Optimization of Samples for Remote Sensing Estimation of Forest Aboveground Biomass at the Regional Scale

Optimization of Samples for Remote Sensing Estimation of Forest Aboveground Biomass at the Regional Scale

Accurately estimating forest aboveground biomass (AGB) based on remote sensing (RS) images at the regional level is challenging due to the uncertainty of the modeling sample size. In this study, a new optimizing method for the samples was suggested by integrating variance function in Geostatistics a...

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Bibliographic Details
Main Authors: Qingtai Shu, Lei Xi, Keren Wang, Fuming Xie, Yong Pang, Hanyue Song
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
variance function
value coefficient
optimal sample size
aboveground forest biomass
remote sensing estimation
Landsat 8/OLI
Online Access:https://www.mdpi.com/2072-4292/14/17/4187

Internet

https://www.mdpi.com/2072-4292/14/17/4187

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