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Satellite observations of urban greenery phenology in downtown Beijing at meter to kilometer scales

Wang, Hexiang and Zeng, Zhao-Cheng (2021) Satellite observations of urban greenery phenology in downtown Beijing at meter to kilometer scales. Earth and Space Science Open Archive (ESSOAr) . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20211201-634620981

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Abstract

To precisely describe the dynamics of vegetation cover in high-density urban areas, this study evaluates the spatial and temporal consistency of the Normalized Difference Vegetation Index (NDVI) from multiple satellite data sources. The study areas of Downtown Beijing target at two scales: the district scale, and the neighborhood scale. Results show that Planet, Sentinel-2, Landsat-8, and MODIS share a similar spatial pattern; Sentinel-2, Landsat-8, and MODIS correlate in the temporal change of NDVI at both spatial scales in 2019, but AVHRR does not present useful information of spatial patterns of urban green space or urban vegetation dynamics at these two scales. Seasonal contrast derived from Sentinel-2 and Landsat-8 can be visualized through seasonal variation ratio to assist urban green space planning. This study highlights the usefulness of existing satellite observations in monitoring a variety of urban greening typologies at the neighborhood scale for improving urban environmental planning.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.1002/essoar.10508987.1DOIDiscussion Paper
ORCID:
AuthorORCID
Wang, Hexiang0000-0001-9072-2178
Zeng, Zhao-Cheng0000-0002-0008-6508
Additional Information:We thank Planet company for providing high-resolution satellite NDVI data, Google Earth Engine for providing Sentinel-2, Landsat-8, MODIS, NDVI data, and NOAA for providing AVHRR NDVI data.
Subject Keywords:Urban greenery, Satellite observations, NDVI, Beijing
DOI:10.1002/essoar.10508987.1
Record Number:CaltechAUTHORS:20211201-634620981
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20211201-634620981
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:112137
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:01 Dec 2021 09:27
Last Modified:28 Nov 2022 19:33

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