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A spatial, large-scale analytical model for simulating forest harvest and it's potential influence on other forest values (e.g., wildlife habitat).
lang: PLpgSQL
stars: 20
last activity:
Provides a series of convenience functions to fit integrated Species Distribution Models.
lang: R
stars: 20
last activity:
A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images.
lang: Python
stars: 152
last activity:
Map Visualization Dashboard showing environmental maps and conservation data
lang: HTML
stars: 11
last activity:
Automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN.
lang: Python
stars: 248
last activity:
A Python package that streamlines bioacoustic classifier deployment on edge devices like the Raspberry Pi.
lang: Python
stars: 38
last activity:
A philanthropically funded system to help people manage their local marine ecosystems in the face of increasing Ocean temperatures.
lang: TypeScript
stars: 45
last activity:
Environmental data and existing IUCN Red List assessments to predict the conservation status of 'Not Evaluated' species, for any taxon or geographic region of interest.
lang: R
stars: 28
last activity:
Efficient Modelling of Landscape Connectivity, Habitat, and Protected Area Networks.
lang: TeX
stars: 20
last activity:
Making acoustic scattering models available to fisheries and plankton scientists.
lang: Python
stars: 20
last activity:
Fits single-species, multi-species, and integrated spatial occupancy models using Markov Chain Monte Carlo.
lang: R
stars: 72
last activity:
Provides functionality to access data from the European Tracking Network (ETN) database hosted by the Flanders Marine Institute (VLIZ) as part of the Flemish contribution to LifeWatch.
lang: HTML
stars: 12
last activity:
An map-first data collection platform built in collaboration with environmental non-profits and international organizations with the goal of driving sustainability impact at scale.
lang: Kotlin
stars: 287
last activity:
Blends structured wildlife research with artificial intelligence, citizen science, and computer vision to speed population analysis and develop new insights to help fight extinction.
lang: Java
stars: 134
last activity: