干旱区生态环境知识资源中心(Arid): Surface soil clay content mapping at large scales using multispectral (VNIR-SWIR) ASTER data

Arid

DOI	10.1080/01431161.2018.1528018
	Surface soil clay content mapping at large scales using multispectral (VNIR-SWIR) ASTER data
	Gasmi, Anis 1,2; Gomez, Cecile 3; Lagacherie, Philippe 4; Zouari, Hedi 2
通讯作者	Gasmi, Anis
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2019
卷号	40 期号:4 页码:1506-1533
英文摘要	The potential of Visible Near-Infrared and Short-Wave Infrared (VNIR-SWIR, 400 nm-2500 nm) hyperspectral imagery for use in multivariate approaches and geostatistical techniques for mapping topsoil properties has been previously demonstrated. However, the use of VNIR-SWIR hyperspectral imagery remains costly, which limits the spatial scales over which it can be applied. This paper aims to evaluate the potential for substituting the more accessible Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) VNIR-SWIR multispectral data for hyperspectral imagery in mapping surface soil clay contents. This study used ASTER multispectral data (nine bands in the VNIR-SWIR spectral domain) acquired over the Cap-Bon region in Tunisia (2000 km(2)) and 262 surface soil samples collected within the ASTER scene that were subjected to laboratory analysis of the clay fraction (soil particles less than 2 mu m). The approach followed two steps: i) estimation of surface soil clay contents for bare soil areas using a Multiple Linear Regression (MLR) model built from the 9 ASTER VNIR-SWIR bands and ii) spatial interpolation (co-kriging) of the soil sampling of measured points and the ASTER-estimates over the whole study area. The MLR model for estimating clay contents using ASTER multispectral data performed correctly ( = 0.60). In addition, this performance is only slightly lower than that obtained using hyperspectral imagery (specifically, an Airborne Imaging Spectrometer for Applications (AISA-DUAL) dual hyperspectral sensor) in a previous study. Moreover, the co-kriging process appeared to yield encouraging results for capturing the large range of variability of clay content values, although it was not able to represent the short scale variability ( = 0.43). Finally, the ASTER multispectral data, despite being underused in the mapping of soil properties, may open up new ways to perform more extensive mapping of surface soil properties in semi-arid contexts characterized by extensive bare and dry soil surfaces.
类型	Article
语种	英语
国家	Tunisia ; France
收录类别	SCI-E
WOS记录号	WOS:000458670300015
WOS关键词	REFLECTANCE SPECTROSCOPY ; NIR SPECTROSCOPY ; REGRESSION ; PREDICTION ; FIELD ; IDENTIFICATION ; DEGRADATION ; PERFORMANCE ; HYPERION ; IMAGE
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
来源机构	French National Research Institute for Sustainable Development
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216494
作者单位	1.Univ Tunis El Manar, FST, Campus Univ, El Manar Tunis 2092, Tunisia; 2.Ctr Rech & Technol Eaux CERTE, Technopole Borj Cedria, Soliman, Tunisia; 3.INRA, IRD, UMR LISAH, SupAgro, Montpellier, France; 4.INRA, UMR LISAH, IRD, SupAgro, Montpellier, France
推荐引用方式 GB/T 7714	Gasmi, Anis,Gomez, Cecile,Lagacherie, Philippe,et al. Surface soil clay content mapping at large scales using multispectral (VNIR-SWIR) ASTER data[J]. French National Research Institute for Sustainable Development,2019,40(4):1506-1533.
APA	Gasmi, Anis,Gomez, Cecile,Lagacherie, Philippe,&Zouari, Hedi.(2019).Surface soil clay content mapping at large scales using multispectral (VNIR-SWIR) ASTER data.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(4),1506-1533.
MLA	Gasmi, Anis,et al."Surface soil clay content mapping at large scales using multispectral (VNIR-SWIR) ASTER data".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.4(2019):1506-1533.