Interface program for our crop models

PDAL is Point Data Abstraction Library. GDAL for point cloud data.

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

A living benchmark framework for symbolic regression

[ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

A Python library for calculating and displaying the skill of model predictions against observations.

MIRROR of https://gitlab.com/hkex/resipy which is a GUI and Python API for R2 codes

decode n38 binary logfiles in R

A collection of material for performing electromagnetic induction (EMI) surveys using an Geonics, Ltd. EM38 device, plus theory. Additionally, it contains the necessary software and training for ru…

CI4FAIR Workshop Materials

OTIlib: An open source library for Order Truncated Imaginary (OTI) Numbers. An algebra for efficient arbitrary-order, multivariate differentiation.

Footprint estimation and analysis for eddy covariance flux tower data

A FAIR data management and image analysis framework. FAIR stands for Findable, Accessible, Interoperable and Reusable.

to visualize data streams and learn about FAIR principles. Features Data Stream Plot: View a real-time plot of a generated data stream. FAIR Principles: Learn about FAIR principles, which promote F…

An open-source, low-code machine learning library in Python

Code for the manuscript "Assessing Ensemble Models for Carbon Sequestration and Storage Estimation in Forests Using Remote Sensing Data"

This code is for artical<<Spatial and Temporal Downscaling of ERA5 and CMIP6 Data Based on Deep Learning and Its Application in Typhoon Identification>>

Based on the time, the corresponding records are expected to extracted from the EC-tower processed data (table), which is used for footprint-area calculation and TSEB modeling.

Gain images based on AggieAir-platform image to support TSEB model.

Digital values of important components from the TSEB model within footprint: Rn, H, LE, G, and LE (Canopy), and also the average LAI value extracted from the footprint area.

Repository of arcGIS Pro python code for obtaining TSEB inputs using UAV data

QGIS plugin for preprocessing and running TSEB

R package to estimate leaf area density (LAD) and leaf area index (LAI) from airborne LiDAR point clouds

High-Performance Symbolic Regression in Python and Julia

Awesome Spectral Indices in Python.

Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine

Techniques for deep learning with satellite & aerial imagery

course material for graduate course on Remote Sensing Methods in Hydrology

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.