Evaluating Urban Green Spaces Using UAV-Based Green Leaf Index

Şeyma Akça

Makale detayları

Evaluating Urban Green Spaces Using UAV-Based Green Leaf Index

Yazarlar:

Şeyma Akça

Yayıncı:

Mersin University

Ana Başlıklar:

Photogrammetry and Remote Sensing

Dergi:

Mersin Photogrammetry Journal Vol.6 Issue 2, pp.52-59

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001337774

pISSN:

2687-654X

Anahtar kelimeler:

Özet:

 This study evaluates the urban green spaces at Harran Universitys Osmanbey Campus using UAV technology and the Green Leaf Index GLI. By employing Structure-from-Motion SfM photogrammetry, a highly detailed orthophoto of the campus was generated, while the GLI helped to identify and measure the green areas accurately. The analysis revealed that the Total Green Space Area on the campus is 8.8 hectares, within a Total Urban Area of 46.4 hectares. This results in a Green Space Ratio GSR of 18.97. This percentage indicates that nearly 19 of the campus urban area is covered by green spaces, which represents a moderate yet meaningful level of vegetation that enhances the environmental quality and overall well-being of the campus community. The findings underscore the value of incorporating UAV-based metrics into urban green space assessments and suggest that increasing the GSR to around or above 20 could provide even greater ecological and social benefits.

 This study evaluates the urban green spaces at Harran Universitys Osmanbey Campus using UAV technology and the Green Leaf Index GLI. By employing Structure-from-Motion SfM photogrammetry, a highly detailed orthophoto of the campus was generated, while the GLI helped to identify and measure the green areas accurately. The analysis revealed that the Total Green Space Area on the campus is 8.8 hectares, within a Total Urban Area of 46.4 hectares. This results in a Green Space Ratio GSR of 18.97. This percentage indicates that nearly 19 of the campus urban area is covered by green spaces, which represents a moderate yet meaningful level of vegetation that enhances the environmental quality and overall well-being of the campus community. The findings underscore the value of incorporating UAV-based metrics into urban green space assessments and suggest that increasing the GSR to around or above 20 could provide even greater ecological and social benefits.

 This study evaluates the urban green spaces at Harran Universitys Osmanbey Campus using UAV technology and the Green Leaf Index GLI. By employing Structure-from-Motion SfM photogrammetry, a highly detailed orthophoto of the campus was generated, while the GLI helped to identify and measure the green areas accurately. The analysis revealed that the Total Green Space Area on the campus is 8.8 hectares, within a Total Urban Area of 46.4 hectares. This results in a Green Space Ratio GSR of 18.97. This percentage indicates that nearly 19 of the campus urban area is covered by green spaces, which represents a moderate yet meaningful level of vegetation that enhances the environmental quality and overall well-being of the campus community. The findings underscore the value of incorporating UAV-based metrics into urban green space assessments and suggest that increasing the GSR to around or above 20 could provide even greater ecological and social benefits.

 This study evaluates the urban green spaces at Harran Universitys Osmanbey Campus using UAV technology and the Green Leaf Index GLI. By employing Structure-from-Motion SfM photogrammetry, a highly detailed orthophoto of the campus was generated, while the GLI helped to identify and measure the green areas accurately. The analysis revealed that the Total Green Space Area on the campus is 8.8 hectares, within a Total Urban Area of 46.4 hectares. This results in a Green Space Ratio GSR of 18.97. This percentage indicates that nearly 19 of the campus urban area is covered by green spaces, which represents a moderate yet meaningful level of vegetation that enhances the environmental quality and overall well-being of the campus community. The findings underscore the value of incorporating UAV-based metrics into urban green space assessments and suggest that increasing the GSR to around or above 20 could provide even greater ecological and social benefits.

Makale detayları

Evaluating Urban Green Spaces Using UAV-Based Green Leaf Index

Yazarlar: Şeyma Akça

Yayıncı: Mersin University

Ana Başlıklar: Photogrammetry and Remote Sensing

Dergi: Mersin Photogrammetry Journal Vol.6 Issue 2, pp.52-59

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001337774

pISSN: 2687-654X

UAV

Photogrammetry

Green Space Ratio

GLI

Sayı

Yazarlar:

Şeyma Akça

Yayıncı:

Mersin University

Ana Başlıklar:

Photogrammetry and Remote Sensing

Dergi:

Mersin Photogrammetry Journal Vol.6 Issue 2, pp.52-59

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001337774

pISSN:

2687-654X