dbuscombe-usgs Goto Github PK

benthicanalysistool

Matlab GUI for semi-automation and annotation of deep-sea ROV benthic imagery

coastseg_manuscript

A repository to host the Journal of Open Source Software manuscript that describes the CoastSeg project

data-visualizer

Geospatial data viewer which aims to visualize different types of data collected from USGS surveys (e.g. bathymetry, topography, grain size) and plot how the data changes over time. 🗺️📈🏖️

dbuscombe-usgs

dbuscombe-usgs.github.io

dl_landscapes_paper

Buscombe & Ritchie (2018) Landscape Classification with Deep Neural Networks. Geosciences 2018, 8(7), 244

doodle_labeller

A python/openCV tool for "Human-In-The-Loop" image segmentation and label image creation using semi-supervised ML

earthannotator

Rapid image labeling for data-driven Earth science discovery.

fieldwork_map

Map of places I've conducted field (and lab) work to date. Click on mymap.geojson to see the interactive map :ocean:

hyeng-915-video

Data and supplemental video for "Automated riverbed sediment classification using low-cost sidescan sonar." By Buscombe, Grams and Smith, J. Hydraulic Engineering 2015

ices2015_software_prototype

Kivy/Python demonstration prototype video acquisition software for the ICES Innovation Fund 2015

matscat

Simple matlab toolbox for suspended sediment concentration estimates from acoustic backscatter profiler

morphosedimentarymapper

A browser-based tool for Doodling on NAIP imagery to make morpho-sedimentary roughness maps

pcmsc_watermasking

Zoo implementation for west coast usgs planecam imagery

pydgs-web

web version of pyDGS for DGS-Online web application

pysesa

python module for spatially explicit spectral analysis

sandbar_seg

grand canyon sandbar segmentation tool

sat_5band_2class_7388008

model demonstration segments 15-m Landsat-7/8 or 10-m Sentinel-2 imagery into water/no water

sds_benchmark

Benchmarking of satellite-derived shoreline mapping techniques

sdsfeatup

Experimental implementation of unsupervised SDS using FeatUp

segmentation_gym

A neural gym for training deep learning models to carry out geoscientific image segmentation. Works best with labels generated using https://github.com/Doodleverse/dash_doodler

semantic-segmentation-suite

Semantic Segmentation Suite in TensorFlow. Modified for RS aerial imagery

streamlit-segmentation-app

streamlit app for binary segmentation

toy_imseg

website

new website august 2016