文献类型： 外文期刊

作者： Baroudy, Ahmed A. El ¹ ; Ali, Abdelraouf. M. ² ; Mohamed, Elsayed Said ³ ; Moghanm, Farahat S. ⁴ ; Shokr, Mohame ¹ ;

作者机构： 1.Tanta Univ, Fac Agr, Soil & Water Dept, Tanta 31527, Egypt

2.Peoples Friendship Univ Russia, Agr Technol Inst, Ul Miklukho Maklaya 6, Moscow 117198, Russia

3.Natl Author Remote Sensing & Space Sci NARSS, Cairo 11843, Egypt

4.Kafrelsheikh Univ, Fac Agr, Soil & Water Dept, Kafrelsheikh 33516, Egypt

5.Peoples Friendship Univ Russia, Ecol Fac, Ul Miklukho Maklaya 6, Moscow 117198, Russia

6.VV Dokuchaev Soil Sci Inst, Pyzhevsky Per 7, Moscow 119017, Russia

7.Chinese Acad Trop Agr Sci CATAS, Haikou Expt Stn, Haikou 570100, Hainan, Peoples R China

8.Agr Res Ctr, Soils Water & Environm Res Inst, Giza 12112, Egypt

9.King Saud Univ, Geog Dept, Riyadh 11451, Saudi Arabia

10.Italian Natl Res Council, I-85050 Potenza, Italy

关键词： Sentinel-2; SRTM; NDVI; GIS; soil health; soil suitability for rice; Nile Delta

期刊名称：SUSTAINABILITY （ 影响因子：3.251； 五年影响因子：3.473 ）

ISSN：

年卷期： 2020 年 12 卷 22 期

页码：

收录情况： SCI

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.