cassandra-brigham Goto Github PK

3d_differencing

3D differencing in OpenTopography - Author: Chelsea Scott [email protected]

coastal-differencing-test

demcompare

3D DEM comparison CNES tool

differencing-error-workbook

dinosar

tools for InSAR processing on AWS

earth-analytics-python-env

A conda environment and docker container to support using earth and environmental data in Python.

earthpy

A package built to support working with spatial data using open source python

estimatemeanuncertainty

fissures_planet_project

intro_to_pdal

Basic introduction to Point Data Abstraction Library (PDAL)

learning-git

Repository for learning git and github collaboratively.

learningopentopodifferencing

Notebook to teach myself topographic differencing within the OpenTopography framework.

morphologicvariability

Code associated with Brigham and Crider's (2022) metric for calculating along-landform morphologic variability.

notebooks

interactive notebooks from Planet Engineering

ot_3dep_workflows

Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data

ot_api_notebooks

ot_bulkaccess_cogs

OpenTopography has recently converted its entire global dataset collection to COGs. This notebook example highlights the power of Cloud Optimized GeoTIFFs (COGs) and how they can be used to reduce download filesizes as well as increase data access speeds.

otqaqc

planet-client-python

Python client for Planet APIs

planet_tools

Utilities and libraries for Planet data

points2grid

Points2Grid is a robust and scalable tool for gridding LIDAR point cloud data to generate Digital Elevation Models (DEM). Points2Grid uses a local gridding method to compute grid cell elevation using a neighborhood defined around each cell based on a search radius provided by the user.

pygeotools

A collection of libraries and utilities for geospatial data processing/analysis

raster-2019

contents for 2019 raster tutorial

rsam-seg

Code for RSAM-Seg

sam_topo

Segment anything model for topographic data

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

scikit-gstat

Geostatistical variogram estimation expansion in the scipy style

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

training-workshop

usgs_sam_mapping