干旱区生态环境知识资源中心(Arid): Vis-NIR Spectroscopy and Satellite Landsat-8 OLI Data to Map Soil Nutrients in Arid Conditions: A Case Study of the Northwest Coast of Egypt

Arid

DOI	10.3390/rs12223716
	Vis-NIR Spectroscopy and Satellite Landsat-8 OLI Data to Map Soil Nutrients in Arid Conditions: A Case Study of the Northwest Coast of Egypt
	Mohamed, Elsayed Said; Baroudy, A. A. El; El-beshbeshy, T.; Emam, M.; Belal, A. A.; Elfadaly, Abdelaziz; Aldosari, Ali A.; Ali, Abdelraouf. M.; Lasaponara, Rosa
通讯作者	Lasaponara, R
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:22
英文摘要	The mapping of soil nutrients is a key issue for numerous applications and research fields ranging from global changes to environmental degradation, from sustainable soil management to the precision agriculture concept. The characterization, modeling and mapping of soil properties at diverse spatial and temporal scales are key factors required for different environments. This paper is focused on the use and comparison of soil chemical analyses, Visible near infrared and shortwave infrared VNIR-SWIR spectroscopy, partial least-squares regression (PLSR), Ordinary Kriging (OK), and Landsat-8 operational land imager (OLI) images, to inexpensively analyze and predict the content of different soil nutrients (nitrogen (N), phosphorus (P), and potassium (K)), pH, and soil organic matter (SOM) in arid conditions. To achieve this aim, 100 surface samples of soil were gathered to a depth of 25 cm in the Wadi El-Garawla area (the northwest coast of Egypt) using chemical analyses and reflectance spectroscopy in the wavelength range from 350 to 2500 nm. PLSR was used firstly to model the relationship between the averaged values from the ASD spectroradiometer and the available N, P, and K, pH and SOM contents in soils in order to map the predicted value using Ordinary Kriging (OK) and secondly to retrieve N, P, K, pH, and SOM values from OLI images. Thirty soil samples were selected to verify the validity of the results. The randomly selected samples included the spatial diversity and characteristics of the study area. The prediction of available of N, P, K pH and SOM in soils using VNIR-SWIR spectroscopy showed high performance (where R-2 was 0.89, 0.72, 0.91, 0.65, and 0.75, respectively) and quite satisfactory results from Landsat-8 OLI images (correlation R-2 values 0.71, 0.68, 0.55, 0.62 and 0.7, respectively). The results showed that about 84% of the soils of Wadi El-Garawla are characterized by low-to-moderate fertility, while about 16% of the area is characterized by high soil fertility.
英文关键词	soil nutrients field spectroscopy Landsat (OLI) partial least-squares and regression Wadi El-Garawla
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:000594609400001
WOS关键词	INFRARED REFLECTANCE SPECTROSCOPY ; ORGANIC-CARBON ; SEMIARID REGION ; PREDICTION ; LAND ; REGRESSION ; GIS ; PH ; FERTILITY ; SPECTRA
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
来源机构	King Saud University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327787
作者单位	[Mohamed, Elsayed Said; Emam, M.; Belal, A. A.; Elfadaly, Abdelaziz; Ali, Abdelraouf. M.] Natl Author Remote Sensing & Space Sci, Cairo 1564, Egypt; [Baroudy, A. A. El; El-beshbeshy, T.] Tanta Univ, Fac Agr, Soils & Water Dept, Gharbiya 31527, Egypt; [Elfadaly, Abdelaziz; Lasaponara, Rosa] Italian Natl Res Council, I-85050 Potenza, Italy; [Aldosari, Ali A.] King Saud Univ, Geog Dept, Riyadh 11451, Saudi Arabia; [Ali, Abdelraouf. M.] Peoples Friendship Univ Russia, Agr Technol Inst, Ul Miklukho Maklaya 6, Moscow 117198, Russia
推荐引用方式 GB/T 7714	Mohamed, Elsayed Said,Baroudy, A. A. El,El-beshbeshy, T.,et al. Vis-NIR Spectroscopy and Satellite Landsat-8 OLI Data to Map Soil Nutrients in Arid Conditions: A Case Study of the Northwest Coast of Egypt[J]. King Saud University,2020,12(22).
APA	Mohamed, Elsayed Said.,Baroudy, A. A. El.,El-beshbeshy, T..,Emam, M..,Belal, A. A..,...&Lasaponara, Rosa.(2020).Vis-NIR Spectroscopy and Satellite Landsat-8 OLI Data to Map Soil Nutrients in Arid Conditions: A Case Study of the Northwest Coast of Egypt.REMOTE SENSING,12(22).
MLA	Mohamed, Elsayed Said,et al."Vis-NIR Spectroscopy and Satellite Landsat-8 OLI Data to Map Soil Nutrients in Arid Conditions: A Case Study of the Northwest Coast of Egypt".REMOTE SENSING 12.22(2020).