UP-RS-ESP/PointCloudWorkshop-June2017

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Created over 7 years ago
Updated over 7 years ago

UP-RS-ESP/PointCloudWorkshop-June2017

UP-RS-ESP

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Point-Cloud Workshop from 7-9 June 2017

PointCloudWorkshop-May2022

Point Cloud and Change Detection in the Geoscience

Jupyter Notebook

LidarPC-KDTree

Comparison of KDTree implementations for Lidar PointClouds (PC)

Jupyter Notebook

PointCloudWorkshop-Oct2019

From point clouds and full-waveform data to DEM analysis (Sep-30 to Oct-4 2019)

mkt

Python module to compute the Mann-Kendall test for trend in time series data

GeologicalRemoteSensing_Manuals

Manuals (Markdown, PDF) for Python, Remote-Sensing Software, and SSH installation

CorrCoef

Python C-extension for memory efficient and multithreaded Pearson product-moment correlation coefficient estimation using OpenMP

DEM-KZP

Digital Elevation Model (DEM) and KnickZone-Picker (KZP) Analyzer (http://onlinelibrary.wiley.com/doi/10.1002/2017JF004250/full)

TopoMetricUncertainty

Uncertainties in topographic metrics due to truncation errors and elevation uncertainty

mfdrouting

Multiple Flow Direction (MFD) flow routing after Freeman (1991)

addem

Analysis of Distributions from Digital Elevation Models (ADDEM)

demnets

Digital Elevation Model Networks

qreg

Python module to carry out quantile regression

Codes

Codes pertinent for the analysis for remote sensing or earth-surface data

GEW-DAP04-WS201819

GEW-DAP05-2018

bpl

Python module to work with bounded power-law (BPL) distributed random variables.

Planet2MintPy

Convert offset calculation from PlanetScope data (PS2, SD) to MintPy format for Inversion

Gaussian-kernel-interpolation

Voxelize a point-cloud variable via Gaussian kernel interpolation to voxel centers

DEM_ConnectedComponents

Connected Components (CC) from longitudinal river profiles for debris flow mapping

Jupyter Notebook