The study was conducted to derive a functional relationship between airborne laser generated forest profile area and ground-based leaf area index (LAI) for extensive estimation. Subsequently, LAI was estimated by applying parameterized derived equations to the laser data covering a 384 ha temperate forest in Ehime, Japan. There is a growing demand for accurate estimates of LAI in larger areas due to its role in monitoring climate change and forest productivity. However, due to complicated nature of terrestrial vegetation and rapid land use changes, accurate and precise estimation of LAI has been a challenge. Although, the functional relationship of laser-generated profile area (S) and forest biomass (W) is well established, the relationship with LAI is still at infancy. In this research, a function relating LAI and S was derived with an improved estimation of LAI, RMSE = 1.32 and Bias = 0.21. Our results showed reasonable agreement between Laser estimated and field derived LAI, r = 0.6 (p = 0.014). This study covered a small area and validation of the findings in larger scale could be recommended.
Key words: Airborne laser altimetry (ALA), leaf area index (LAI), forest profile area, climate change, remote sensing.
Copyright © 2022 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0