Leaf area index (LAI) is an important vegetation leaf structure parameter in forest and agricultural ecosystems. Remote sensing techniques can provide an effective alternative to field-based observation of LAI. Differences in canopy structure result in different sensor types (active or passive), platforms (terrestrial, airborne, or satellite), and models being appropriate for the LAI.. The ability to accurately and rapidly acquire leaf area index (LAI) is an indispensable component of process-based ecological research facilitating the understanding of gas-vegetation exchange phenomenon at an array of spatial scales from the leaf to the landscape.. Keywords: Leaf area index (LAI), remote sensing, light detection and ranging.
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Retrieving leaf area index (LAI) using remote sensing: theories, methods and sensors. Sensors. 2009;9:2719-45. Article PubMed PubMed Central Google Scholar Asner GP, Braswell BH, Schimel DS, Wessman CA. Ecological research needs from multiangle remote sensing data. Remote Sens Environ. 1998;63:155-65.. Leaf area index. In Advanced Remote Sensing (Second Edition), 2020. Abstract. Leaf area index (LAI) indicates the amount of leaf area in an ecosystem. LAI is a critical parameter for understanding terrestrial ecological, hydrological, and biogeochemical processes. This chapter first introduces field methods for measuring LAI, including direct.
