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Advancing model predictions of tropical forest carbon cycle responses to a changing climate over the 21st Century.
lang: Fortran
stars: 130
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: 140
last activity:
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:
A package built to enable interoperability and scalability in ocean sonar data processing.
lang: Python
stars: 138
last activity:
Python Package for Tree Crown Detection in Airborne RGB imagery.
lang: Python
stars: 761
last activity:
Tools for panoptic segmentation and developing machine learning models for benthic imagery.
lang: Python
stars: 50
last activity:
A collection of Julia packages forming a toolkit meant to deal with species distribution data.
lang: Julia
stars: 26
last activity:
The Koster Seafloor Observatory is an open-source, citizen science and machine learning approach to analyse subsea movies.
lang: Python
stars: 9
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: 291
last activity:
Map Visualization Dashboard showing environmental maps and conservation data
lang: HTML
stars: 11
last activity:
Computer vision library for wildfire detection.
lang: Python
stars: 65
last activity:
An R Package for NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing.
lang: R
stars: 184
last activity:
Making acoustic scattering models available to fisheries and plankton scientists.
lang: Python
stars: 22
last activity:
Wildfire Predictive Services to support decision making in prevention, preparedness, response and recovery.
lang: Python
stars: 65
last activity: