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Currently, the worsening impacts of urbanizations have been impelled to the importance of monitoring and management of existing urban trees, securing sustainable use of the available green spaces. Urban tree species identification and evaluation of their roles in atmospheric Carbon Stock (CS) are still among the prime concerns for city planners regarding initiating a convenient and easily adaptive urban green planning and management system. A detailed methodology on the urban tree carbon stock calibration and mapping was conducted in the urban area of Brussels, Belgium. A comparative analysis of the mapping outcomes was assessed to define the convenience and efficiency of two different remote sensing data sources, Light Detection and Ranging (LiDAR) and WorldView-3 (WV-3), in a unique urban area. The mapping results were validated against field estimated carbon stocks. At the initial stage, dominant tree species were identified and classified using the high-resolution WorldView3 image, leading to the final carbon stock mapping based on the dominant species. An object-based image analysis approach was employed to attain an overall accuracy (OA) of 71% during the classification of the dominant species. The field estimations of carbon stock for each plot were done utilizing an allometric model based on the field tree dendrometric data. Later based on the correlation among the field data and the variables (i.e., Normalized Difference Vegetation Index, NDVI and Crown Height Model, CHM) extracted from the available remote sensing data, the carbon stock mapping and validation had been done in a GIS environment. The calibrated NDVI and CHM had been used to compute possible carbon stock in either case of the WV-3 image and LiDAR data, respectively. A comparative discussion has been introduced to bring out the issues, especially for the developing countries, where WV-3 data could be a better solution over the hardly available LiDAR data. This study could assist city planners in understanding and deciding the applicability of remote sensing data sources based on their availability and the level of expediency, ensuring a sustainable urban green management system.
Abdul Mueed Choudhury; Ernesto Marcheggiani; Andrea Galli; Giuseppe Modica; Ben Somers. Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data. Forests 2021, 12, 692 .
AMA StyleAbdul Mueed Choudhury, Ernesto Marcheggiani, Andrea Galli, Giuseppe Modica, Ben Somers. Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data. Forests. 2021; 12 (6):692.
Chicago/Turabian StyleAbdul Mueed Choudhury; Ernesto Marcheggiani; Andrea Galli; Giuseppe Modica; Ben Somers. 2021. "Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data." Forests 12, no. 6: 692.
Recently, the severe intensification of atmospheric carbon has highlighted the importance of urban tree contributions in atmospheric carbon mitigations in city areas considering sustainable urban green planning and management systems. Explicit and timely information on urban trees and their roles in the atmospheric Carbon Stock (CS) are essential for policymakers to take immediate actions to ameliorate the effects of deforestation and their worsening outcomes. In this study, a detailed methodology for urban tree CS calibration and mapping was developed for the small urban area of Sassuolo in Italy. For dominant tree species classification, a remote sensing approach was applied, utilizing a high-resolution WV3 image. Five dominant species were identified and classified by applying the Object-Based Image Analysis (OBIA) approach with an overall accuracy of 78%. The CS calibration was done by utilizing an allometric model based on the field data of tree dendrometry—i.e., Height (H) and Diameter at Breast Height (DBH). For geometric measurements, a terrestrial photogrammetric approach known as Structure-from-Motion (SfM) was utilized. Out of 22 randomly selected sample plots of 100 square meters (10 m × 10 m) each, seven plots were utilized to validate the results of the CS calibration and mapping. In this study, CS mapping was done in an efficient and convenient way, highlighting higher CS and lower CS zones while recognizing the dominant tree species contributions. This study will help city planners initiate CS mapping and predict the possible CS for larger urban regions to ensure a sustainable urban green management system.
Abdul Mueed Choudhury; Ernesto Marcheggiani; Francesca Despini; Sofia Costanzini; Paolo Rossi; Andrea Galli; Sergio Teggi. Urban Tree Species Identification and Carbon Stock Mapping for Urban Green Planning and Management. Forests 2020, 11, 1226 .
AMA StyleAbdul Mueed Choudhury, Ernesto Marcheggiani, Francesca Despini, Sofia Costanzini, Paolo Rossi, Andrea Galli, Sergio Teggi. Urban Tree Species Identification and Carbon Stock Mapping for Urban Green Planning and Management. Forests. 2020; 11 (11):1226.
Chicago/Turabian StyleAbdul Mueed Choudhury; Ernesto Marcheggiani; Francesca Despini; Sofia Costanzini; Paolo Rossi; Andrea Galli; Sergio Teggi. 2020. "Urban Tree Species Identification and Carbon Stock Mapping for Urban Green Planning and Management." Forests 11, no. 11: 1226.
