干旱区生态环境知识资源中心(Arid): Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta

Arid

DOI	10.3390/su12229653
	Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta
	Baroudy, Ahmed A. El; Ali, Abdelraouf. M.; Mohamed, Elsayed Said; Moghanm, Farahat S.; Shokr, Mohamed S.; Savin, Igor; Poddubsky, Anton; Ding, Zheli; Kheir, Ahmed M. S.; Aldosari, Ali A.; Elfadaly, Abdelaziz; Dokukin, Peter; Lasaponara, Rosa
通讯作者	Elfadaly, A
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2020
卷号	12 期号:22
英文摘要	Today, the global food security is one of the most pressing issues for humanity, and, according to Food and Agriculture Organisation (FAO), the increasing demand for food is likely to grow by 70% until 2050. In this current condition and future scenario, the agricultural production is a critical factor for global food security and for facing the food security challenge, with specific reference to many African countries, where a large quantities of rice are imported from other continents. According to FAO, to face the Africa's inability to reach self-sufficiency in rice, it is urgent to redress to stem the trend of over-reliance on imports and to satisfy the increasing demand for rice in areas where the potential of local production resources is exploited at very low levels The present study was undertaken to design a new method for land evaluation based on soil quality indicators and remote sensing data, to assess and map soil suitability for rice crop. Results from the investigations, performed in some areas in the northern part of the Nile Delta, were compared with the most common approaches, two parametric (the square root, Storie methods) and two qualitative (ALES and MicrioLEIS) methods. From the qualitative point of view, the results showed that: (i) all the models provided partly similar outputs related to the soil quality assessments, so that the distinction using the crop productivity played an important role, and (ii) outputs from the soil suitability models were consistent with both the satellite Sentinel-2 Normalize Difference Vegetation Indices (NDVI) during the crop growth and the yield production. From the quantitative point of view, the comparison of the results from the diverse approaches well fit each other, and the model, herein proposed, provided the highest performance. As a whole, a significant increasing in R-2 values was provided by the model herein proposed, with R-2 equal to 0.92, followed by MicroLES, Storie, ALES and Root as R-2 with value equal to 0.87, 0.86, 0.84 and 0.84, respectively, with increasing percentage in R-2 equal to 5%, 6% and 8%, respectively. Furthermore, the proposed model illustrated that around (i) 44.44% of the total soils of the study area are highly suitable, (ii) 44% are moderately suitable, and (iii) approximately 11.56% are unsuitable for rice due to their adverse physical and chemical soil properties. The approach herein presented can be promptly re-applied in arid region and the quantitative results obtained can be used by decision makers and regional governments.
英文关键词	Sentinel-2 SRTM NDVI GIS soil health soil suitability for rice Nile Delta
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000594600400001
WOS关键词	GIS ; AREA ; EGYPT ; CLASSIFICATION ; POTENTIALITY ; AGRICULTURE ; RESOURCES ; IMPACTS
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
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/2XILL650/327785
作者单位	[Baroudy, Ahmed A. El; Shokr, Mohamed S.] Tanta Univ, Fac Agr, Soil & Water Dept, Tanta 31527, Egypt; [Ali, Abdelraouf. M.; Poddubsky, Anton; Dokukin, Peter] Peoples Friendship Univ Russia, Agr Technol Inst, Ul Miklukho Maklaya 6, Moscow 117198, Russia; [Ali, Abdelraouf. M.; Mohamed, Elsayed Said; Elfadaly, Abdelaziz] Natl Author Remote Sensing & Space Sci NARSS, Cairo 11843, Egypt; [Moghanm, Farahat S.] Kafrelsheikh Univ, Fac Agr, Soil & Water Dept, Kafrelsheikh 33516, Egypt; [Savin, Igor] Peoples Friendship Univ Russia, Ecol Fac, Ul Miklukho Maklaya 6, Moscow 117198, Russia; [Savin, Igor] VV Dokuchaev Soil Sci Inst, Pyzhevsky Per 7, Moscow 119017, Russia; [Ding, Zheli] Chinese Acad Trop Agr Sci CATAS, Haikou Expt Stn, Haikou 570100, Hainan, Peoples R China; [Kheir, Ahmed M. S.] Agr Res Ctr, Soils Water & Environm Res Inst, Giza 12112, Egypt; [Aldosari, Ali A.] King Saud Univ, Geog Dept, Riyadh 11451, Saudi Arabia; [Elfadaly, Abdelaziz; Lasaponara, Rosa] Italian Natl Res Council, I-85050 Potenza, Italy
推荐引用方式 GB/T 7714	Baroudy, Ahmed A. El,Ali, Abdelraouf. M.,Mohamed, Elsayed Said,et al. Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta[J]. King Saud University,2020,12(22).
APA	Baroudy, Ahmed A. El.,Ali, Abdelraouf. M..,Mohamed, Elsayed Said.,Moghanm, Farahat S..,Shokr, Mohamed S..,...&Lasaponara, Rosa.(2020).Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta.SUSTAINABILITY,12(22).
MLA	Baroudy, Ahmed A. El,et al."Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta".SUSTAINABILITY 12.22(2020).