Multi-Platform Wildfire Smoke Radiance and Motion-Vector Datasets from GOES, DSCOVR/EPIC, and Airborne eMAS Imagery

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Autori principali: Yanovsky, Igor, LaHaye, Nicholas, Kalashnikova, Olga, Posselt, Derek, Porter, William
Natura: Recurso digital
Pubblicazione: Zenodo 2026
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author Yanovsky, Igor
LaHaye, Nicholas
Kalashnikova, Olga
Posselt, Derek
Porter, William
author_facet Yanovsky, Igor
LaHaye, Nicholas
Kalashnikova, Olga
Posselt, Derek
Porter, William
contents <p>This record contains radiance datasets and derived smoke motion-vector fields for multiple wildfire events observed by GOES, DSCOVR/EPIC, and NASA's Enhanced MODIS Airborne Simulator (eMAS), including the 2025 Los Angeles Fires, 2024 Park Fire, 2019 Sheridan Fire, and 2019 Williams Flats Fire.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19744076
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Multi-Platform Wildfire Smoke Radiance and Motion-Vector Datasets from GOES, DSCOVR/EPIC, and Airborne eMAS Imagery
Yanovsky, Igor
LaHaye, Nicholas
Kalashnikova, Olga
Posselt, Derek
Porter, William
Wildfires
Smoke/analysis
<p>This record contains radiance datasets and derived smoke motion-vector fields for multiple wildfire events observed by GOES, DSCOVR/EPIC, and NASA's Enhanced MODIS Airborne Simulator (eMAS), including the 2025 Los Angeles Fires, 2024 Park Fire, 2019 Sheridan Fire, and 2019 Williams Flats Fire.</p>
title Multi-Platform Wildfire Smoke Radiance and Motion-Vector Datasets from GOES, DSCOVR/EPIC, and Airborne eMAS Imagery
topic Wildfires
Smoke/analysis
url https://doi.org/10.5281/zenodo.19744076