气候变化领域集成服务门户(CCPortal): The importance of data type, laser spot density and modelling method for vegetation height mapping in continental China

CCPortal

DOI	10.1080/01431161.2016.1252472
	The importance of data type, laser spot density and modelling method for vegetation height mapping in continental China
	Liu, Caixia; Wang, Xiaoyi; Huang, Huabing; Gong, Peng; Wu, Di; Jiang, Jinxiong
通讯作者	Huang, HB (通讯作者)
发表日期	2016
ISSN	0143-1161
EISSN	1366-5901
起始页码	6127
结束页码	6148
卷号	37 期号:24
英文摘要	Vegetation height not only has great significance in the field of ecology but also offers a useful contribution to detailed land cover classification. The first vegetation height map was acquired in this study using the ice, cloud, and land elevation satellite /geosciences laser altimeter system (ICESat/GLAS) and other multisource remote sensing data, such as moderate-resolution imaging spectroradiometer (MODIS) tree cover products, leaf area index (LAI) products, Nadir bidirectional reflectance distribution function (BRDF)-adjusted reflectance (NBAR), climatic variables, and topographic indices. We mainly discuss the importance of data type, density of laser spot and modelling method in the generation of this vegetation height map in continental China. It was found that (1) a higher density of laser spot could improve the reliability of modelling in mountainous areas covered by a wide range of forest and shrub land; (2) in terms of the importance of input variables, in the random forest regression modelling, the most important ones are elevation, slope, mean air temperature, temperature variance, precipitation, precipitation variance, and NBAR; (3) when modelling using 50 ecozones covering the whole of continental China, the model showed a good performance with an accuracy of root mean square error (RMSE), correlation coefficient (r), index of agreement (d), and mean absolute error (MAE) at 5.7, 0.7, 0.8, and 3.8 m, respectively. A visual comparison suggests that the spatial pattern of vegetation height is consistent with that of land cover in China. It is very necessary in evaluating the importance of data type, laser spot density, and modelling method in vegetation height mapping in continental China.
关键词	RESOURCE LIMITATIONS MODEL LAND-COVER CLASSIFICATION FOREST STAND GLAS OPTIMIZATION ICESAT/GLAS SYSTEM
语种	英语
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000388599500023
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258791
推荐引用方式 GB/T 7714	Liu, Caixia,Wang, Xiaoyi,Huang, Huabing,et al. The importance of data type, laser spot density and modelling method for vegetation height mapping in continental China[J]. 中国科学院青藏高原研究所,2016,37(24).
APA	Liu, Caixia,Wang, Xiaoyi,Huang, Huabing,Gong, Peng,Wu, Di,&Jiang, Jinxiong.(2016).The importance of data type, laser spot density and modelling method for vegetation height mapping in continental China.INTERNATIONAL JOURNAL OF REMOTE SENSING,37(24).
MLA	Liu, Caixia,et al."The importance of data type, laser spot density and modelling method for vegetation height mapping in continental China".INTERNATIONAL JOURNAL OF REMOTE SENSING 37.24(2016).