Urban ecosystem transformations in New York City : insights from multi-temporal remote sensing and machine learning

Category

Published in:

Abstracts of the ICA
Vol. 10.2025 (16.12.2025), art. no. 309, p. 1-1

Volume:

10.2025

Publication date:

16.12.2025

URN:

urn:nbn:de:0307-20260507-003-9

DOI:

10.5194/ica-abs-10-309-2025

Language:

English

Type of Resource:

Text

Extent:

1 Online-Ressource (Seite 1-1, 700,20 kB) : 1 Textdatei (PDF)

Keywords:

coronavirus pandemic; dense satellite time series; machine-learning models; urban sustainability; SARS-CoV-2^GND; Pandemie^GND; dichte Satellitenzeitreihen; städtische Nachhaltigkeit

Geographic:

New York, NY^GND

Geographic coordinates:

-074.005970 040.714166

OpenStreetMap

DDC subject of DNB:

520 Astronomy & allied sciences

URL:

https://doi.org/10.5194/ica-abs-10-309-2025

URL:

https://ica-abs.copernicus.org/articles/10/309/2025/

Link to Raw Object:

https://ica-abs.copernicus.org/articles/10/309/2025/ica-abs-10-309-2025.pdf

Hosting institution:

Florida State University (FSU) [US]

Hosting institution:

Internationale Forschungseinrichtungen

Statement of responsibility:

Xiaojun Yang, Yuemeng Gao

Bibliographic notes:

Published in: Abstracts of the ICA, Volume 10, 2025 - 32nd International Cartographic Conference (ICC 2025); 17–22 August 2025, Vancouver, Canada; Editors: Mir Abolfazl Mostafavi, Jonathan Li, and Emmanuel Stefanakis | https://ica-abs.copernicus.org/articles/10/index.html