Estimation of Dendrocalamus giganteus leaf area index by combining multi-source remote sensing data and machine learning optimization model
The Leaf Area Index (LAI) is an essential parameter that affects the exchange of energy and materials between the vegetative canopy and the surrounding environment. Estimating LAI using machine learning models with remote sensing data has become a prevalent method for large-scale LAI estimation. How...
Saved in:
Main Authors: | Zhen Qin, Huanfen Yang, Qingtai Shu, Jinge Yu, Zhengdao Yang, Xu Ma, Dandan Duan |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1505414/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Temporal Image Fusion-Based Shallow-Water Bathymetry Inversion Method Using Active and Passive Satellite Remote Sensing Data
by: Jie Li, et al.
Published: (2025-01-01) -
Seasonal Land Use and Land Cover Mapping in South American Agricultural Watersheds Using Multisource Remote Sensing: The Case of Cuenca Laguna Merín, Uruguay
by: Giancarlo Alciaturi, et al.
Published: (2025-01-01) -
FORECASTING OF POTATO YIELD ESTIMATION BY SATELLITE BASED REMOTE SENSING TECHNIQUE
by: Mohammad Mukhlesur Rahman, et al.
Published: (2024-05-01) -
Estimation of Forest Leaf Area Index Based on GEE Data Fusion Method
by: Xinyi Liu, et al.
Published: (2025-01-01) -
Coupling ICESat-2 and Sentinel-2 data for inversion of mangrove tidal flat to predict future distribution pattern of mangroves
by: Xiaoyong Ming, et al.
Published: (2025-02-01)