Version 1
: Received: 23 May 2024 / Approved: 24 May 2024 / Online: 24 May 2024 (10:17:08 CEST)
How to cite:
Bielecki, A.; Będkowski, K. Determining the Urgency of Greening by Estimating the Amount of Greenery Resources in the Place of Residence. Preprints2024, 2024051598. https://doi.org/10.20944/preprints202405.1598.v1
Bielecki, A.; Będkowski, K. Determining the Urgency of Greening by Estimating the Amount of Greenery Resources in the Place of Residence. Preprints 2024, 2024051598. https://doi.org/10.20944/preprints202405.1598.v1
Bielecki, A.; Będkowski, K. Determining the Urgency of Greening by Estimating the Amount of Greenery Resources in the Place of Residence. Preprints2024, 2024051598. https://doi.org/10.20944/preprints202405.1598.v1
APA Style
Bielecki, A., & Będkowski, K. (2024). Determining the Urgency of Greening by Estimating the Amount of Greenery Resources in the Place of Residence. Preprints. https://doi.org/10.20944/preprints202405.1598.v1
Chicago/Turabian Style
Bielecki, A. and Krzysztof Będkowski. 2024 "Determining the Urgency of Greening by Estimating the Amount of Greenery Resources in the Place of Residence" Preprints. https://doi.org/10.20944/preprints202405.1598.v1
Abstract
Areas covered with vegetation play a key role for life on Earth and should be inventoried in a clear and complete manner in order to improve the process of its protection and development. Data showing the amount of greenery in areas most deformed by humans, i.e. urbanized areas, are particularly important. Local governments need to know how to invest theirs limited sources in the quality of life of residents by supplementing the urban fabric with additional vegetation. The article presents a proposal for how to calculate the degree of greenness of cities based on remote sensing data. Additionally, a novel method was proposed to help in planning the development of areas covered with vegetation, taking into account the spatial distribution of the local population. The result was a comprehensive method presenting the actual natural situation in a specific city.
Keywords
greenery; remote sensing; LiDAR; formula
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
