TY - GEN
T1 - The relationship of NDVI and GVI, and the effect of building heights
T2 - 2025 Joint Urban Remote Sensing Event
AU - Voukenas, Alexandros Athanasios
AU - Andronis, Vassilis
AU - Nikitas, Alexandros
AU - Kolokousis, Pol
AU - Bakogiannis, Efthimios
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/7/16
Y1 - 2025/7/16
N2 - Urban green spaces play a crucial role in enhancing the sustainability of cities, making it a necessity for their measurement methods to be precise and reliable. Mapping of urban green has been standardized with multiple data sources, such as the Normalized Difference Vegetation Index (NDVI) derived from satellite imagery, and the Green View Index (GVI), derived from street-level imagery. Both are popular, complementary methods for quantifying urban green. This case study, in Athens, Greece, aims to investigate the strength of their relationship for different resolutions of NDVI. In addition, as NDVI is sensitive to height variations of the imaged area, this relationship was also quantified in terms of the effect of building heights. Results show a strong relationship between the two indices, but not linear. Incorporating building heights into proper models is a method that could support a more comprehensive approach.
AB - Urban green spaces play a crucial role in enhancing the sustainability of cities, making it a necessity for their measurement methods to be precise and reliable. Mapping of urban green has been standardized with multiple data sources, such as the Normalized Difference Vegetation Index (NDVI) derived from satellite imagery, and the Green View Index (GVI), derived from street-level imagery. Both are popular, complementary methods for quantifying urban green. This case study, in Athens, Greece, aims to investigate the strength of their relationship for different resolutions of NDVI. In addition, as NDVI is sensitive to height variations of the imaged area, this relationship was also quantified in terms of the effect of building heights. Results show a strong relationship between the two indices, but not linear. Incorporating building heights into proper models is a method that could support a more comprehensive approach.
KW - building heights
KW - GVI
KW - NDVI
KW - urban green
UR - https://www.scopus.com/pages/publications/105012204398
U2 - 10.1109/JURSE60372.2025.11075976
DO - 10.1109/JURSE60372.2025.11075976
M3 - Conference contribution
AN - SCOPUS:105012204398
SN - 9798350371840
T3 - Joint Urban Remote Sensing Event
BT - 2025 Joint Urban Remote Sensing Event
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 May 2025 through 7 May 2025
ER -
