Estimation of forest stand volume, tree density and biodiversity using Landsat ETM+Data, comparison of linear and regression tree analyses

Mohammadi, Shaban; Shataee, Shaban; Babanezhad, Manoocher

doi:10.1016/j.proenv.2011.07.052

Cited by 26 publications

(14 citation statements)

References 26 publications

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“…Besides, the study area selected for the T. grandis were incorporated under a single agro-climatic zone in respective of the tree species. The similar technique of multiple linear regression models was used by Mohammadi et al (2011) to estimate the forest stand volume and tree density. By using the biometric attributes, carbon yield model for T. grandis plantations of Cauvery delta zone was constructed using multiple linear regression, Y = -113.001 + 2.8616X 1 -3.6946X 2 + 1245.813X 3 Tree diameter, tree height and age of the T. grandis trees were selected as the independent explanatory variables to predict the dependent variable of carbon.…”

Section: Carbon Yield Model and Carbon Yield Table For T Grandismentioning

confidence: 99%

Carbon Estimation and Carbon Yield Table for Teak (Tectona Grandis) at Cauvery Delta Zone of Tamil Nadu

Balasubramanian¹,

Hari-Prasath²,

Radhakrishnan³

et al. 2022

JTFS

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Teak plantations are generally managed for timber production and presently there is an increasing interest in understanding the carbon stocks of Teak plantation. A study was developed on carbon yield table for Teak in Cauvery delta zone of Tamil Nadu, India and field data was taken from 15 sample plots of 30 m × 30 m size in different age classes, for instance 4-5 years, 7-8 years, 12-13 years, 15-16 years, 18-19 years, 23-24 years, 40-41 years and 46-47 years, respectively. Tree height and diameter of 2 meter segments from ground level to top height were measured and the average merchantable volume of 1.246 m 3 and carbon content of 373.80 kg were recorded in the age class of 46-47 years. The carbon model constructed for Tectona grandis using multiple linear regression was Y = -113.001+2.8616(Age)-3.6946(Total height)+1245.813(Diameter). The carbon yield table was constructed using the age class, top height class and diameter class. The overall observation of the study concluded that, the best fit carbon yield models were developed for T. grandis with 91 per cent accuracy by comparing actual carbon stock and predicted carbon stock.

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Section: Carbon Yield Model and Carbon Yield Table For T Grandismentioning

confidence: 99%

Carbon Estimation and Carbon Yield Table for Teak (Tectona Grandis) at Cauvery Delta Zone of Tamil Nadu

Balasubramanian¹,

Hari-Prasath²,

Radhakrishnan³

et al. 2022

JTFS

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“…The precision and cost of estimating sample tree volume is improved by variance reduction using the knowledge contained in taper functions (Li and Weisktteli, 2010). Basically, there is always a sectional area and cumulative volume at any height up the tree since the taper model predicts the tree's shape (Mohammadia et al 2011;Weiskittel, 2010). A sample height on the tree is selected and the bole measured.…”

Section: Variationmentioning

confidence: 99%

Comparative Study on Volume Estimation Using a Model with one and Model with two Independent Variables in Meru/USA Forest Plantation, Northern Tanzania

Likingurainey¹,

Kayombo

Kashindye

2020

East Afr. j. for. agrofor.

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Worldwide, the management of forests has been known to rely on the determination of the size of tree stands. The size of tree stands is determined based on dimensions that include the diameter and the marketable height through the volume equation. The volume is often evaluated from the diameter. It can however also be measured directly on felled trees or logs. It is difficult to obtain the volume for the stand trees directly, so, models were developed to tackle the situation based on standing trees’ variables like diameter and height in order to simplify volume estimation because it is more closetful and difficult to measure direct volumes for standing trees. The general objective of this study was to estimate trees’ volume using one and two independent variables. Systematic sampling was used to allocate the plots on which the diameters of the trees were measured, and counted for the number of individuals (trees stems). The Relascope was used to assign the trees to be considered in the set plot while a diameter tape measure was used for diameter (DBH) measurements and the already measured trees were marked (using marker pens, paints and chalk). Data recording sheets and a handheld GPS were used for recording coordinates. The study findings revealed that having a model with two independent variables; DBH and height(H) is more accurate compared to the model with one independent variable.

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“…Post-fire management decisions and restoration actions taken by forestry managers are largely context-dependent (Taboada et al, 2017) because post-fire vegetation recovery depends on pre-fire vegetation community composition, fire regime and climatic factors of each specific site across large spatial scales (Puig-Gironès et al, 2017). The search for new tools that may facilitate decision-making and reduce field data gathering efforts in forest management has been one of the most important aspects in recent years (Wulder et al, 2005;Mohammadi et al, 2011;Meng et al, 2016), since most of management decisions require accurate data at short-term to be applied (Schmidt et al, 2018). For that reason, these tools should allow the transfer of predictive relations from the information obtained in different geographical or climatic contexts (Foody et al, 2003;Cutler et al, 2012).…”

Section: Post-fire Vegetation Recovery Tools: Importance Of Spectral and Textural Featuresmentioning

confidence: 99%

Efficiency of remote sensing tools for post-fire management along a climatic gradient

Fernández‐Guisuraga

Calvo

Marcos-Porras

et al. 2019

Forest Ecology and Management

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Forest managers require reliable tools to evaluate post-fire recovery across different geographic/climatic contexts and define management actions at the landscape scale, which might be highly resource-consuming in terms of data collection. In this sense, remote sensing techniques allow for gathering environmental data over large areas with low collection effort. We aim to assess the applicability of remote sensing tools in post-fire management within and across three mega-fires that occurred in pine fire-prone ecosystems located along an Atlantic-Transition-Mediterranean climatic gradient. Four years after the wildfires, we established 120 2x2m plots in each mega-fire site, where we evaluated: (1) density of pine seedlings, (2) percentage of woody species cover and (3) percentage of dead plant material cover. These variables were modeled following a Bayesian Model Averaging approach on the basis of spectral indices and texture features derived from WorldView-2 satellite imagery at 2 m spatial resolution. We assessed model interpolation and transferability within each mega-fire, as well as model extrapolation between mega-fires along the climatic gradient. Texture features were the predictors that contributed most in all cases. The woody species cover model had the best performance regarding spatial interpolation and transferability within the three study sites, with predictive errors lower than 25% for the two approaches. Model extrapolation between the Transition and Mediterranean sites had low levels of error (from 6% to 19%) for the three field variables, because the landscape in these areas is similar in structure and function and, therefore, in spectral characteristics. However, model extrapolation from the Atlantic site achieved the weakest results (error higher than 30%), due to the large ecological differences between this particular site and the others. This study demonstrates the potential of fine-grained satellite imagery for land managers to conduct post-fire recovery studies with a high degree of generality across different geographic/climatic contexts.

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Estimation of forest stand volume, tree density and biodiversity using Landsat ETM+Data, comparison of linear and regression tree analyses

Cited by 26 publications

References 26 publications

Carbon Estimation and Carbon Yield Table for Teak (Tectona Grandis) at Cauvery Delta Zone of Tamil Nadu

Carbon Estimation and Carbon Yield Table for Teak (Tectona Grandis) at Cauvery Delta Zone of Tamil Nadu

Comparative Study on Volume Estimation Using a Model with one and Model with two Independent Variables in Meru/USA Forest Plantation, Northern Tanzania

Efficiency of remote sensing tools for post-fire management along a climatic gradient

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