Retrieving aboveground biomass of wetland Phragmites australis (common   reed) using a combination of airborne discrete-return LiDAR and   hyperspectral data

doi:10.1016/j.jag.2017.01.016

CORC > 北京大学 > 地球与空间科学学院

	Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data
	Luo, Shezhou ; Wang, Cheng ; Xi, Xiaohuan ; Pan, Feifei ; Qian, Mingjie ; Peng, Dailiang ; Nie, Sheng ; Qin, Haiming ; Lin, Yi
刊名	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
	2017
关键词	LiDAR Biomass Wetland vegetation Hyperspectral Reed Phragmites australis LEAF-AREA INDEX LASER-SCANNING DATA WAVE-FORM LIDAR FOREST BIOMASS TEMPERATE FOREST CARBON STOCKS SAVANNA ECOSYSTEMS VEGETATION INDEX PROFILING LIDAR TROPICAL FOREST
DOI	10.1016/j.jag.2017.01.016
英文摘要	Wetland biomass is essential for monitoring the stability and productivity of wetland ecosystems. Conventional field methods to measure or estimate wetland biomass are accurate and reliable, but expensive, time consuming and labor intensive. This research explored the potential for estimating Wetland reed biomass using a combination of airborne discrete-return Light Detection and Ranging (LiDAR) and hyperspectral data. To derive the optimal predictor variables of reed biomass, a range of LiDAR and hyperspectral metrics at different spatial scales were regressed against the field-observed biomasses. The results showed that the LiDAR-derived H_p99 (99th percentile of the LiDAR height) and hyperspectral-calculated modified soil-adjusted vegetation index (MSAVI) were the best metrics for estimating reed biomass using the single regression model. Although the LiDAR data yielded a higher estimation accuracy compared to the hyperspectral data, the combination of LiDAR and hyperspectral data produced a more accurate prediction model for reed biomass (R-2 = 0.648, RMSE = 167.546 g/m(2), RMSEr =20.71%) than LiDAR data alone. Thus, combining LiDAR data with hyperspectral data has a great potential for improving the accuracy of aboveground biomass estimation. (C) 2017 Elsevier B.V. All rights reserved.; Office of China Postdoctoral Council [20140042]; National Natural Science Foundation of China [41371350, 41271428, 41671434]; SCI(E); ARTICLE; 107-117; 58
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/473281]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Luo, Shezhou,Wang, Cheng,Xi, Xiaohuan,et al. Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2017.
APA	Luo, Shezhou.,Wang, Cheng.,Xi, Xiaohuan.,Pan, Feifei.,Qian, Mingjie.,...&Lin, Yi.(2017).Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION.
MLA	Luo, Shezhou,et al."Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2017).