The importance of data type, laser spot density and modelling method for vegetation height mapping in continental China

	The importance of data type, laser spot density and modelling method for vegetation height mapping in continental China
	Liu, Caixia 1; Wang, Xiaoyi 1; Huang, Huabing 1; Gong, Peng 1; Wu, Di 1; Jiang, Jinxiong 1
刊名	International Journal of Remote Sensing
	2016
卷号	37 期号:24 页码:6127-6148
关键词	SPARSE REPRESENTATION
通讯作者	Huang, Huabing (huanghb@radi.ac.cn)
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. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
学科主题	Remote Sensing; Imaging Science & Photographic Technology
类目[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:20164803076957
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39328]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 2. Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China 3. Ministry of Education Key Laboratory for Earth System Modeling, Centre for Earth System Science, Tsinghua University, Beijing, China 4. Joint Center for Global Change Studies, Beijing, China 5. Heilongjiang Geomatics Center of SBSM, Harbin, China 6. State Key Laboratory of Space–Ground Integrated Information Technology, Beijing, China
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]. International Journal of Remote Sensing,2016,37(24):6127-6148.
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),6127-6148.
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):6127-6148.