干旱区生态环境知识资源中心(Arid): Quantification of some intrinsic soil properties using proximal sensing in arid lands: Application of Vis-NIR, MIR, and pXRF spectroscopy

Arid

DOI	10.1016/j.geodrs.2022.e00484
	Quantification of some intrinsic soil properties using proximal sensing in arid lands: Application of Vis-NIR, MIR, and pXRF spectroscopy
	Naimi, Salman; Ayoubi, Shamsollah; Di Loreto Di Raimo, Luis Augusto; Melo Dematte, Jose Alexandre
通讯作者	Ayoubi, S
来源期刊	GEODERMA REGIONAL
ISSN	2352-0094
出版年	2022
卷号	28
英文摘要	The aim of the current research was to examine the effectiveness of Vis-NIR-SWIR (visible, near-infrared, and shortwave infrared spectroscopy: 350-2500 nm), MIR (mid-infrared spectroscopy: 4000-400 cm(-1)), and pXRF (portable x-ray fluorescence) to characterize and estimate clay, sand, silt, calcium carbonate (CaCO3), gypsum (CaSO4 center dot 2H(2)O), soil organic carbon (SOC) contents and electrical conductivity (EC) in Afzar district, Fars province, southern Iran. The study area was divided into non-saline (A) and saline (B) regions, and then a total of 300 soil samples from these areas were collected for laboratory analysis. The partial least-squares regression (PLSR) method was used to predict soil properties from Vis-NIR-SWIR, mid-IR, and pXRF spectra. In general, Vis-NIRSWIR showed better results for predicting soil texture (R-2 for area A: clay = 0.78, sand = 0.80 and silt = 0.69; R-2 for area B: clay = 0.63, sand = 0.67 and silt = 0.47) in the arid regions than mid-IR (R-2 for area A: clay = 0.71, sand = 0.75 and silt = 0.63; R-2 for area B: clay = 0.61, sand = 0.57 and silt = 0.37), and pXRF (R-2 for area A: clay = 0.49, sand = 0.60 and silt = 0.50; R-2 for area B: clay = 0.41, sand = 0.41 and silt = 0.23). Based on the RPI index, three approaches alone could successfully predict CaCO3 in areas A and B (R-2 > 0.75 and RPIQ >2.02). The model prediction results for gypsum showed that although the value of the determination coefficient is high (R-2 > 0.95), but according to the low value of the RPIQ index (RPIQ<1.26), the model prediction performance is untrusted, and this is probably due to unsuitable distribution of gypsum in this area. The results showed that the pXRF technique alone could not predict SOC in these areas (R-2 < 0.27 and RPIQ <1.08), and it is probably better to use it in combination with Vis-NIR-SWIR and mid-IR data. pXRF for predicting soil salinity in areas A and B was acceptable and successful, respectively. Also, the results showed that the Vis-NIR-SWIR and mid-IR ranges could not predict salinity in these regions and should be used in combination with pXRF data. In conclusion, the Vis-NIR-SWIR, mid-IR, and pXRF spectroscopy are presented here as useful and reliable tools for direct applications in pedology, particularly in the digital mapping of soil surface properties.
英文关键词	Vis-NIR-SWIR Mid-IR and pXRF spectroscopy Soil spectral behavior PLSR, arid region
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000801607700003
WOS关键词	X-RAY-FLUORESCENCE ; INFRARED REFLECTANCE SPECTROSCOPY ; DIFFUSE-REFLECTANCE ; ORGANIC-MATTER ; QUANTITATIVE-ANALYSES ; SEMIARID REGION ; TRACE-ELEMENTS ; PREDICTION ; CARBON ; SALINITY
WOS类目	Soil Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392923
推荐引用方式 GB/T 7714	Naimi, Salman,Ayoubi, Shamsollah,Di Loreto Di Raimo, Luis Augusto,et al. Quantification of some intrinsic soil properties using proximal sensing in arid lands: Application of Vis-NIR, MIR, and pXRF spectroscopy[J],2022,28.
APA	Naimi, Salman,Ayoubi, Shamsollah,Di Loreto Di Raimo, Luis Augusto,&Melo Dematte, Jose Alexandre.(2022).Quantification of some intrinsic soil properties using proximal sensing in arid lands: Application of Vis-NIR, MIR, and pXRF spectroscopy.GEODERMA REGIONAL,28.
MLA	Naimi, Salman,et al."Quantification of some intrinsic soil properties using proximal sensing in arid lands: Application of Vis-NIR, MIR, and pXRF spectroscopy".GEODERMA REGIONAL 28(2022).