Stars
Efficient and low latency real-time global-scale GPS trajectory modeling
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
Tide modelling tools for large-scale satellite Earth observation analysis
An open-source, low-cost, DIY ultrasonic water level sensor
A fast way to retrieve water surface area time-series from Sentinel-2 and Landsat in GEE
R package to support Remote Sensing oriented field work
Generate palettes of distinct colours through k means clustering of LAB colour space.
Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model
A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improvements to existing guides by re-implementation, as w…
This package allows R code chunks, which can be tested for reproducibility.
This repository hosts several tutorial scripts that exemplify how you can access data from Google Earth Engine through the R-package "rgee".
Bashscript that allows you to run Microsoft's Megadetector on a series of subfolders.
This repository hosts all code for the R-package "video2pic". As the name suggests, this package allows to extract still pictures or "frames" from a video.
This repository hosts all code for the R-package "rainmapr". rainmapr can be used to download CHIRPS raster data on precipitation.
Single-species, Multi-species, and Integrated Spatial Occupancy Models
Simple benchmark to compare jsonlite, ndjson, corpus
♨️ Wicked-Fast Streaming 'JSON' ('ndjson') Reader in R
Software for automated insect monitoring with the Insect Detect camera trap.
Everything I know about machine learning and camera traps.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
AnuraSet: A dataset for classification of tropical anurans from passive acoustic monitoring
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.