Satellite observations of urban greenery phenology in downtown Beijing at meter to kilometer scales
- Creators
- Wang, Hexiang
- Zeng, Zhao-Cheng
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.
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.Attached Files
Submitted - essoar.10508987.1.pdf
Files
Name | Size | Download all |
---|---|---|
md5:e39178e7dbe6dcf1396f3c045d0ff10b
|
564.0 kB | Preview Download |
Additional details
- Eprint ID
- 112137
- Resolver ID
- CaltechAUTHORS:20211201-634620981
- Created
-
2021-12-01Created from EPrint's datestamp field
- Updated
-
2022-11-28Created from EPrint's last_modified field