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      An Integrated Method for Coding Trees, Measuring Tree Diameter, and Estimating Tree Positions

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          Abstract

          Accurately measuring tree diameter at breast height (DBH) and estimating tree positions in a sample plot are important in tree mensuration. The main aims of this paper include (1) developing a new, integrated device that can identify trees using the quick response (QR) code technique to record tree identifications, measure DBH, and estimate tree positions concurrently; (2) designing an innovative algorithm to measure DBH using only two angle sensors, which is simple and can reduce the impact of eccentric stems on DBH measures; and (3) designing an algorithm to estimate the position of the tree by combining ultra-wide band (UWB) technology and altitude sensors, which is based on the received signal strength indication (RSSI) algorithm and quadrilateral localization algorithm. This novel device was applied to measure ten 10 × 10 m square plots of diversified environments and various tree species to test its accuracy. Before measuring a plot, a coded sticker was fixed at a height of 1.3 m on each individual tree stem, and four UWB module anchors were set up at the four corners of the plot. All individual trees’ DBHs and positions within the plot were then measured. Tree DBH, measured using a tree caliper, and the values of tree positions, measured using tape, angle ruler, and inclinometer, were used as the respective reference values for comparison. Across the plots, the decode rate of QR codes was 100%, with an average response time less than two seconds. The DBH values had a bias of 1.89 mm (1.88% in relative terms) and a root mean square error (RMSE) of 5.38 mm (4.53% in relative terms). The tree positions were accurately estimated; the biases on the x-axis and the y-axis of the tree position were −8.55–14.88 cm and −12.07–24.49 cm, respectively, and the corresponding RMSEs were 12.94–33.96 cm and 17.78–28.43 cm. The average error between the estimated and reference distances was 30.06 cm, with a standard deviation of 13.53 cm. The device is cheap and friendly to use in addition to its high accuracy. Although further studies are needed, our method provides a great alternative to conventional tools for improving the efficiency and accuracy of tree mensuration.

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          Detection of Individual Tree Crowns in Airborne Lidar Data

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            Terrestrial laser scanning in forest inventories

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              NLOS identification and mitigation for localization based on UWB experimental data

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                24 December 2019
                January 2020
                : 20
                : 1
                : 144
                Affiliations
                [1 ]Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research of Zhejiang Province, Zhejiang A & F University, Lin’an 311300, Zhejiang, China; Acesunlh@ 123456126.com (L.S.);
                [2 ]School of Information Engineering, Zhejiang A & F University, Lin’an 311300, Zhejiang, China
                [3 ]Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University, Nacogdoches, TX 75962, USA; wengy@ 123456sfasu.edu
                Author notes
                [* ]Correspondence: flming@ 123456zafu.edu.cn ; Tel.: +86-189-6815-6768
                Article
                sensors-20-00144
                10.3390/s20010144
                6982848
                31878327
                367fee7a-11a6-44a0-948c-94ea02f0b039
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 11 November 2019
                : 20 December 2019
                Categories
                Article

                Biomedical engineering
                forest inventory,quick response code technique,ultra-wide band technology,angle sensor

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