期刊论文

Hua Sun

英文

Remote Sensing

2072-4292

2021

13

8

1535-

10.3390/rs13081535

All authors read the manuscript; conceptualization and methodology, H.S. and F.Z.; validation, F.J. and F.Z.; formal analysis, F.J.; investigation, F.J., D.L., and H.S.; draft, F.J., H.S., and K.M.; supervision, H.S.; review, editing, and revision, F.Z. and K.M.; funding acquisition, H.S. All authors have read and agreed to the published version of the manuscript. This research was funded by the project of the National Natural Science Foundation of China, grant number 31971578; Scientific Research Fund of Hunan Provincial Education Department, grant number 17A225; National Bureau to Combat Desertification, State Forestry Administration of China, grant number 101-9899; and the Forestry Administration of Hunan Province, grant number XLK201986.

本校为第一机构

The forest canopy height (FCH) plays a critical role in forest quality evaluation and resource management. The accurate and rapid estimation and mapping of the regional forest canopy height is crucial for understanding vegetation growth processes and the internal structure of the ecosystem. A stacking algorithm consisting of multiple linear regression (MLR), support vector machine (SVM), k-nearest neighbor (kNN), and random forest (RF) was used in this paper and demonstrated optimal performance in predicting the forest canopy height by synergizing Sentinel-2 images acquired from the cloud-base...