jiechencyz,github

2019-unavco-course

Material for the 2019 UNAVCO Short Course "The Generic Mapping Tools for Geodesy"

autorift

A Python module of a fast and intelligent algorithm for finding the pixel displacement between two images

awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

bayesian-framework-for-gipl-parameter-estimation

This contains an annotated copy of the Fortran99 code used in the Journal of Geophysical Research: Biogeosciences manuscript titled: Projecting permafrost thaw of sub-Arctic tundra with a thermodynamic model calibrated to site measurements. It is not meant to be a standalone reproducible model and instead will serve the purpose of transparency in the MCMC framework.

covsar

Covariance Based InSAR Time Series Extraction from an ISCE stack of SLCs using Python

cryogrid3

CryoGrid is a one-dimensional land surface model dedicated to simulate ground temperatures in permafrost environments. The model calculates the surface energy balance in order to represent energy transfer processes between the atmosphere and the ground. These processes include the radiation balance, the exchange of sensible heat, as well as evaporation and condensation. For a realistic representation of the thermal dynamics of the ground, the model includes processes such as the phase change of soil water and an insulating snow cover during winter. Further developments of CryoGrid already enable the model to represent processes such as ground subsidence and the formation of thermokarst due to melting of excess ground ice. The implemented lake module (FLAKE) allows CryoGird also to simulate heat transfer processes of tundra landscapes that are densely populated by lakes and ponds.