Testing the Impact of Pansharpening Using PRISMA Hyperspectral Data: A Case Study Classifying Urban Trees in Naples, Italy DOI Creative Commons
Miriam Perretta, Gabriele Delogu, Cassandra Funsten

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3730 - 3730

Published: Oct. 8, 2024

Urban trees support vital ecological functions and help with the mitigation of adaption to climate change. Yet, their monitoring management require significant public resources. remote sensing could facilitate these tasks. Recent hyperspectral satellite programs such as PRISMA have enabled more advanced applications, species classification. However, data’s spatial resolution (30 m) limit its utility in urban areas. Improving data pansharpening using coregistered panchromatic band (spatial 5 solve this problem. This study addresses need improve tests method by classifying exemplative tree Naples (Italy) a convolutional neural network ground truths dataset, aim comparing results from original 30 m refined resolution. An evaluation accuracy metrics shows that improves classification quality dense areas complex topography. In fact, pansharpened led significantly higher for all examined species. Specifically, Pinus pinea Tilia x europaea classes showed an increase 10% 20% F1 scores. Pansharpening is seen practical solution enhance usability environments.

Language: Английский

Determining and Quantifying Urban Sprawl Drivers: A Delphi-DANP Approach DOI Creative Commons
Alì Soltani, Parviz Azizi, Masoud Javadpoor

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 311 - 311

Published: Feb. 2, 2025

Urban sprawl poses a significant and escalating challenge in developing countries, including Iran, leading to substantial transformations urban areas. Despite efforts manage spatial development, uncontrolled exerts considerable pressure on resources, infrastructure, the environment. This study aims identify quantify drivers of investigate their interrelationships within Iranian metropolises. To achieve this objective, employs mixed-method approach, commencing with review existing literature expert surveys based PESTEL analysis Delphi method. stage identified categorized 40 key (sub-factors) into six main categories (factors): political, economic, social, technological, environmental, legal. Subsequently, DEMATEL-based Analytic Network Process (DANP) method is utilized explore internal among factors sub-factors determine relative weights, offering deeper insights relationships importance. The findings reveal complex interplay legal driving Iran. Key include political fragmentation, economic competition, social preferences for suburban living, rural-to-urban migration, increasing housing demand, weak regulations, natural constraints, inadequate transportation impact technological advancements. Based these findings, recommends holistic approach sustainable development emphasizing need stakeholder engagement, participatory decision making, reforms, investments public infrastructure.

Language: Английский

Citations

1
Distance matters: Quantifying the influence of urban land use change and development proximity on land surface temperature in Sari, Iran DOI

Mohsen RoohaniQadikolaei,

Fatemeh RoohaniQadikolaei,

Alì Soltani

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113386 - 113386

Published: April 18, 2025

Language: Английский

Citations

0
Balancing Urban Growth and Environmental Change: Land Use Patterns in Tehran and Sydney DOI Creative Commons
Alireza Dehghani, Alì Soltani,

Kobra Nateghi

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100691 - 100691

Published: April 1, 2025

Language: Английский

Citations

0
Volumetric urban Sprawl: Horizontal and vertical growth in two metropolitans DOI Creative Commons
Alì Soltani, Parviz Azizi,

Aliasghar Rahimioun

et al.

Journal of Urban Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Testing the Impact of Pansharpening Using PRISMA Hyperspectral Data: A Case Study Classifying Urban Trees in Naples, Italy DOI Creative Commons
Miriam Perretta, Gabriele Delogu, Cassandra Funsten

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(19), P. 3730 - 3730

Published: Oct. 8, 2024

Urban trees support vital ecological functions and help with the mitigation of adaption to climate change. Yet, their monitoring management require significant public resources. remote sensing could facilitate these tasks. Recent hyperspectral satellite programs such as PRISMA have enabled more advanced applications, species classification. However, data’s spatial resolution (30 m) limit its utility in urban areas. Improving data pansharpening using coregistered panchromatic band (spatial 5 solve this problem. This study addresses need improve tests method by classifying exemplative tree Naples (Italy) a convolutional neural network ground truths dataset, aim comparing results from original 30 m refined resolution. An evaluation accuracy metrics shows that improves classification quality dense areas complex topography. In fact, pansharpened led significantly higher for all examined species. Specifically, Pinus pinea Tilia x europaea classes showed an increase 10% 20% F1 scores. Pansharpening is seen practical solution enhance usability environments.

Language: Английский

Citations

2