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‎CHANGE_LOG.md‎

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# Change Log
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All notable changes to this project will be documented in this file.
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](http://keepachangelog.com/)
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and this project adheres to [Semantic Versioning](http://semver.org/).
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_________________________________________________________________________
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## 2023-07-06
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> ### Added
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>
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> - `How_to_find_and_access_EMIT_data` Notebook - A guide for how to use `earthaccess` Python library to find and open/download EMIT data.
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> ### Changed
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>
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> - **Default behavior of `emit_xarray` function from `emit_tools.py` no longer orthorectifies, must add parameter `ortho=True`**
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> - Removed 'bands' dimension in favor of 'wavelengths' for 'radiance' and 'reflectance' when using `emit_xarray` function from `emit_tools.py`
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> - Updated `write_envi` function from `emit_tools.py`, it should work for L1A,L1B, and L2A products.
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> - various other minor changes to `emit_tools.py`
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> - Updated notebooks to support changes made to `emit_tools.py`
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> - Improved RGB Image creation and brightness adjustment in `Exploring_EMIT_L2A_Reflectance` Tutorial
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> - Each notebook now uses the `earthaccess` python library to handle NASA Earthdata Login and downloads of needed files
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> - Updated `setup_instructions.md` and recommended python environment `emit_tutorials_windows.yml`
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> - Updated `setup_instructions.md` to recommend mamba
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## 2023-05-30
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> ### Changed
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>
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> - Restructured repository layout to match LP DAAC standards
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## 2023-05-16
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> ### Changed
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>
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> ### Changed
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>
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> - Updated `emit_tools.py` to work for HTTPFileSystem URIs
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## 2023-04-11
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>
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>
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> - The orthorectification process within `emit_tools.py` was creating a lat/lon grid based upon the upper left pixel coordinates. Corrected this to be pixel centers.
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## 2023-03-29
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> ### Added
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>
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> - CHANGE_LOG.md
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> - CODE_OF_CONDUCT.md
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> - CONTRIBUTING.md
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> - LICENSE.md
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>
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> - content in CHANGE_LOG.md
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> -

‎LICENSE‎

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‎LICENSE.md‎

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‎README.md‎

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|Name|Type|Summary|
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|[Getting EMIT Data using EarthData Search](guides/Getting_EMIT_Data_using_EarthData_Search.md)|Markdown Guide|A thourough walkthrough for using [EarthData Search](https://search.earthdata.nasa.gov/search) to find and download EMIT data|
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|[Getting EMIT Data using EarthData Search](guides/Getting_EMIT_Data_using_EarthData_Search.md)|Markdown Guide|A thorough walkthrough for using [EarthData Search](https://search.earthdata.nasa.gov/search) to find and download EMIT data|
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|[Exploring EMIT L2A Reflectance](python/tutorials/Exploring_EMIT_L2A_Reflectance.ipynb)|Jupyter Notebook|Explore EMIT L2A Reflectance data using interactive plots|
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|[How to find and access EMIT data](python/how-tos/How_to_find_and_access_EMIT_data.ipynb)|Jupyter Notebook|Use the `earthaccess` Python library to find and download or stream EMIT data|
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|[How to Convert to ENVI Format](python/how-tos/How_to_Convert_to_ENVI.ipynb)|Jupyter Notebook|Convert from downloaded netCDF4 (.nc) format to .envi format|
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|[How to Orthorectify](python/how-tos/How_to_Orthorectify.ipynb)|Jupyter Notebook|Use the geometry lookup table (GLT) included with the EMIT netCDF4 file to project on a geospatial grid (EPSG:4326)|
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|[How to Extract Point Data](python/how-tos/How_to_Extract_Points.ipynb)|Jupyter Notebook|Extract spectra using lat/lon coordinates from a .csv and build a dataframe/.csv output|
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|[How to Extract Area Data](python/how-tos/How_to_Extract_Area.ipynb)|Jupyter Notebook|Clip to/extract an area defined by a .geojson or shapefile|
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|[How to Extract Area Data](python/how-tos/How_to_Extract_Area.ipynb)|Jupyter Notebook|Extract an area defined by a .geojson or shapefile|
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|[How to use EMIT Quality Data](python/how-tos/How_to_use_EMIT_Quality_data.ipynb)|Jupyter Notebook|Build a mask using an EMIT L2A Mask file and apply it to an L2A Reflectance file|
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|[How to use Direct S3 Access with EMIT](python/how-tos/How_to_Direct_S3_Access.ipynb)|Jupyter Notebook|Use S3 from inside us-west2 to access EMIT Data|
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|[How to find EMIT Data using NASA's CMR API](python/how-tos/How_to_find_EMIT_data_using_CMR_API.ipynb)|Jupyter Notebook|Use NASA's CMR API to programatically find EMIT Data|
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|[How to use Direct S3 Access with EMIT](python/how-tos/How_to_Direct_S3_Access.ipynb)|Jupyter Notebook|Use S3 from inside AWS us-west2 to access EMIT Data|
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|[How to find EMIT Data using NASA's CMR API](python/how-tos/How_to_find_EMIT_data_using_CMR_API.ipynb)|Jupyter Notebook|Use NASA's CMR API to programmatically find EMIT Data|
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+ [JPL EMIT Website](https://earth.jpl.nasa.gov/emit/)
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+ [Video of 2023 Tutorial Series](https://www.youtube.com/playlist?list=PLO2yB4LGNlWrC5NdxeHMxyAxdwQhSypXe)
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+ [LP DAAC EMIT Product Pages](https://lpdaac.usgs.gov/product_search/?query=emit&status=Operational&view=cards&sort=title) - Learn more about available EMIT products
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+ [VISIONS Open Data Portal](https://earth.jpl.nasa.gov/emit/data/data-portal/coverage-and-forecasts/) - Learn about current and forecatsed EMIT coverage
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+ [VISIONS Open Data Portal](https://earth.jpl.nasa.gov/emit/data/data-portal/coverage-and-forecasts/) - Learn about current and forecasted EMIT coverage
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+ [EMIT on Earth Data Search](https://search.earthdata.nasa.gov/search?q=%22EMIT%22) - Download EMIT Data from NASA
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+ [EMIT on Earth Data Search](https://search.earthdata.nasa.gov/search?q=%22EMIT%22) - Download EMIT Data from NASA
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+ [EMIT Github Repository](https://github.com/emit-sds) - Main EMIT Repository
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---
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## Contact Info:
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## Contact Info
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Email: LPDAAC@usgs.gov
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Email: <LPDAAC@usgs.gov>
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Voice: +1-866-573-3222
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Organization: Land Processes Distributed Active Archive Center (LP DAAC)¹
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Website: <https://lpdaac.usgs.gov/>
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Date last modified: 05-18-2023
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Date last modified: 07-07-2023
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¹Work performed under USGS contract G15PD00467 for NASA contract NNG14HH33I.

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