| { |
| "id": "methaneset-emit", |
| "dataset_version": "1.0.0", |
| "description": "methaneset-emit provides analysis-ready hyperspectral data from the EMIT imaging spectrometer (ISS) for methane plume detection and quantification. Each sample contains the full L1B radiance cube (285 bands, 381\u20132493 nm) in sensor geometry, three pre-computed retrieval products (matched filter, robust matched filter, and mag1c concentration in ppm\u00b7m), dual plume segmentation masks from UNEP-IMEO and CarbonMapper analysts, Copernicus DEM GLO-30 elevation, and observation geometry (SZA, VZA, AMF, azimuth angles). Unlike multispectral MethaneSET subsets that require temporal image pairs, EMIT enables single-acquisition detection via direct spectral absorption fitting.", |
| "licenses": [ |
| "CC-BY-4.0" |
| ], |
| "providers": [ |
| { |
| "name": "NASA JPL", |
| "roles": [ |
| "producer" |
| ], |
| "url": null, |
| "links": null |
| }, |
| { |
| "name": "UNEP IMEO", |
| "roles": [ |
| "producer" |
| ], |
| "url": null, |
| "links": null |
| }, |
| { |
| "name": "CarbonMapper", |
| "roles": [ |
| "producer" |
| ], |
| "url": null, |
| "links": null |
| }, |
| { |
| "name": "Hugging Face", |
| "roles": [ |
| "host" |
| ], |
| "url": null, |
| "links": null |
| } |
| ], |
| "tasks": [ |
| "segmentation", |
| "regression" |
| ], |
| "taco_version": "0.5.0", |
| "title": "MethaneSET-EMIT: Hyperspectral Methane Plume Detection from EMIT", |
| "curators": [ |
| { |
| "name": "Cesar Aybar", |
| "organization": "Universitat de Val\u00e8ncia, Image and Signal Processing (ISP) Group", |
| "email": "cesar.aybar@uv.es", |
| "role": null |
| } |
| ], |
| "keywords": [ |
| "methane", |
| "hyperspectral", |
| "EMIT", |
| "ISS", |
| "imaging-spectroscopy", |
| "matched-filter", |
| "plume-detection", |
| "segmentation", |
| "retrieval", |
| "remote-sensing", |
| "earth-observation", |
| "deep-learning" |
| ], |
| "extent": { |
| "spatial": [ |
| -180.0, |
| -90.0, |
| 180.0, |
| 90.0 |
| ], |
| "temporal": null |
| }, |
| "publications": [ |
| { |
| "doi": "10.5067/EMIT/EMITL1BRAD.001", |
| "citation": "Green, R. O., et al. (2023). EMIT L1B At-Sensor Calibrated Radiance and Geolocation Data 60 m V001. NASA Land Processes DAAC.", |
| "summary": "EMIT L1B calibrated radiance product used as source imagery." |
| }, |
| { |
| "doi": "10.5194/amt-17-1333-2024", |
| "citation": "Roger, J., Guanter, L., Gorro\u00f1o, J., & Irakulis-Loitxate, I. (2024). Exploiting the entire near-infrared spectral range to improve the detection of methane plumes with high-resolution imaging spectrometers. Atmospheric Measurement Techniques, 17, 1333\u20131346.", |
| "summary": "Wide/robust matched filter method used for RMF retrieval product." |
| }, |
| { |
| "doi": "10.5194/amt-14-2771-2021", |
| "citation": "Foote, M. D., et al. (2020). Fast and accurate retrieval of methane concentration from imaging spectrometer data using sparsity prior. IEEE Transactions on Geoscience and Remote Sensing, 58(9), 6480\u20136492.", |
| "summary": "mag1c retrieval algorithm for calibrated ppm\u00b7m concentration estimates." |
| }, |
| { |
| "doi": "10.48550/arXiv.2411.15452", |
| "citation": "Vaughan, A.*, Mateo-Garcia, G.*, et al. (2024). AI for operational methane emitter monitoring from space. arXiv preprint arXiv:2411.15452.", |
| "summary": "MARS operational system providing IMEO plume masks." |
| } |
| ] |
| } |
