Accuracy of determining specific parameters of the urban forest using remote sensing

Ciesielski, Mariusz; Stereńczak, Krzysztof

doi:10.3832/ifor3024-012

Cited by 20 publications

(7 citation statements)

References 81 publications

(121 reference statements)

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“…Urban trees provide citizens with multiple benefits, such as cooling the air temperature, purifying air from pollutants, regulating water flow, also they are improving the mental health of citizens, which makes it important to have information about such trees on an individual level, forest inventory (Mcroberts and Tomppo, 2007;Ciesielski and Sterenczak, 2019). Diameter at Breast Height (DBH) is a critical tree parameter within urban forest inventory, due to the high correlation with height, volume, or forest biomass.…”

Section: Introductionmentioning

confidence: 99%

“…Manual forest inventory is costly and time-consuming. This demands sustainable alternative methods, such as Remote Sensing (RS) methods, to derive DBH, as well as other tree parameters (Ciesielski and Sterenczak, 2019;Shahtahmassebi et al, 2021). Terrestrial Laser Scanning (TLS) is considered to be one of the most accurate terrestrial RS methods for detailed measurements of a forest plot (Liang and Hyyppä , 2013;Liang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Ipad Pro 2020 Lidar for Estimating Tree Diameters in Urban Forest

Wang

Singh

Pervysheva

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Remote Sensing (RS) techniques are increasingly used in urban tree inventory measurements for their improved accuracy and promptness over the conventional methods. The focus of this study is to evaluate the application of iPad Pro 2020 and its LiDAR sensor for urban trees reconstruction and Diameter at Breast Height (DBH) measurements. Altogether, 101 trees were scanned. We have used individual- and multiple-tree scan modes with different settings (Resolution: 10 mm, 15 mm, 20 mm; Confidence: High, Low). With these methods and settings, we have established 12 combinations. The 3DScannerAPP was used to scan and generate point clouds and to estimate DBH circle-fitting algorithm was used within the DendroCloud software. Among 12 methods, the only method with 10 mm resolution, high confidence, and multiple-tree mode has not achieved a 100% detection rate (97%). For multiple-tree mode, the highest estimation accuracy was 7.52% of relative RMSE, and for single-tree mode, it was 7.27%. Low confidence setting had significantly higher accuracy of DBH estimation than high confidence. Furthermore, single-tree mode had a significantly higher accuracy of DBH estimation than multiple-tree mode. The most efficient combination for DBH estimation of urban trees using 3DScannerAPP within iPad Pro 2020, when time and accuracy is considered, was multiple-tree mode with 15 mm resolution and low confidence.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Ipad Pro 2020 Lidar for Estimating Tree Diameters in Urban Forest

Wang

Singh

Pervysheva

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…As reflected by many researchers worldwide [8][9][10][11][12][13][14][17][18][19]26,30,31], urban green spaces--as complex formations consisting of both abiotic and biotic factors, which provide a unique set of ecosystem services for residents--should be analyzed on different levels and at different angles. This is why, in this research, as we were trying to estimate the contribution of urban trees to the mitigation of the heat impacts in the city, we built the work in a downscaling format, from the city level down to an individual tree level; we also employed different methods and data sources to get a full understanding of the processes taking place in Kyiv's residential courtyards.…”

Section: Resultsmentioning

confidence: 99%

“…According to various sources [29][30][31], an effective inventory of urban green infrastructure, among other things, contributes to the following lines of activity:…”

Section: Introductionmentioning

confidence: 99%

Urban Green Infrastructure Inventory as a Key Prerequisite to Sustainable Cities in Ukraine under Extreme Heat Events

Khalaim

Zabarna²,

Kazantsev

et al. 2021

Sustainability

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The frequency of extreme heat effects has recently increased in European cities due to climate change. The problem appears to be critical in urban areas where manmade structures significantly alter the temperature balance, thus highlighting the importance of sustainable management and proper inventory of urban green zones. Based on this, the paper provides a case study on using a combination of open-access and low-cost urban greenery inventory methods that could be used by municipal governments and private land managers to estimate the contribution of urban trees to the mitigation of urban heat impacts. The research focuses on the urban greenery inventory of courtyards in high-rise residential districts of the city of Kyiv (Ukraine), aiming to estimate the adapting potential of urban vegetation against heatwaves. Visual and thermal satellite images of Kyiv enabled us to estimate how the density of buildings and greenery is distributed and analyze the surface temperature in residential districts. A UAV thermal imaging survey was made in four selected locations with varying vegetation coverage, followed by leaf-based field instrumental analysis of photosynthetic activity in selected city tree species at hot temperatures. In addition, 16 portable temperature and humidity sensors were installed in shaded and sunlight-exposed areas of the locations in focus to assess the microclimate formation impact of trees in a high-rise residential courtyard. The Ukrainian legislation on the management of green spaces in cities was reviewed to find out whether it promotes the shaping of comfortable microclimates in residential districts; follow-up recommendations were made on how to improve the applicable provisions.

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“…Trees are some of the most important elements in urban areas due to the ecosystem services (ES) they provide, and they often play a critical role in urban environmental management [1,2]. Currently, urban forests, such as greenery inside urban areas [3][4][5][6][7] (i.e., individual street trees, parks, connector areas, and wetlands), are the main sources of ES for more than 50% of people in the world who live in cities [8][9][10][11]. Given the expected percentage rise-up to 68% of people living in urban areas in the next 30 years-it is critical that existing urban forest areas expand and are nurtured [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Remotely Sensed Tree Characterization in Urban Areas: A Review

et al. 2021

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Urban trees and forests provide multiple ecosystem services (ES), including temperature regulation, carbon sequestration, and biodiversity. Interest in ES has increased amongst policymakers, scientists, and citizens given the extent and growth of urbanized areas globally. However, the methods and techniques used to properly assess biodiversity and ES provided by vegetation in urban environments, at large scales, are insufficient. Individual tree identification and characterization are some of the most critical issues used to evaluate urban biodiversity and ES, given the complex spatial distribution of vegetation in urban areas and the scarcity or complete lack of systematized urban tree inventories at large scales, e.g., at the regional or national levels. This often limits our knowledge on their contributions toward shaping biodiversity and ES in urban areas worldwide. This paper provides an analysis of the state-of-the-art studies and was carried out based on a systematic review of 48 scientific papers published during the last five years (2016–2020), related to urban tree and greenery characterization, remote sensing techniques for tree identification, processing methods, and data analysis to classify and segment trees. In particular, we focused on urban tree and forest characterization using remotely sensed data and identified frontiers in scientific knowledge that may be expanded with new developments in the near future. We found advantages and limitations associated with both data sources and processing methods, from which we drew recommendations for further development of tree inventory and characterization in urban forestry science. Finally, a critical discussion on the current state of the methods, as well as on the challenges and directions for future research, is presented.

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Accuracy of determining specific parameters of the urban forest using remote sensing

Cited by 20 publications

References 81 publications

Evaluation of Ipad Pro 2020 Lidar for Estimating Tree Diameters in Urban Forest

Evaluation of Ipad Pro 2020 Lidar for Estimating Tree Diameters in Urban Forest

Urban Green Infrastructure Inventory as a Key Prerequisite to Sustainable Cities in Ukraine under Extreme Heat Events

Remotely Sensed Tree Characterization in Urban Areas: A Review

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