Pinned Repositories
academic-kickstart
AFGRRF
New machine learning feature selection method applied to the mapping of binary geographic phenomenon (occurrence vs absence). Selecting a feature subset that optimise both the overall accuracy and the potentially occurrence area, using the Success Rate.
AIforEarthDataSets
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
earthengine-catalog
Earth Engine Public Data Catalog in STAC form
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
ecuaciones-latex-word-markdown
Como crear documentos con ecuaciones en mardown y convertirlos a word o latex y viceversa
GPs_prueba
GRRF-optimization
Demo of the paper: "An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing"
SIx_GEE_Toolbox
Toolbox for calculating spring onset using GEE
cgc
A clustering tool for geospatial applications
EIzquierdo's Repositories
EIzquierdo/GRRF-optimization
Demo of the paper: "An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing"
EIzquierdo/academic-kickstart
EIzquierdo/AFGRRF
New machine learning feature selection method applied to the mapping of binary geographic phenomenon (occurrence vs absence). Selecting a feature subset that optimise both the overall accuracy and the potentially occurrence area, using the Success Rate.
EIzquierdo/AIforEarthDataSets
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
EIzquierdo/earthengine-catalog
Earth Engine Public Data Catalog in STAC form
EIzquierdo/earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
EIzquierdo/ecuaciones-latex-word-markdown
Como crear documentos con ecuaciones en mardown y convertirlos a word o latex y viceversa
EIzquierdo/GPs_prueba
EIzquierdo/JupyterDask-Examples
Collection of examples for RS-DAT JupyterDask deployments
EIzquierdo/legendgram
Legendgrams are distributional visualizations for map classification schemes
EIzquierdo/SIx_GEE_Toolbox
Toolbox for calculating spring onset using GEE
EIzquierdo/Markdown-Tutorial
A comprehensive guide to Markdown / Introduction to Markdown
EIzquierdo/t81_558_deep_learning_course
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis