Improved estimation of aboveground biomass in rubber plantations by fusing spectral and textural information from UAV-based RGB imagery

Improved estimation of aboveground biomass in rubber plantations by fusing spectral and textural information from UAV-based RGB imagery

Aboveground biomass (AGB), as a crucial indicator of forest growth and quality, plays an important role in monitoring the global carbon cycle and forest health. Rapid, accurate, and non-destructive assessment of AGB in rubber plantations is beneficial not only for predicting rubber yield but also fo...

Full description

Bibliographic Details
Main Authors: Yuying Liang, Weili Kou, Hongyan Lai, Juan Wang, Qiuhua Wang, Weiheng Xu, Huan Wang, Ning Lu
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Ecological Indicators
Subjects:
Aboveground biomass
Unmanned aerial vehicle
RGB imagery
Vegetation indices
Grey level co-occurrence matrix
Machine learning regression techniques
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X22007580

Internet

http://www.sciencedirect.com/science/article/pii/S1470160X22007580

Similar Items