This article reinterprets open space as the theatre of adaptive regimes in the interfering wakes of two major waves of transformation: the agricultural and the urban transformation. The aim of the wave regime concept is to accommodate traditional and emerging land uses in a logical scheme of co-existing regimes separated by transition waves in space and time. Each wave corresponds to a transitional stage from one set to another set of value regime, which by the agents of the transformation is interpreted as a major value increase. The current struggle for space and the difficult interpretations of quality and sustainability can be explained as expressions of competition between value regimes. These value regimes tend to be driven and perpetuated by customary paradigms of land-use planning and management (urban planning, ecology, agronomy, etc.). Land-use sectors ask for rather unambiguous definitions and clear use rights of land use categories and zoning, leaving limited possibility for interaction, mixed regimes and innovative multifunctional land-use. New service demands, new sustainability and resilience urgencies challenge these customary land-use planning paradigms and their rules and instruments. This paper acknowledges a third wave and consequent fourth regime. This regime seeks overall increased sustainability and resilience in open spaces, stressing the strategic importance of unsealed soils and other life conditioning substrates. Different existing land-use models, such as “transition towns”, “agroforestry” and many more, can be interpreted as fourth regime examples, but altogether there is a need for more coordination or integration to turn the third wave concept into a real “wave”. A specific target is to scan territories for characteristics and values according to the prevailing regimes, and assess each unit in terms of third wave transition opportunities, even within active uses that may be at odds with customary rules and expectations. This is illustrated for cases of illegal intake of farmland for non-agricultural activities and for domestic gardens as a missing category in customary rural and land use policy.
Hubert Gulinck; Ernesto Marcheggiani; Anna Verhoeve; Kirsten Bomans; Valerie Dewaelheyns; Frederik Lerouge; Andrea Galli. The Fourth Regime of Open Space. Sustainability 2018, 10, 2143 .
AMA StyleHubert Gulinck, Ernesto Marcheggiani, Anna Verhoeve, Kirsten Bomans, Valerie Dewaelheyns, Frederik Lerouge, Andrea Galli. The Fourth Regime of Open Space. Sustainability. 2018; 10 (7):2143.
Chicago/Turabian StyleHubert Gulinck; Ernesto Marcheggiani; Anna Verhoeve; Kirsten Bomans; Valerie Dewaelheyns; Frederik Lerouge; Andrea Galli. 2018. "The Fourth Regime of Open Space." Sustainability 10, no. 7: 2143.
Analysis of flows such as human movement can help spatial planners better understand territorial patterns in urban environments. In this paper, we describe FlowSampler, an interactive visual interface designed for spatial planners to gather, extract and analyse human flows in geolocated social media data. Our system adopts a graph-based approach to infer movement pathways from spatial point type data and expresses the resulting information through multiple linked multiple visualisations to support data exploration. We describe two use cases to demonstrate the functionality of our system and characterise how spatial planners utilise it to address analytical task.
Alvin Chua; Ernesto Marcheggiani; Loris Servillo; Andrew Vande Moere. FlowSampler: Visual Analysis of Urban Flows in Geolocated Social Media Data. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 8852, 5 -17.
AMA StyleAlvin Chua, Ernesto Marcheggiani, Loris Servillo, Andrew Vande Moere. FlowSampler: Visual Analysis of Urban Flows in Geolocated Social Media Data. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; 8852 ():5-17.
Chicago/Turabian StyleAlvin Chua; Ernesto Marcheggiani; Loris Servillo; Andrew Vande Moere. 2015. "FlowSampler: Visual Analysis of Urban Flows in Geolocated Social Media Data." Transactions on Petri Nets and Other Models of Concurrency XV 8852, no. : 5-17.
Over the last decade the need for public bodies to characterise the vitality and degree of sustainability of their territories is well acknowledged. Still it remains unclear how to integrate the different categories of values of our daily life places in a comprehensive way in order to develop appropriate and well balanced policies. An experimental case has been designed to provide novel sets of indicators by integrating information extracted from custom maps, spatial descriptors of land use and land cover and socio-economic indicators. In order to fully grasp the character of a living place, the nuances of less tangible aspects should be also understood. To do so, the results developed during first steps have been subsequently refined by incorporating relevant volunteering geographical information available on Google Earth® platform.
Ernesto Marcheggiani; Andrea Galli; Hubert Gulinck. The Characterisation of “Living” Landscapes: The Role of Mixed Descriptors and Volunteering Geographic Information. Transactions on Petri Nets and Other Models of Concurrency XV 2011, 6782, 369 -380.
AMA StyleErnesto Marcheggiani, Andrea Galli, Hubert Gulinck. The Characterisation of “Living” Landscapes: The Role of Mixed Descriptors and Volunteering Geographic Information. Transactions on Petri Nets and Other Models of Concurrency XV. 2011; 6782 ():369-380.
Chicago/Turabian StyleErnesto Marcheggiani; Andrea Galli; Hubert Gulinck. 2011. "The Characterisation of “Living” Landscapes: The Role of Mixed Descriptors and Volunteering Geographic Information." Transactions on Petri Nets and Other Models of Concurrency XV 6782, no. : 369-380.