Assessment of Active LiDAR Data and Passive Optical Imagery for Double-Layered Mangrove Leaf Area Index Estimation: A Case Study in Mai Po, Hong Kong

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 10; p. 2551
• Main Authors: Li, Qiaosi, Wong, Frankie Kwan Kit, Fung, Tung, Brown, Luke A., Dash, Jadunandan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2023
• Subjects: Accuracy; Analysis; Biomass; Canopies; Case studies; Chlorophyll; Estimation; hemispherical photography; Hyperspectral imaging; LAI; Leaf area; Leaf area index; Leaves; LiDAR; Mangrove swamps; Mangroves; Measurement techniques; Methods; Multilayers; Noise reduction; Optical radar; overstory; Photosynthesis; Regression analysis; Regression models; Remote sensing; Spectral resolution; Understory; Variables; Vegetation; Vegetation index; vegetation indices; Hong Kong; United Kingdom; China; Hong Kong China

Remote sensing technology is a timely and cost-efficient method for leaf area index (LAI) estimation, especially for less accessible areas such as mangrove forests. Confounded by the poor penetrability of optical images, most previous studies focused on estimating the LAI of the main canopy, ignorin...