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semantic_segmentation_satellite_image

This repository contains all the codes and data for semantic geologic segmentation of Landsat 8 images

shipdetectionbcfar_sarimagery

A Kernel, based on Adaptive threshold algorithm for automatic Ship Detection using Dual Polarimetric SAR Imagery. Innovation is aimed at the usage of bilateral Filters.

single-object-background-subtractor

End-to-end CNN-based Autoencoder that can segment any objects even if it is out of the classes present in the training set.

skagitlandslidehazards

Seattle City Light is interested in improving understanding of landslide hazard and sediment transport to ensure reliable and cost-effective hydropower generation.

sph

Smoothed Particle Hydrodynamics (SPH) is a meshless method for solving the Navier-Stokes equation, in which fluid properties are stored on Lagrangian fluid particles (i.e. on particles which move with the fluid flow). The particles interact to generate values across the entire fluid domain through continuous smoothing kernels.

tabnet-and-autogluon-landslide-predictions

tectonicplates

the-big-one-ground-shaking-and-landslides-coming-to-a-neighborhood-near-you

tintpy

Scripts for InSAR processing

torchrs

PyTorch implementation of popular datasets and models in remote sensing

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

transferablearsthreshold

This code presents the improved Antecedent Rainfall - Susceptibility threshold model

tslearn

A machine learning toolkit dedicated to time-series data

ts_analysis

analyzing InSAR time series!! :)

uavsar_insar

A repository that contains a workflow for performing InSAR timeseries analyses with UAVSAR data. The workflow is primarily used by Forrest Williams to perform fault and landslide deformation analysis within his NASA JPL internship, but others may find the workflow useful as well.

variational-autoencoder-for-satellite-imagery

This is my implementation of a special Variational Autoencoder under TF 2.0, which make it possible to squeeze N images to generate one single representation of all the dataset with colors segmentation of the difference objects

williams_2022_landslide_monitoring_framework

yunjun_et_al-2019-mintpy

Notebooks for Yunjun et al. (2019) on the MintPy software