干旱区生态环境知识资源中心(Arid): An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation

Arid

DOI	10.3390/rs14246396
	An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation
	Huang, Xi; Bai, Tiecheng; Guan, Huade; Wei, Xiayong; Wang, Yali; Mao, Xiaomin
通讯作者	Mao, XM
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:24
英文摘要	Soil salinization has become one of the main factors restricting sustainable development of agriculture. Field spectrometry provides a quick way to predict the soil salinization. However, soil moisture content (SMC) seriously interferes with the spectral information of saline soil in arid areas. It is vital to establish a model that is insensitive to SMC for potential in situ field applications. The soil spectral reflectance exponential model (SSREM) has been widely employed for reflectance simulation and SSC inversion. However, its reliability for saline soils with high SMC has not been verified yet. Based on hyperspectral remote sensing data (400 similar to 1000 nm) on 459 saline soil samples in Shiyang River Basin of Northwest China, we investigated the role of SMC and SSC in soil spectral reflectance from 29 October 2020 to 22 January 2021. Targeted at saline soils, soil spectral moisture threshold (MT) was introduced to improve the SSREM toward a modified spectral reflectance exponential model (MT-SSREM). The bands that are sensitive to SSC but not sensitive to SMC were obtained based on a method of correlation analysis between original spectra, four kinds of spectral data, and SSC. SSREM and MT-SSREM were finally applied to inversely estimate SSC. Results show that wavelengths at 658 similar to 660, 671 similar to 685, 938 nm were suitable for SSC estimation. Furthermore, although SSREM was able to simulate the spectral reflectance of most saline soils, its simulation accuracy was low for saline soil samples with high SMC (SMC > MT(i), 400 nm <= i <= 1000 nm), while MT-SSREM performed well over the whole range of SMC. The simulated spectral reflectance from MT-SSREM agreed well with the measured reflectance, with the R-2 being generally larger than 0.9 and RMSE being less than 0.1. More importantly, MT-SSREM performed substantially better than SSREM for SSC estimation; in the statistical performance of the former case, R-2 was in range of 0.60 similar to 0.66, RMSE was in range of 0.29 similar to 0.33 dS m(-1); in the latter case, R-2 was in range of 0.10 similar to 0.16, RMSE was in the range of 0.26 similar to 0.29 dS m(-1). MT-SSREM proposed in this study thus provides a new direction for estimating hyperspectral reflectance and SSC under various soil moisture conditions at wavelengths from 400 to 1000 nm. It also provides an approach for SSC and SMC mapping in salinization regions by incorporating remote sensing data, such as GF-5.
英文关键词	hyperspectral remote sensing data saline soil soil moisture soil spectral exponential model soil spectral moisture threshold
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:000903149500001
WOS关键词	REMOTE-SENSING DATA ; BIDIRECTIONAL REFLECTANCE ; QUANTITATIVE-ANALYSIS ; SPECTROSCOPY ; INDEXES ; SALT ; SALINIZATION ; PREDICTION ; ALGORITHM ; MACHINE
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/2XILL650/394252
推荐引用方式 GB/T 7714	Huang, Xi,Bai, Tiecheng,Guan, Huade,et al. An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation[J],2022,14(24).
APA	Huang, Xi,Bai, Tiecheng,Guan, Huade,Wei, Xiayong,Wang, Yali,&Mao, Xiaomin.(2022).An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation.REMOTE SENSING,14(24).
MLA	Huang, Xi,et al."An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation".REMOTE SENSING 14.24(2022).