Stars
Mapping the extent, management and condition of the world’s grasslands
Functions for conducting various hyperparameter tuning approach in google earth engine python API
Codes used in the master project to optimize the interpolation process, especifically to soil mapping
An open-source visual image interpretation tool for Google Earth Engine
Evapotranspiration (ET) models for use in python and with integration into Google Earth Engine
Buku open access Pemrosesan Citra Penginderaan Jauh Berbasis Python dan Google Earth Engine.
Simulation tool for soil organic carbon stocks in agricultural soils
Tutorial Geopandas
Supplementary material [data & codes] for the article "Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning"
Repository for code for building a statistical model of Victorian fire activity
GEO-77 class "Introduction to R and digital soil mapping" in Tübingen Unviersity
Repository for Course Materials for Structural Equation Modeling (PSQF 6249) Fall Semester 2025 (University of Iowa)
This repo contains the training webpage and hands-on tutorials for users to learn the fundamental characteristics of GEDI spaceborne lidar for real-world applications and explore GEDI data with tip…
This repository is to identify drought events on a daily scale, based on the daily Standardized Precipitation Index (SPI) and new removal and merging method..
This code detects the flash droughts based on the rapid changes in climatological percentiles of soil moisture
Forecasting vegetation dynamics (EVI) across Southern Africa using pixel-level LSTM models and environmental drivers.
🌾🌽 Awesome lists about all crop simulation models
Contains lab exercises on GeoAI using Python.
Deep learning for geospatial data analysis
Contains lab exercises on machine learning using Python.
Priestley Taylor Jet Propulsion Laboratory Soil Moisture (PT-JPL-SM) Evapotranspiration Model Python Implementation
This repository contains the google earth engine and R script for the GPP prediction project for rice in Arkansas
《Python深度学习实战——从《动手学DL》到大语言模型》课程代码仓库，包含深度学习基础知识、卷积神经网络、循环神经网络、注意力机制与Transformer模型、优化算法、计算性能、计算机视觉、自然语言处理预训练与应用、BERT模型预训练与微调应用、文本生成GPT模型、大语言模型简介与部署应用等内容。