https://github.com/zxdawn/hyper-landfill

Notebooks for paper "Global Solid Waste Methane Super Emitters Using Hyperspectral Satellites"
https://github.com/zxdawn/hyper-landfill

hyperspectral methane methane-detection

Last synced: 7 months ago
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Notebooks for paper "Global Solid Waste Methane Super Emitters Using Hyperspectral Satellites"

• Host: GitHub
• URL: https://github.com/zxdawn/hyper-landfill
• Owner: zxdawn
• License: gpl-3.0
• Created: 2023-11-07T20:53:20.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-03-06T16:38:33.000Z (8 months ago)
• Last Synced: 2025-03-06T17:38:32.049Z (8 months ago)
• Topics: hyperspectral, methane, methane-detection
• Language: Jupyter Notebook
• Homepage:
• Size: 56.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Hyper-Landfill

![](figures/emission_sankey.png)

## Usage

This repository contains scripts and a selection of data used in the ES&T paper "Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites."

All input data are available in the Zenodo dataset titled ["Dataset for Global Identification of Solid Waste Methane Super Emitters Using Hyperspectral Satellites"](https://doi.org/10.5281/zenodo.13643544).

To use the data, download the compressed file, extract it into the root directory, and rename the folder to "data". This will ensure that all Jupyter Notebooks run correctly.

## Notebook structure

- emission_summary.ipynb

    

    Table S2 and S3; Generating summary data

- emission_map.ipynb

    Fig. 1 and S7

- hyper_sankey.ipynb

    Fig. 2 and S9

- emission_comp_th.ipynb

    Fig. 3 and S13; Table S4, S5, S6, S7, and S8

- emission_timeseries.ipynb

    Fig. 4, S14, and S15

- errors.ipynb

    Fig. S1

- emission_stats.ipynb

    Fig. S8 and S10

- climatetrace_stats.ipynb

    Fig. S11

- s2_landfill.ipynb

    Fig. S12, S17, and S18

- animation.ipynb

    Movie S1 and S2

## Reference

Zhang, Xin, et al. "Global identification of solid waste methane super emitters using hyperspectral satellites." (2025, under review).