afscgap
Species survey toolset
Tools for accessing and analyzing NOAA AFSC GAP marine species surveys data
Python-based tools for NOAA AFSC GAP marine species surveys data
5 stars
4 watching
4 forks
Language: Python
last commit: 12 months ago
Linked from 1 awesome list
biodiversitybiologyfishfisheriesnoaa
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 afsc-gap-products/coldpool | Provides temperature data products for the eastern Bering Sea's bottom trawl surveys | 9 |
 adugnag/gee_s1_ard | Prepares Sentinel-1 SAR data for analysis in Google Earth Engine | 240 |
| afsc-gap-products/survey-live-temperature-map | Creates daily temperature and anomaly plots from ship-borne data for fisheries surveys in the Bering Sea. | 8 |
 earth-chris/elapid | Software package for species distribution modeling using geospatial data and machine learning algorithms | 56 |
 nesp-tsr3-1/tsx | An application for managing and analyzing data on threatened Australian species | 6 |
 gclunies/noaa_coops | Provides access to NOAA CO-OPS tide and current data through a Python API | 82 |
 hainegroup/oceanspy | A Python package to facilitate analysis and visualization of ocean model data | 104 |
 noaa-fims/fims | A software system for next-generation fisheries stock assessment and ecosystem modeling | 17 |
 usgs-cmg/stglib | A Python package providing routines to process oceanographic time-series data from various instrumentation types. | 19 |
 johntruckenbrodt/pyrosar | A framework for processing SAR satellite data from various sources | 514 |
 esa-philab/opensartoolkit | A toolset for pre-processing and analyzing SAR data from Sentinel-1 satellites | 214 |
 so-yeonbae/sentinel1-biodiversity | This project provides R code and data processing instructions for analyzing Sentinel-1 radar satellite data to map forest biodiversity. | 10 |
 nansencenter/nansat | A Python toolbox for processing 2D satellite Earth observation data | 182 |
 nsidc/earthaccess | A Python library providing easy access to NASA Earth science data | 433 |
 csyhuang/hn2016_falwa | Computes diagnostic metrics from climate data to analyze wave activity in the atmosphere. | 34 |