Stars
UN Handbook on Remote Sensing for Agricultural Statistics
All pdfs of Victor Eijkhout's Art of HPC books and courses
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Algorithms to derive a land surface phenology product from PlanetScope imagery for AmeriFlux and NEON sites
Image segmentations of trees outside forest
PyMC educational resources
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
Pytorch addaption of waldnerfs FracTAL_ResUNet repository that can be used for Field Delineation
mxnet source code for the resuneta semantic segmentation models
Machine Learning and Causal Inference taught by Brigham Frandsen
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Data science interview questions and answers
The source codes of Time-series-based Reflectance Adjustment (TRA) approach (Windows C/C++ and MATLAB version)
Tutorials to access and process time series of satellite data in the cloud
Statistical Rethinking course winter 2022
PyTorch implementation of NeurIPS 2021 paper "Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis"
Examples of how to create colorful, annotated equations in Latex using Tikz.
Index of Sentinel-2 scene boundaries and name
Automate processing of images from LAMP sensors
R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html