سال انتشار:
2021
عنوان انگلیسی مقاله:
Utilizing LiDAR data to map tree canopy for urban ecosystem extent and condition accounts in Oslo
ترجمه فارسی عنوان مقاله:
با استفاده از داده های LIDAR به نقشه سایبان درخت برای اکوسیستم های شهری و حساب های وضعیت در اسلو
منبع:
ScienceDirect- Elsevier- Ecological Indicators, 130 (2021) 108007: doi:10:1016/j:ecolind:2021:108007
نویسنده:
Frank Hanssen
چکیده انگلیسی:
LiDAR-based segmentation of urban tree canopies and their physical properties (canopy height, canopy diameter,
3D surface and volume) is a replicable, complementary and useful information source for urban ecosystem
condition accounts, and an important basis for ecosystem service modeling and valuation. However, using
available LiDAR data collected for municipal purposes other than vegetation mapping (such as for example
engineering) entails a level of accuracy which may limit the usefulness of the data for change detection in
ecosystem accounts. To account for changes in the urban tree canopy of Oslo (capital city of Norway) between
2011 and 2017, a segmentation model was developed based on available airborne LiDAR data scanned for
general purposes. The results from the entire built-up area of Oslo indicate a general increase in the number of
tall trees (>15 m) and a moderate increase in the number of small trees (<15 m), with the exception of trees
between 6 and 10 m which seem to have a relatively constant development over the given period. The total tree
canopy area within the built-up area increased by 17.15%, with a corresponding 21.35% increase in the tree
canopy volume. The results for the Small House plan area, a policy focus area subject to urban densification and
special regulations for felling of large trees, indicate a large increase in small trees (<10 m) and a moderate
decrease in tall trees (>10 m). The total tree canopy area within the Small House plan area decreased by 1.04%,
with a corresponding 2.13% decrease in the tree canopy volume. With respect to the segmentation accuracy, the
changes in aggregate tree canopy cover are too small to determine canopy change with confidence. This study
demonstrates the potential for identifying ecosystem condition indicators as well as the limitations of using
general purpose LiDAR data to improve the precision of urban ecosystem accounting. For future ecosystem
service accounting in urban environments, we recommend that municipalities implement data acquisition programs that combine concurrent field data sampling and LiDAR campaigns designed for urban tree canopy
detection, as part of general urban structural inventorying. We recommend using LiDAR and satellite remote
sensing data depending on canopy densities. We also recommend that future tree canopy segmentation is done
within a cloud-computing environment to ensure sufficient geoprocessing capacity.
keywords: تشخیص نور و محدوده (LIDAR) | سیستم های اطلاعات جغرافیایی (GIS) | سنجش از راه دور | حسابداری اکوسیستم | خدمات محیط زیستی | تقسیم بندی سایبان درخت | Light Detection And Ranging (LiDAR) | Geographical Information Systems (GIS) | Remote sensing | Ecosystem accounting | Ecosystem services | Tree canopy segmentation
قیمت: رایگان
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