3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction

Dataset

Description

To explore the idea of using LiDAR intensity data to assess LWC we normalized (for both angular effects and leaf surface properties) shortwave infrared TLS data (1550 nm). A reflectance model describing both diffuse and specular reflectance was applied to remove strong specular backscatter intensity at a perpendicular angle. Leaves with different surface properties were collected from eight broadleaf plant species for modeling the relationship between LWC and backscatter intensity. Reference reflectors (Spectralon from Labsphere, Inc.) were used to build a look-up table to compensate for incidence angle effects.
Date made available6 Sep 2018
PublisherDANS easy
Date of data production6 Sep 2018

Cite this

Zhu, X. (Creator) (6 Sep 2018). 3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction. DANS easy. 10.17026/dans-x4d-g7uv