Skip to content

Deep Learning Daily

Deep Learning, NLP, NMT, AI, ML

  • Home
  • About
  • Privacy Policy
October 16, 2021 Metadata

An easy to use wrapper to the NASA EOSDIS Common Metadata Repository API

This repository is a copy of jddeal/python_cmr which is no longer maintained. It has been copied here with the permission of the original author for the purpose of continuing to develop a python library that can be used for CMR access.

Python CMR is an easy to use wrapper to the NASA EOSDIS Common Metadata Repository API. This package aims to make querying the API intuitive and less error-prone by providing methods that will preemptively check for invalid input and handle the URL encoding the CMR API expects.

Getting access to NASA’s earth science metadata is as simple as this:

>>> from cmr import CollectionQuery, GranuleQuery

>>> api = CollectionQuery()
>>> collections = api.archive_center("LP DAAC").keyword("AST_L1*").get(5)

>>> for collection in collections:
>>> print(collection["short_name"])
AST_L1A
AST_L1AE
AST_L1T

>>> api = GranuleQuery()

 

 

 

To finish reading, please visit source site

Categories

Recent Posts

  • Quiz: How to Write Docstrings in Python
  • How to Write Docstrings in Python
  • Applicability vs. job displacement: further notes on our recent research on AI and occupations
  • Coauthor roundtable: Reflecting on healthcare economics, biomedical research, and medical education
  • MindJourney enables AI to explore simulated 3D worlds to improve spatial interpretation

Tags

Attention blogathon Calculus Command-line Tools Data Preparation data science data visualization Deep Learning Deep Learning for Computer Vision Deep Learning for Natural Language Processing Deep Learning for Time Series Deep Learning Performance Deep Learning with PyTorch Ensemble Learning Generative Adversarial Networks Imbalanced Classification Linear Algebra Long Short-Term Memory Networks machine learning Machine Learning Algorithms Machine Learning Process Machine Learning Resources machine translation Matplotlib Natural language processing Natural Language Processing & Speech Neural MT nlp NMT opencv Optimization pandas Probability python Python for Machine Learning Python Machine Learning Resources R Machine Learning scikit-learn sentiment analysis Start Machine Learning Statistics Time Series Weka Machine Learning XGBoost

Categories

Archives

Powered by WordPress and Rubine.