干旱区生态环境知识资源中心(Arid): Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data

Arid

DOI	10.3390/rs14020242
	Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data
	Pang, Haiyang; Zhang, Aiwu; Yin, Shengnan; Zhang, Jiaxin; Dong, Gang; He, Nianpeng; Qin, Wenxuan; Wei, Dandan
通讯作者	Zhang, AW (corresponding author)，Capital Normal Univ, Key Lab 3D Informat Acquisit & Applicat, Minist Educ, Beijing 100048, Peoples R China. ; Zhang, AW (corresponding author)，Capital Normal Univ, Engn Res Ctr Spatial Informat Technol, Minist Educ, Beijing 100048, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:2
英文摘要	Estimating the carbon (C), nitrogen (N), and phosphorus (P) contents of a large-span grassland transect is essential for evaluating ecosystem functioning and monitoring biogeochemical cycles. However, the field measurements are scattered, such that they cannot indicate the continuous gradient change in the grassland transect. Although remote sensing methods have been applied for the estimation of nutrient elements at the local scale in recent years, few studies have considered the effective estimation of C, N, and P contents over large-span grassland transects with complex environment including a variety of grassland types (i.e., meadow, typical grassland, and desert grassland). In this paper, an information enhancement algorithm (involving spectral enhancement, regional enhancement, and feature enhancement) is used to extract the weak information related to C, N, and P. First, the spectral simulation algorithm is used to enhance the spectral information of Sentinel-2 imagery. Then, the enhanced spectra and meteorological data are fused to express regional characteristics and the fractional differential (FD) algorithm is used to extract sensitive spectral features related to C, N, and P, in order to construct a partial least-squares regression (PLSR) model. Finally, the C, N, and P contents are estimated over a West-East grassland transect in Inner Mongolia, China. The results demonstrate that: (i) the contents of C, N, and P in large-span transects can be effectively estimated through use of the information enhancement method involving spectral enhancement, regional feature enhancement, and information enhancement, for which the estimation accuracies (R-2) were 0.88, 0.78, and 0.85, respectively. Compared with the estimation results of raw Sentinel-2 imagery, the RMSE was reduced by 3.42 g/m(2), 0.14 g/m(2), and 13.73 mg/m(2), respectively; and (ii) the continuous change trend and spatial distribution characteristics of C, N, and P contents in the west-east transect of the Inner Mongolia Plateau were obtained, which showed decreasing trends in C, N, and P contents from east to west and the characteristics of meadow > typical grassland > desert grassland. Thus, the information enhancement algorithm can help to improve estimates of C, N, and P contents when considering large-span grassland transects.
英文关键词	Sentinel-2 grassland C N P fractional differential spectra Inner Mongolia Plateau
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000747155100001
WOS关键词	HYPERSPECTRAL DATA ; LEAF NITROGEN ; SEQUESTRATION ; ECOSYSTEMS ; ALGORITHMS ; DYNAMICS ; PLATEAU ; SPECTRA ; BIOMASS ; MODELS
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376778
作者单位	[Pang, Haiyang; Zhang, Aiwu; Yin, Shengnan; Zhang, Jiaxin; Qin, Wenxuan] Capital Normal Univ, Key Lab 3D Informat Acquisit & Applicat, Minist Educ, Beijing 100048, Peoples R China; [Pang, Haiyang; Zhang, Aiwu; Yin, Shengnan; Zhang, Jiaxin; Qin, Wenxuan] Capital Normal Univ, Engn Res Ctr Spatial Informat Technol, Minist Educ, Beijing 100048, Peoples R China; [Dong, Gang] Shanxi Univ, Sch Life Sci, Taiyuan 030006, Peoples R China; [He, Nianpeng] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; [Wei, Dandan] Land Satellite Remote Sensing Applicat Ctr, Minist Nat Resource, Beijing 100048, Peoples R China
推荐引用方式 GB/T 7714	Pang, Haiyang,Zhang, Aiwu,Yin, Shengnan,et al. Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data[J],2022,14(2).
APA	Pang, Haiyang.,Zhang, Aiwu.,Yin, Shengnan.,Zhang, Jiaxin.,Dong, Gang.,...&Wei, Dandan.(2022).Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data.REMOTE SENSING,14(2).
MLA	Pang, Haiyang,et al."Estimating Carbon, Nitrogen, and Phosphorus Contents of West-East Grassland Transect in Inner Mongolia Based on Sentinel-2 and Meteorological Data".REMOTE SENSING 14.2(2022).