Itslive fig (#54)

* add figure

* fix text

Author: e-marshall

book/background/4_tutorial_data.md

@@ -15,6 +15,12 @@ Here is a broad overview the data included in this tutorial, including how it is
 
 ITS_LIVE is a dataset of ice velocity observations derived from applying a feature tracking algorithm to pairs of satellite imagery. Ice velocity refers to the down-slope movement of glaciers and ice sheets {cite}`Gardner_Scambos_2022`. Because glaciers and ice sheets are dynamic elements of our climate system, they lose or gain mass in response to changes in climate conditions such as warmer temperatures or increased snowfall, measuring variability in the speed of ice flow can help scientists better understand trends in glacier dynamics and interactions between glaciers and climate. 
 
+```{figure} imgs/lopez06-3341335.png
+---
+---
+Example of a ice velocity time series along centerline profile of Malaspina Glacier featuring velocity observations from a range of satellite sensors. Source: Reproduced with permission from {cite:t}`lopez_2023_itslive`.
+```
+
 Part of what is so exciting about ITS_LIVE is that it combines image pairs from a number of satellites, including imagery from optical (Landsat 4,5,7,8,9 & Sentinel-2) and synthetic aperture radar (Sentinel-1) sensors. For this reason, ITS_LIVE time series data can be quite large. Another exciting aspect of the ITS_LIVE dataset is that the image pair time series data is made available as Zarr data cubes stored in cloud object storage on Amazon Web Services (AWS), meaning that users don't need to download massive files to start working with the data! 
 
 ITS_LIVE produces a number of data products in addition to the image pair time series that we use in this tutorial, and provides different options to access the data. Check them out [here](https://its-live.jpl.nasa.gov/#access). 

book/background/imgs/lopez06-3341335.png

@@ -306,6 +306,23 @@ @inproceedings{lewis_2018_CEOSAnalysisReady
   file = {/home/emmamarshall/Desktop/Zotero/storage/UXZSAALM/Lewis et al. - 2018 - CEOS Analysis Ready Data for Land (CARD4L) Overview.pdf}
 }
 
+@ARTICLE{lopez_2023_itslive,
+author={Lopez, Luis A. and Gardner, Alex S. and Greene, Chad A. and Kennedy, Joseph H. and Liukis, Maria and Fahnestock, Mark A. and Scambos, Ted and Fahnestock, Jacob R.},
+journal={ Computing in Science \& Engineering },
+title={{ ITS_LIVE: A Cloud-Native Approach to Monitoring Glaciers From Space }},
+year={2023},
+volume={25},
+number={06},
+ISSN={1558-366X},
+pages={49-56},
+abstract={ NASA's ITS_LIVE project delivers information on global glacier dynamics and provides historical context for climate change with a record of how every glacier in the world has evolved over decades of satellite observation. To handle petabytes of data in the satellite archives and a constant influx of new observations, the project has adopted a cloud-native approach that is scalable, performant, user friendly, and embraces transparent and collaborative code development. As every discipline of Earth science is being transformed by a new era of remote sensing and cloud computing, ITS_LIVE offers a progressive approach to maximizing scientific advancements through open science. },
+keywords={Climate change;Codes;NASA;Collaboration;Geoscience;Glaciers;Monitoring;Satellite images;Remote sensing},
+doi={10.1109/MCSE.2023.3341335},
+url = {https://doi.ieeecomputersociety.org/10.1109/MCSE.2023.3341335},
+publisher={IEEE Computer Society},
+address={Los Alamitos, CA, USA},
+month=nov}
+
 @article{lowndesOurPathBetter2017,
   title = {Our Path to Better Science in Less Time Using Open Data Science Tools},
   author = {Lowndes, Julia S. Stewart and Best, Benjamin D. and Scarborough, Courtney and Afflerbach, Jamie C. and Frazier, Melanie R. and O'Hara, Casey C. and Jiang, Ning and Halpern, Benjamin S.},