Using the bootstrap approach for comparing statistical modeling methods to estimate remotely-sensed aboveground biomass in Zagros forests

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SAFARI AMIR; SOHRABI HORMOZ

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Journal: Journal of RS and GIS for Natural Resources Year:2020 | Volume:11 | Issue:2 (39) Page(s): 49-67

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Title

Using the bootstrap approach for comparing statistical modeling methods to estimate remotely-sensed aboveground biomass in Zagros forests

Author(s)

SAFARI AMIR | SOHRABI HORMOZ | Issue Writer Certificate

Keywords

Aboveground biomassQ1

BootstrapQ1

Statistical modelingQ1

Zagros forestQ1

Landsat 8Q2

Abstract

Background and Objective Considering the increasing importance of forest ecosystems in climate change mitigation projects, reliable and cost-effective methods are required to estimate the Aboveground biomass (AGB). Common methods used to estimate the Aboveground biomass (AGB) include in-situ measurement, the biomass calculation using aalometric equations and using remote sensing techniques. Remote sensing has been widely used to estimate the biomass of forests in recent decades. The used Statistical modeling method is one of the most important factors to use remotely-sensed data for estimation of the Aboveground biomass. A large number of researches have been carried out about using the modeling methods. However, these studies face the following different challenges: 1) no modeling method has been recommended as the best method 2) the performence of these modeling methods is affected by forest type, the forest structure, and the present disturbance intensity 3) the performance evaluation and the comparion of the results of these methods were done by using goodness-of-fit test and cross-validation methods...

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APA: Copy

SAFARI, AMIR, & SOHRABI, HORMOZ. (2020). Using the bootstrap approach for comparing statistical modeling methods to estimate remotely-sensed aboveground biomass in Zagros forests. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 11(2 (39) ), 49-67. SID. https://sid.ir/paper/360533/en

Vancouver: Copy

SAFARI AMIR, SOHRABI HORMOZ. Using the bootstrap approach for comparing statistical modeling methods to estimate remotely-sensed aboveground biomass in Zagros forests. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2020;11(2 (39) ):49-67. Available from: https://sid.ir/paper/360533/en

IEEE: Copy

AMIR SAFARI, and HORMOZ SOHRABI, “Using the bootstrap approach for comparing statistical modeling methods to estimate remotely-sensed aboveground biomass in Zagros forests,” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 11, no. 2 (39) , pp. 49–67, 2020, [Online]. Available: https://sid.ir/paper/360533/en

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