a2875cdc-ba6a-49dc-aab7-cdf7c4fc0fa8

Exploring MODIS MOD021KM and FIRMS datasets

https://github.com/eds-book/a2875cdc-ba6a-49dc-aab7-cdf7c4fc0fa8

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 2 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.0%) to scientific vocabulary

Keywords

environmental-data-science exploration modis wildfires
Last synced: 6 months ago · JSON representation ·

Repository

Exploring MODIS MOD021KM and FIRMS datasets

Basic Info
  • Host: GitHub
  • Owner: eds-book
  • License: other
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 15 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 6
Topics
environmental-data-science exploration modis wildfires
Created almost 4 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

MODIS MOD021KM and FIRMS

Continuous integration badge Binder doi notebook review

How to run

Running on Binder

The notebook is designed to be launched from Binder.

Click the Launch Binder button at the top level of the repository

Running locally

You may also download the notebook from GitHub to run it locally: 1. Open your terminal

  1. Check your conda install with conda --version. If you don't have conda, install it by following these instructions (see here)

  2. Clone the repository bash git clone https://github.com/eds-book-gallery/a2875cdc-ba6a-49dc-aab7-cdf7c4fc0fa8.git

  3. Move into the cloned repository bash cd a2875cdc-ba6a-49dc-aab7-cdf7c4fc0fa8

  4. Create and activate your environment from the .binder/environment.yml file bash conda env create -f .binder/environment.yml conda activate a2875cdc-ba6a-49dc-aab7-cdf7c4fc0fa8

  5. Launch the jupyter interface of your preference, notebook, jupyter notebook or lab jupyter lab

Owner

  • Name: Environmental Data Science Book
  • Login: eds-book
  • Kind: organization
  • Email: environmental.ds.book@gmail.com

Organisation repo of EDS book for governance, outreach and other community-led activities

Citation (CITATION.cff)

cff-version: 1.2.0
message: Please cite the following works when using this project.
abstract: >-
  Notebook developed to demonstrate how to explore MODIS MOD021KM and FIRMS
  data.
title: >-
  MODIS MOD021KM and FIRMS (Jupyter Notebook) published in the Environmental
  Data Science book
authors:
  - family-names: Jackson
    given-names: Samuel
    affiliation: Science and Technology Facilities Council
    orcid: 0000-0001-5301-5095
    email: samueljackson@outlook.com
date-released: '2024-09-13'
contact:
  - family-names: Jackson
    given-names: Samuel
    affiliation: Science and Technology Facilities Council
    orcid: 0000-0001-5301-5095
    email: samueljackson@outlook.com
identifiers:
  - description: Open review report for this notebook
    type: url
    value: https://github.com/alan-turing-institute/environmental-ds-book/pull/2
keywords:
  - Fire
  - Exploration
  - Standard
  - Python
license: MIT
license-url: https://opensource.org/license/MIT
repository: https://github.com/eds-book/a2875cdc-ba6a-49dc-aab7-cdf7c4fc0fa8
type: software
version: v2025.6.0

GitHub Events

Total
  • Push event: 17
  • Create event: 1
Last Year
  • Push event: 17
  • Create event: 1

Dependencies

.binder/environment.yml conda
  • aiohttp
  • cartopy
  • datashader
  • hvplot
  • intake
  • intake-xarray
  • jupyter
  • pandas
  • pyhdf
  • python 3.9.*
  • python-dotenv
  • xarray