干旱区生态环境知识资源中心(Arid): Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape

Arid

DOI	10.1109/JSTARS.2020.2995543
	Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape
	Bannari, Abdou; Musa, Nadir Hameid Mohamed; Abuelgasim, Abdelgadir; El-Battay, Ali
通讯作者	Bannari, A
来源期刊	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN	1939-1404
EISSN	2151-1535
出版年	2020
卷号	13 页码:2434-2450
英文摘要	Although the Sentinel-MSI and Landsat-OLI are designed to be similar, they have different spectral, spatial and radiometric resolutions. In addition, relative spectral response profiles characterizing the filters responsivities of the both instruments are not identical between the homologous bands. This paper analyse the difference between the reflectance in the homologous spectral bands of MSI and OLI sensors, VNIR and SWIR, for high temporal frequency monitoring of soil salinity dynamic in an arid landscapes. In addition, their conversion in term of Soil Salinity and Sodicity Index (SSSI) and in term of Semi-Empirical Predictive Model (SEPM) for soil salinity mapping were compared. To achieve these, analyses were performed on simulated data and on two pairs of images (MSI and OLI) acquired over the same area in July 2015 and August 2017 with one day difference between each pair. The results obtained demonstrate that the statistical fits between SMI and OLI simulated reflectance over a wide range of soil samples with different salinity degrees reveals an excellent linear relationship (R-2 of 0.99) for all bands, as well as for SSSI and SEPM. The Root Mean Square Difference (RMSD) values are null between the NIR and SWIR homologous bands, and are insignificant for the other bands. Moreover, the SSSI show an RMSD of 0.0007 and the SEPM express an excellent RMSD around 0.5 dS.m(-1) reflecting a relative error between 0.001 and 0.05 for non-saline and extreme salinity classes, respectively. Likewise, the two used pairs of images exhibited very significant fits (R-2 >= 0.93) for spectral band reflectance's, as well for SSSI and SEPM, yielding a RMSD values less than 0.029 for bands and less than 0.004 for SSSI. While, for SEPM, the RMSD fluctuate between 0.12 and 2.65 dS.m(-1), respectively, of non-saline and extreme salinity classes. Accordingly, we can conclude that the MSI and OLI sensors can be used jointly to monitor accurately the soil salinity and it's dynamic in time and space in arid landscape, provided that rigorous preprocessing issues must be addressed before.
英文关键词	Salinity (geophysical) Soil Sensors Monitoring Reflectivity Remote sensing Arid landscape images data landsat-OLI semi-empirical model sentinel-MSI simulated data soil salinity soil salinity and sodicity index (SSSI) spectroradiometric measurements
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:000542977100002
WOS关键词	ELECTRICAL-CONDUCTIVITY ; VEGETATION INDEXES ; GENERAL-METHOD ; REFLECTANCE ; SENSOR ; SALT ; SCIENCE ; MISSION
WOS类目	Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Engineering ; Physical Geography ; 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/2XILL650/324833
作者单位	[Bannari, Abdou] Space Pix Map Int Inc, Gatineau, PQ J8R 3R7, Canada; [Musa, Nadir Hameid Mohamed] Arabian Gulf Univ, Coll Grad Studies, Dept Geoinformat, Manama 26671, Bahrain; [Abuelgasim, Abdelgadir] United Arab Emirates Univ, Dept Geog & Urban Sustainabil, A Ain 15551, U Arab Emirates; [El-Battay, Ali] Int Ctr Biosaline Agr, Dubai, U Arab Emirates
推荐引用方式 GB/T 7714	Bannari, Abdou,Musa, Nadir Hameid Mohamed,Abuelgasim, Abdelgadir,et al. Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape[J],2020,13:2434-2450.
APA	Bannari, Abdou,Musa, Nadir Hameid Mohamed,Abuelgasim, Abdelgadir,&El-Battay, Ali.(2020).Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,13,2434-2450.
MLA	Bannari, Abdou,et al."Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 13(2020):2434-2450.