Evaluation of GOFP over four forest plots using RAMI and UAV measurements. Issue 10 (3rd October 2021)

• Record Type: Journal Article
• Authors: Geng, Jun; Zhang, Qian; Qiu, Feng; Chen, J. M.; Zhang, Yongguang; Fan, Weiliang; Tu, Lili; Huang, Jianwei; Wang, Shaoteng; Xu, Lichen; Li, Jinchao
• Is Part Of: International journal of digital earth. Volume 14:Issue 10(2021)
• Page Start: 1433
• Page End: 1451
• Publication Date: 2021-10-03
• Subjects: Validation -- forest plantation -- GOFP -- tree distribution -- BRF -- hypergeometric model; Geographic information systems -- Periodicals; Sustainable development -- Information technology -- Periodicals; Social planning -- Information technology -- Periodicals; 910.285
• DOI: 10.1080/17538947.2021.1936226
• Languages: English
• ISSNs: 1753-8947

Abstract

ABSTRACT: Comparison and validation of canopy reflectance (CR) models are two important steps to ensure their reliability. Pure forest plantations are an ideal type of forest for validating CR models because of their simple background and the low variance in the crown structures which are usually assumed to be identical in most CR models. A Geometric Optical Model for Forest Plantations (GOFP) was compared using dataset in two radiation transfer model intercomparison exercise (RAMI) stands and validated using in situ dataset of detailed optical and structural data of two forest plantations in the Saihanba Forestry Center, China. The results show that (1) the tree distributions in stands described by the hypergeometric model in GOFP show good consistencies with the dataset in the two RAMI stands and measurements from the two Saihanba forest stands; and (2) the CRs simulated with GOFP are also compared well in the two RAMI stands and validated with measurements collected with unmanned aerial vehicles in the two Saihanba stands. GOFP shows a better consistency with the CR measurements than those from CR models for natual forestsbecause the tree distribution in forest plantations is described more reasonably in GOFP.