Smart City Gnosys
Smart city article details
| Title | Modern Urban Forestry For Modern Cities: Technology Challenges And Opportunities For The Remote Sensing Of Urban Forests |
|---|---|
| ID_Doc | 37762 |
| Authors | Staley D.C. |
| Year | 2022 |
| Published | Arboriculture and Urban Forestry, 48, 2 |
| DOI | http://dx.doi.org/10.48044/jauf.2022.012 |
| Abstract | Background: As human populations urbanize, urban forests in many areas are decreasing in canopy extent due to disruptions on several fronts, including novel pests and diseases, climate change, and changing land uses. Methods: A review of the remote sensing, computing, and environmental literature was performed to provide an overview of current technology capabilities and to detail an agenda for a modern approach to urban forestry challenges. How to prepare current and future professionals to collect and analyze "Big Data," how to implement results, and what communication skills are needed in a modern world to provide resilient urban forests in the connected future were also reviewed. Results: This paper outlines an agenda for how the urban forestry professions can identify, analyze, and manage emergent disruptions to continue to provide urban forest benefits to residents in its shade. Current remote-sensing systems, the paradigm of Big Data, and collection and analysis platforms are discussed, and relevant scenarios are provided to guide insight into managing forests with a rejuvenated perspective using remote-sensing hardware and software. Conclusions: Modern cities will require modern digital urban forestry management, and current and future professionals must be able to access and utilize technology, sensors, and Big Data to effectively perform vegetation management and communication tasks. This paper details the framework for a new era of modern urban forest management in highly connected, resilient cities. © 2022 International Society of Arboriculture. All rights reserved. |
| Author Keywords | Computing; Sensors; Smart Cities; Urban Forest Management. |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
12900  | 0.913 | Neves F.R.; de Aquino A.C.B. | Bringing The Green Into The Screen: Remote Sensing And Smart Green Governance In Urban Forest Management | Internet of Things, Part F4006 (2025) |
| 51842 | 0.897 | Nitoslawski S.A.; Galle N.J.; van den Bosc C.K.; Steenberg J.W.N. | Smarter Ecosystems For Smarter Cities? A Review Of Trends, Technologies, And Turning Points For Smart Urban Forestry | Sustainable Cities and Society, 51 (2019) |
| 36391 | 0.884 | Münzinger M.; Prechtel N.; Behnisch M. | Mapping The Urban Forest In Detail: From Lidar Point Clouds To 3D Tree Models | Urban Forestry and Urban Greening, 74 (2022) |
| 51645 | 0.882 | Srinurak N.; Wonglangka W.; Sukwai J. | Smart Urban Forest Initiative: Nature-Based Solution And People-Centered Approach For Tree Management In Chiang Mai, Thailand | Sustainability (Switzerland), 16, 24 (2024) |
| 47291 | 0.875 | Figueroa-Garcia L.; Soto I.; Zamorano-Illanes R.; Adasme P.; Palacios P.; Gutierrez S. | Satellite-Based Urban Tree Cover Estimation System For Smart City Applications | 2023 South American Conference on Visible Light Communications, SACVLC 2023 (2023) |
| 58165 | 0.87 | Uçar Z.; Akay A.E.; Bilici E. | Towards Green Smart Cities: Importance Of Urban Forestry And Urban Vegetation | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 44, 4/W3 (2020) |
| 60323 | 0.862 | Uciechowska-Grakowicz A.; Herrera-Granados O.; Biernat S.; Bac-Bronowicz J. | Usage Of Airborne Lidar Data And High-Resolution Remote Sensing Images In Implementing The Smart City Concept | Remote Sensing, 15, 24 (2023) |
| 34018 | 0.851 | Shabandri B.; Madara S.R.; Maheshwari P. | Iot-Based Smart Tree Management Solution For Green Cities | Studies in Big Data, 67 (2020) |