<commit_before>---
syncID: e0b6583c874b4c37a11142410a08a14d 
title: 'Data Institute Activity: Calculate Index of Interest'
description: "This page details the remote sensing hyperspectral imaging indices activity used during Data Institutes."
dateCreated: 2017-06-01
estimatedTime: 30 mins
packagesLibraries: 
topics:
languagesTool: 
dataProduct:
code1:
tutorialSeries: 
urlTitle: di-rs-indices-group-coding
---


## Remote Sensing Indices

There are many different indices you might want in your research. NEON provides
several indices as data products that have already been calculated and can will
be available for download from the NEON data portal. 

#### NEON Remote Sensing Vegetation Indices, Data Products, and Uncertainty

In this 20 minute video <NAME> describes NEON Data Products including 
several remote sensing vegetation indices. 
 
<iframe width="560" height="315" src="https://www.youtube.com/embed/4_EYPNI-A5g" frameborder="0" allowfullscreen></iframe>

## Activity Steps

1. Choose an index of interest. You may want to check out <NAME> & <NAME>'s 
<a href="http://www.indexdatabase.de/" target="_blank"> Index Database </a> for ideas:
<a href="http://www.indexdatabase.de/" target="_blank"> www.indexdatabase.de/ </a>.  

2. Work with your small group to create a script to calculate this index from 
the NEON data. Be sure to add comments so that the script is useful to others. 

3. Add your script to the GitHub Repo: **DI-NEON-participants** to share with your
colleagues. Save scripts to the DI-NEON-participants/2017-RemoteSensing/rs-indices.  
Be sure to provide a clear file name reflecting the contents. If you are <commit_msg>updates<commit_after>---
syncID: e0b6583c874b4c37a11142410a08a14d 
title: 'Data Institute Activity: Calculate Index of Interest'
description: "This page details the remote sensing hyperspectral imaging indices activity used during Data Institutes."
dateCreated: 2017-06-01
estimatedTime: 30 mins
packagesLibraries: 
topics:
languagesTool: 
dataProduct:
code1:
tutorialSeries: 
urlTitle: di-rs-indices-group-coding
---


## Remote Sensing Indices

There are many different indices you might want in your research. NEON provides
several indices as data products that have already been calculated and can will
be available for download from the NEON data portal. 

#### NEON Remote Sensing Vegetation Indices, Data Products, and Uncertainty

In this 20 minute video <NAME> describes NEON Data Products including 
several remote sensing vegetation indices. 
 
<iframe width="560" height="315" src="https://www.youtube.com/embed/4_EYPNI-A5g" frameborder="0" allowfullscreen></iframe>

## Activity Steps

1. Choose an index of interest. You may want to check out <NAME> & <NAME>'s 
<a href="http://www.indexdatabase.de/" target="_blank"> Index Database </a> for ideas:
<a href="http://www.indexdatabase.de/" target="_blank"> www.indexdatabase.de/ </a>.  

2. Work with your small group to create a script to calculate this index from 
the NEON data. Be sure to add comments so that the script is useful to others. 

3. Add your script to the GitHub Repo: **DI-NEON-participants** to share with your
colleagues. Save scripts to the DI-NEON-participants/2018-RemoteSensing/rs-indices.  
Be sure to provide a clear file name reflecting the contents. If you are 
{'fraction_non_alphanumeric': 0.08459214501510574, 'fraction_numerical': 0.03141993957703928, 'mean_word_length': 4.738301559792028, 'pattern_counts': {'":': 0, '<': 21, '<?xml version=': 0, '>': 21, 'https://': 2, 'lorem ipsum': 0, 'www.': 8, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '1460330', 'n_tokens_mistral': 1043, 'n_tokens_neox': 930, 'n_words': 402}