Surveying Green Spaces in European Human Settlements at 30 m Sub-Pixel Level

Fei Xu; Ben Somers

doi:10.1109/IGARSS47720.2021.9554860

Surveying Green Spaces in European Human Settlements at 30 m Sub-Pixel Level

Fei Xu, Ben Somers

KU Leuven

Research output: Contribution to conference › Paper › peer-review

Abstract

This study collected training samples of urban green space (UGS) area versus reflectance spectra from 52 city areas in Europe and trained a subpixel SVR model to quantitatively evaluate the level of urban green space development in different European countries on the Google Earth Engine platform as of 2015. The results show that RMSE values of the applied SVR model reach 0.09 to 0.13. Moldova, Norway, Belgium, and Ukraine are in the top tier of average urban green space density in Europe, while Greece, Monaco, Spain, and Albania are in the bottom quartile. Besides, the majority UGS resources concentrate in Western European countries.

Original language	English
Pages	5405-5408
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9554860
State	Published - 2021
Externally published	Yes
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21

Keywords

Europe
Google Earth Engine
Urban green space
Urban land cover mapping

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/IGARSS47720.2021.9554860

Cite this

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title = "Surveying Green Spaces in European Human Settlements at 30 m Sub-Pixel Level",

abstract = "This study collected training samples of urban green space (UGS) area versus reflectance spectra from 52 city areas in Europe and trained a subpixel SVR model to quantitatively evaluate the level of urban green space development in different European countries on the Google Earth Engine platform as of 2015. The results show that RMSE values of the applied SVR model reach 0.09 to 0.13. Moldova, Norway, Belgium, and Ukraine are in the top tier of average urban green space density in Europe, while Greece, Monaco, Spain, and Albania are in the bottom quartile. Besides, the majority UGS resources concentrate in Western European countries.",

keywords = "Europe, Google Earth Engine, Urban green space, Urban land cover mapping",

author = "Fei Xu and Ben Somers",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

year = "2021",

doi = "10.1109/IGARSS47720.2021.9554860",

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AU - Xu, Fei

AU - Somers, Ben

PY - 2021

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N2 - This study collected training samples of urban green space (UGS) area versus reflectance spectra from 52 city areas in Europe and trained a subpixel SVR model to quantitatively evaluate the level of urban green space development in different European countries on the Google Earth Engine platform as of 2015. The results show that RMSE values of the applied SVR model reach 0.09 to 0.13. Moldova, Norway, Belgium, and Ukraine are in the top tier of average urban green space density in Europe, while Greece, Monaco, Spain, and Albania are in the bottom quartile. Besides, the majority UGS resources concentrate in Western European countries.

AB - This study collected training samples of urban green space (UGS) area versus reflectance spectra from 52 city areas in Europe and trained a subpixel SVR model to quantitatively evaluate the level of urban green space development in different European countries on the Google Earth Engine platform as of 2015. The results show that RMSE values of the applied SVR model reach 0.09 to 0.13. Moldova, Norway, Belgium, and Ukraine are in the top tier of average urban green space density in Europe, while Greece, Monaco, Spain, and Albania are in the bottom quartile. Besides, the majority UGS resources concentrate in Western European countries.

KW - Europe

KW - Google Earth Engine

KW - Urban green space

KW - Urban land cover mapping

UR - https://www.scopus.com/pages/publications/85129784990

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DO - 10.1109/IGARSS47720.2021.9554860

M3 - 论文

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T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 12 July 2021 through 16 July 2021

ER -

Surveying Green Spaces in European Human Settlements at 30 m Sub-Pixel Level

Abstract

Conference

Keywords

UN SDGs

Access to Document

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