Tree height measurement based on image processing embedded in smart mobile phone

Han, Dianyuan; Wang, Chengduan

doi:10.1109/icmt.2011.6002029

Cited by 8 publications

(9 citation statements)

References 1 publication

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“…Previous research on automating the forest inventory process was proposed in [7,8]. However, the methods described in the present paper allow calculating the diameter and the total height, even in cases where the view of the tree is partial.…”

Section: Modern Methods Of Forest Inventory and Methods Proposedmentioning

confidence: 99%

“…Zhang and Huang propose a method to estimate a tree's height from an image, using digital image processing methods [7]. Han and Wang propose a similar method, although applied to a mobile device [8].…”

Section: Tree Measurement From Imagesmentioning

confidence: 99%

“…The proportion transformation method was especially developed to estimate the tree height if the image shows the full tree. It is based on the methods used in [7,8]. The first step of the method is to determine the highest point found in the tree, using image processing methods similar to the ones applied in Section 5.2 for target extraction.…”

Section: Proportion Transformationmentioning

confidence: 99%

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Non-Destructive Fast Estimation of Tree Stem Height and Volume Using Image Processing

et al. 2021

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Measuring biometric tree characteristics to estimate the volume of wood in a forest area is a time consuming task. It is usually performed by a team of two or more people, who measure the diameter and height of several trees in sampling plots. The results are then extrapolated for the forest stand. The present paper describes a method which facilitates estimating tree biometric parameters using computational techniques. A camera takes two pictures of each sample tree, with an especially designed target placed close to the tree, to facilitate image processing and camera calibration steps. Taking advantage of the trees’ natural shape and assuming a symmetric stem, the diameter and height of the tree stems are estimated from the images and the volumes of the tree stems are calculated. Experimental trials show promising results, exhibiting errors similar to the traditional methods used currently, in the range of 10%, showing that the method is suitable for forest inventory.

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Section: Modern Methods Of Forest Inventory and Methods Proposedmentioning

confidence: 99%

Section: Tree Measurement From Imagesmentioning

confidence: 99%

Section: Proportion Transformationmentioning

confidence: 99%

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Non-Destructive Fast Estimation of Tree Stem Height and Volume Using Image Processing

et al. 2021

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“…The height is measured by matching the height of rice against the pre-known height of a bar that was initially installed in the field. Work (Juan & Xin-yuan, 2009), (Dianyuan & Chengduan, 2011) adopted a similar idea for obtaining the height of trees, which is calculated via a proportion transform of the coordinates of three pre-set makers on the tree. The extension to the system was presented in (Dianyuan, 2011), which used three marker points and a perspective transformation.…”

Section: Grass Biomass Estimationmentioning

confidence: 99%

Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation

Li-gang¹,

Verma²,

Stockwell³

et al. 2018

Expert Systems with Applications

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Accurate estimation of the biomass of roadside grasses plays a significant role in applications such as fire-prone region identification. Current solutions heavily depend on field surveys, remote sensing measurements and image processing using reference markers, which often demand big investments of time, effort and cost. This paper proposes Density Weighted Connectivity of Grass Pixels (DWCGP) to automatically estimate grass biomass from roadside image data. The DWCGP calculates the length of continuously connected grass pixels along a vertical orientation in each image column, and then weights the length by the grass density in a surrounding region of the column. Grass pixels are classified using feedforward artificial neural networks and the dominant texture orientation at every pixel is computed using multiorientation Gabor wavelet filter vote. Evaluations on a field survey dataset show that the DWCGP reduces Root-Mean-Square Error from 5.84 to 5.52 by additionally considering grass density on top of grass height. The DWCGP shows robustness to non-vertical grass stems and to changes of both Gabor filter parameters and surrounding region widths. It also has performance close to human observation and higher than eight baseline approaches, as well as promising results for classifying low vs. high fire risk and identifying fire-prone road regions.

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“…The upper canopy layer (Table 1) was distinguished from the lower canopy layer (Table 1) using the Smart Measure function within the Smart Tools Android App (Android Boy 2010). This is a mobile phone application to measure the relative height of trees (Dianyuan and Chengduan 2011). Afterwards, estimates of the percentage cover of each vegetation layer were made (and noted down) from the centre point (if view the view was uninterrupted) or during a walk covering the sample area.…”

Section: Vegetation Layer Expansionmentioning

confidence: 99%

Sustainable drainage system site assessment method using urban ecosystem services

2016

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The United Kingdom's recently updated approach to sustainable drainage enhanced biodiversity and amenity objectives by incorporating the ecosystem approach and the ecosystem services concept. However, cost-effective and reliable methods to appraise the biodiversity and amenity values of potential sustainable drainage system (SuDS) sites and their surrounding areas are still lacking, as is a method to enable designers to distinguish and link the amenity and biodiversity benefits that SuDS schemes can offer. In this paper, therefore, the authors propose two ecosystem services-and disservicesbased methods (i.e. vegetation structure cover-abundance examination and cultural ecosystem services and disservices variables appraisal) to aid SuDS designers to distinguish and link amenity and biodiversity benefits, and allow initial site assessments to be performed in a cost-effective and reliable fashion. Forty-nine representative sites within Greater Manchester were selected to test the two methods. Amenity and biodiversity were successfully assessed and habitat for species, carbon sequestration, recreation and education ecosystem services scores were produced, which will support SuDS retrofit design decision-making. Large vegetated SuDS sites with permanent aquatic features were found to be most capable of enhancing biodiversity-and amenity-related ecosystem services. Habitat for species and recreation ecosystem services were also found to be positively linked to each other. Finally, waste bins on site were found to help reduce dog faeces and litter coverage. Overall, the findings presented here enable future SuDS retrofit designs to be more wildlife friendly and socially inclusive.

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Tree height measurement based on image processing embedded in smart mobile phone

Cited by 8 publications

References 1 publication

Non-Destructive Fast Estimation of Tree Stem Height and Volume Using Image Processing

Non-Destructive Fast Estimation of Tree Stem Height and Volume Using Image Processing

Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation

Sustainable drainage system site assessment method using urban ecosystem services

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