Weihua Li

Weihua Li
Beijing Normal University | bnu · State Key Laboratory of Remote Sensing Sciences

Bachelor of Engineering

About

4
Publications
1,195
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
24
Citations
Citations since 2016
4 Research Items
24 Citations
201620172018201920202021202202468
201620172018201920202021202202468
201620172018201920202021202202468
201620172018201920202021202202468
Introduction
Skills and Expertise
Additional affiliations
September 2018 - present
Beijing Normal University
Position
  • PhD Student
Education
September 2014 - July 2018
University of Electronic Science and Technology of China
Field of study
  • Resource and environment; electronic science and technology.

Publications

Publications (4)
Article
Full-text available
The leaf area index (LAI), defined as one-half of the total green leaf area per unit horizontal ground surface area, is a key parameter in agriculture, forestry, ecology, and other fields. The clumping index (CI) accounts for the nonrandom spatial distribution of the foliage elements in the canopy, thereby considerably influencing the accuracy of L...
Article
Full-text available
The clumping effect is the main issue causing the heterogeneity in vegetation canopies and the underestimation of leaf area index (LAI) obtained using indirect measurement methods. Significant efforts have been exerted to correct for the clumping effect and derive the true LAI. Recent research has shown that the fractal dimension (FD) is directly r...
Article
Full-text available
Vegetation cover estimation for overstory and understory layers provides valuable information for modeling forest carbon and water cycles and refining forest ecosystem function assessment. Although previous studies demonstrated the capability of light detection and ranging (LiDAR) in the three-dimensional (3D) characterization of forest overstory a...

Network

Cited By

Projects

Projects (2)
Project
The recent technological advancement in the UAVs, light-weight imaging sensors (RGB, multispectral and hyperspectral camera) and image processing provides new operational systems for quantitative remote sensing of plants at very fine resolution. Accurate and efficient estimation of biophysical variables/traits is essential especially for high-throughput phenotyping and ecosystem monitoring. UAV also offers new insights into characterization of the canopy and background anisotropy using multi-angular observation, which will facilitate the canopy radiative transfer modelling and validation. Besides, the UAVs have potentials to revolutionize the geometric modelling with its flexibility.
Project
Find new and robust algorithms to increase the accuracy of FVC.