yaramohajerani

ai_agent

dynamic_mascons

3D Global Variable-Size Mascon Development using Iterative Spherical Voronoi Tessellations for User-defined Areas of Interest

FrontLearning

Using neural networks to identify glacier calving fronts from satellite imagery

GL_learning

Automated Grounding Line Delineation

icesat-2hackweek.github.io

intro-jupyter

Introduction to Jupyter and IPython

Introduction-to-Spatial-Temporal-Statistics

Introduction to Spatial-Temporal Statistics

Probabilistic_Bayesian_Modeling

Bayesian Modeling Scripts in Python using Stan, Edward, and PyMC3

SpaceTime

surface_classification

Unsupervised surface classification on ICESat-2's ATL03

yaramohajerani/FrontLearning

Using neural networks to identify glacier calving fronts from satellite imagery

yaramohajerani/GL_learning

Automated Grounding Line Delineation

yaramohajerani/Introduction-to-Spatial-Temporal-Statistics

Introduction to Spatial-Temporal Statistics

yaramohajerani/dynamic_mascons

3D Global Variable-Size Mascon Development using Iterative Spherical Voronoi Tessellations for User-defined Areas of Interest

yaramohajerani/ai_agent

yaramohajerani/Probabilistic_Bayesian_Modeling

Bayesian Modeling Scripts in Python using Stan, Edward, and PyMC3

yaramohajerani/SpaceTime

yaramohajerani/icesat-2hackweek.github.io

yaramohajerani/intro-jupyter

Introduction to Jupyter and IPython

yaramohajerani/jupyter-image-2020

Repository for building IceSat2 Hackweek 2020 JupyterHub Image

yaramohajerani/surface_classification

Unsupervised surface classification on ICESat-2's ATL03

yaramohajerani/ML_Tutorial

ICESat-2 Hackweek ML tutorial

yaramohajerani/read-GRACE-geocenter

Reads geocenter data for updating GRACE/GRACE-FO degree one spherical harmonic coefficients

yaramohajerani/read-GRACE-harmonics

Python tools for working with spherical harmonic coefficients from the GRACE and GRACE Follow-On missions

yaramohajerani/yaramohajerani

yaramohajerani/yaramohajerani.github.io