Mohammad Javad Taheri Sarteshnizi *1 
, Asghar Fallah1 , Habibollah Ramezani Moziraji2 , Jahangir Mohammadi3
, Asghar Fallah1 , Habibollah Ramezani Moziraji2 , Jahangir Mohammadi3
1- Faculty of Natural Resources, University of Agricultural Sciences and Natural Resources, Sari, Iran
2- Swedish University of Agriculture and Natural Resources, Umeå, Sweden
3- Gorgan University of Agricultural Sciences and Natural Resources, Iran
2- Swedish University of Agriculture and Natural Resources, Umeå, Sweden
3- Gorgan University of Agricultural Sciences and Natural Resources, Iran
Abstract: (126 Views)
Extended Abstract
Introduction and Objective: One of the important components in the field of forest inventory and measurement is the height of trees. Over successive decades, estimating tree height has been a major concern in forest statistics and measurement. The variable of height is used in estimating tree volume, classifying stand productivity, estimating growth rates of trees, and is also one of the important variables in calculating biomass. Another essential characteristic at the individual tree level is canopy diameter. Canopy diameter, in modeling and practical attribute estimation, such as forest canopy cover percentage, leaf area index, and biomass, plays a role. Until now, the devices and tools introduced in forestry science have only been capable of measuring a specific component like tree height, and for measuring canopy diameter, the need for different tools or techniques arises. The approach of this research not only leads to the development and use of software capable of measuring the mentioned components but also enables the recording of inventory in designed forms, the recording of geographic coordinates of tree bases, the storage of images taken from the trees, and ultimately the creation of a data archive from the study area.
Materials and Methods: In this research, the HCP software based on the Android platform was designed and developed according to the devices with the Android operating system and with the Java language. In order to conduct tests and compare the measured height data using Vertex and HCP methods, as well as the measured canopy diameter data using laser meter and HCP, a total of 150 trees from Persian Oak species (Quercus brantii Lindl) were selected and their height and canopy diameter were measured.
Results: The result of the paired t-test at a 95% confidence level indicates no significant difference between the measured heights using the Vertex and HCP methods, as well as no significant difference between the canopy diameter measurements using the laser meter and HCP. The root mean square error was calculated as 0.07 meters for height and 0.065 meters for canopy diameter. The values of the linear correlation coefficient and the index of agreement were reported as 0.999 for both the measured height and canopy diameter from the mentioned methods. The percentage of disagreement was calculated as 1.068 for height and 0.963 for canopy diameter.
Conclusion: Based on the examination of accuracy, precision, and error assessment test results, HCP can be introduced as an alternative method for measuring the height and canopy diameter of trees.
Introduction and Objective: One of the important components in the field of forest inventory and measurement is the height of trees. Over successive decades, estimating tree height has been a major concern in forest statistics and measurement. The variable of height is used in estimating tree volume, classifying stand productivity, estimating growth rates of trees, and is also one of the important variables in calculating biomass. Another essential characteristic at the individual tree level is canopy diameter. Canopy diameter, in modeling and practical attribute estimation, such as forest canopy cover percentage, leaf area index, and biomass, plays a role. Until now, the devices and tools introduced in forestry science have only been capable of measuring a specific component like tree height, and for measuring canopy diameter, the need for different tools or techniques arises. The approach of this research not only leads to the development and use of software capable of measuring the mentioned components but also enables the recording of inventory in designed forms, the recording of geographic coordinates of tree bases, the storage of images taken from the trees, and ultimately the creation of a data archive from the study area.
Materials and Methods: In this research, the HCP software based on the Android platform was designed and developed according to the devices with the Android operating system and with the Java language. In order to conduct tests and compare the measured height data using Vertex and HCP methods, as well as the measured canopy diameter data using laser meter and HCP, a total of 150 trees from Persian Oak species (Quercus brantii Lindl) were selected and their height and canopy diameter were measured.
Results: The result of the paired t-test at a 95% confidence level indicates no significant difference between the measured heights using the Vertex and HCP methods, as well as no significant difference between the canopy diameter measurements using the laser meter and HCP. The root mean square error was calculated as 0.07 meters for height and 0.065 meters for canopy diameter. The values of the linear correlation coefficient and the index of agreement were reported as 0.999 for both the measured height and canopy diameter from the mentioned methods. The percentage of disagreement was calculated as 1.068 for height and 0.963 for canopy diameter.
Conclusion: Based on the examination of accuracy, precision, and error assessment test results, HCP can be introduced as an alternative method for measuring the height and canopy diameter of trees.
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