  Convert digital images into georeferenced rasters

  Language:R122

• BenjaminDug/shipdetectionchal

  2nd place solution for the ship detection challenge organised by Huggingface and Data-Driven Science.

  Language:Python6

• quangdungluong/hf-ship-detection

  Top 1 Solution - Ship Detection - Hugging Face competition

  Language:Python6

• aliaksandr960/segment-anything-eo

  Earth observation tools for Meta AI Segment Anything

  Language:Jupyter Notebook41144

• MITDeepLearning/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.3k3.7k

• ant-research/cvpr2020-plant-pathology

  Language:Python20550

• sentinel-hub/eo-learn

  Earth observation processing framework for machine learning in Python

  Language:Python1.1k299

• wherobots/GeoTorchAI

  GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

  Language:Jupyter Notebook48937

• ESDS-Leipzig/sen2nbar

  Nadir BRDF Adjusted Reflectance (NBAR) for Sentinel-2 in Python

  Language:Python504

• vincmazet/bip

  Textbook for the course "Basics of Image Processing"

  Language:Jupyter Notebook245

• earth-env-data-science/earth-env-data-science-book

  Source repo for Earth and Environmental Data Science book

  Language:Jupyter Notebook14453

• appelmar/STpconv

  Data-driven gap filling of satellite image time series using neural networks with spatiotemporal partial convolutions

  Language:Python7

• karimmamer/CropDetectionDL

  Language:Python5122

• SaulMontoya/spatialPythonClassCropRecognitionDroneOrtophoto

  Language:Jupyter Notebook71

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX22.5k2.9k

• sentinel-hub/sentinelhub-py

  Download and process satellite imagery in Python using Sentinel Hub services.

  Language:Python824249