This page has only limited features, please log in for full access.

Prof. Elsayed Mohamed
National Authority for Remote Sensing & Space Sciences

Basic Info


Research Keywords & Expertise

0 soil erosion modelling
0 Land degradation
0 soil and land protection
0 Soil Pollution Monitoring
0 Precesion Agriculture

Fingerprints

Land degradation

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
Profile ImageMohamed Abdel-Fattah Associate professor, Soil Sc...
Following: 1 user
View all

Feed

Journal article
Published: 08 February 2021 in Sustainability
Reads 0
Downloads 0

Soil quality assessment is the first step towards precision farming and agricultural management. In the present study, a multivariate analysis and geographical information system (GIS) were used to assess and map a soil quality index (SQI) in El-Fayoum depression in the Western Desert of Egypt. For this purpose, a total of 36 geo-referenced representative soil samples (0–0.6 m) were collected and analyzed according to standardized protocols. Principal component analysis (PCA) was used to reduce the dataset into new variables, to avoid multi-collinearity, and to determine relative weights (Wi) and soil indicators (Si), which were used to obtain the soil quality index (SQI). The zones of soil quality were determined using principal component scores and cluster analysis of soil properties. A soil quality index map was generated using a geostatistical approach based on ordinary kriging (OK) interpolation. The results show that the soil data can be classified into three clusters: Cluster I represents about 13.89% of soil samples, Cluster II represents about 16.6% of samples, and Cluster III represents the rest of the soil data (69.44% of samples). In addition, the simulation results of cluster analysis using the Monte Carlo method show satisfactory results for all clusters. The SQI results reveal that the study area is classified into three zones: very good, good, and fair soil quality. The areas categorized as very good and good quality occupy about 14.48% and 50.77% of the total surface investigated, and fair soil quality (mainly due to salinity and low soil nutrients) constitutes about 34.75%. As a whole, the results indicate that the joint use of PCA and GIS allows for an accurate and effective assessment of the SQI.

ACS Style

Mohamed K. Abdel-Fattah; Elsayed Said Mohamed; Enas M. Wagdi; Sahar A. Shahin; Ali A. Aldosari; Rosa Lasaponara; Manal A. Alnaimy. Quantitative Evaluation of Soil Quality Using Principal Component Analysis: The Case Study of El-Fayoum Depression Egypt. Sustainability 2021, 13, 1824 .

AMA Style

Mohamed K. Abdel-Fattah, Elsayed Said Mohamed, Enas M. Wagdi, Sahar A. Shahin, Ali A. Aldosari, Rosa Lasaponara, Manal A. Alnaimy. Quantitative Evaluation of Soil Quality Using Principal Component Analysis: The Case Study of El-Fayoum Depression Egypt. Sustainability. 2021; 13 (4):1824.

Chicago/Turabian Style

Mohamed K. Abdel-Fattah; Elsayed Said Mohamed; Enas M. Wagdi; Sahar A. Shahin; Ali A. Aldosari; Rosa Lasaponara; Manal A. Alnaimy. 2021. "Quantitative Evaluation of Soil Quality Using Principal Component Analysis: The Case Study of El-Fayoum Depression Egypt." Sustainability 13, no. 4: 1824.

Journal article
Published: 19 November 2020 in Sustainability
Reads 0
Downloads 0

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 R2 values was provided by the model herein proposed, with R2 equal to 0.92, followed by MicroLES, Storie, ALES and Root as R2 with value equal to 0.87, 0.86, 0.84 and 0.84, respectively, with increasing percentage in R2 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.

ACS Style

Ahmed A. El Baroudy; Abdelraouf. M. Ali; Elsayed Said Mohamed; Farahat S. Moghanm; Mohamed S. Shokr; Igor Savin; Anton Poddubsky; Zheli Ding; Ahmed M.S. Kheir; Ali A. Aldosari; Abdelaziz Elfadaly; Peter Dokukin; Rosa Lasaponara. Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta. Sustainability 2020, 12, 9653 .

AMA Style

Ahmed A. El Baroudy, Abdelraouf. M. Ali, Elsayed Said Mohamed, Farahat S. Moghanm, Mohamed S. Shokr, Igor Savin, Anton Poddubsky, Zheli Ding, Ahmed M.S. Kheir, Ali A. Aldosari, Abdelaziz Elfadaly, Peter Dokukin, Rosa Lasaponara. Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta. Sustainability. 2020; 12 (22):9653.

Chicago/Turabian Style

Ahmed A. El Baroudy; Abdelraouf. M. Ali; Elsayed Said Mohamed; Farahat S. Moghanm; Mohamed S. Shokr; Igor Savin; Anton Poddubsky; Zheli Ding; Ahmed M.S. Kheir; Ali A. Aldosari; Abdelaziz Elfadaly; Peter Dokukin; Rosa Lasaponara. 2020. "Modeling Land Suitability for Rice Crop Using Remote Sensing and Soil Quality Indicators: The Case Study of the Nile Delta." Sustainability 12, no. 22: 9653.

Journal article
Published: 12 November 2020 in Remote Sensing
Reads 0
Downloads 0

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 R2 was 0.89, 0.72, 0.91, 0.65, and 0.75, respectively) and quite satisfactory results from Landsat-8 OLI images (correlation R2 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.

ACS Style

Elsayed Said Mohamed; A. A El Baroudy; T. El-Beshbeshy; M. Emam; A. A. Belal; Abdelaziz Elfadaly; Ali A. Aldosari; Abdelraouf. M. Ali; Rosa Lasaponara. 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 2020, 12, 3716 .

AMA Style

Elsayed Said Mohamed, A. A El Baroudy, T. El-Beshbeshy, M. Emam, A. A. Belal, Abdelaziz Elfadaly, Ali A. Aldosari, Abdelraouf. M. Ali, Rosa Lasaponara. 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. 2020; 12 (22):3716.

Chicago/Turabian Style

Elsayed Said Mohamed; A. A El Baroudy; T. El-Beshbeshy; M. Emam; A. A. Belal; Abdelaziz Elfadaly; Ali A. Aldosari; Abdelraouf. M. Ali; Rosa Lasaponara. 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, no. 22: 3716.

Journal article
Published: 11 September 2020 in Water
Reads 0
Downloads 0

Water scarcity and suitable irrigation water management in arid regions represent tangible challenges for sustainable agriculture. The current study aimed to apply multivariate analysis and to develop a simplified water quality assessment using principal component analysis (PCA) and the agglomerative hierarchical clustering (AHC) technique to assess the water quality of the Bahr Mouise canal in El-Sharkia Governorate, Egypt. The proposed methods depended on the monitored water chemical composition (e.g., pH, water electrical conductivity (ECiw), Ca2+, Mg2+, Na+, K+, HCO3−, Cl−, and SO42−) during 2019. Based on the supervised classification of satellite images (Landsat 8 Operational Land Imager (OLI)), the distinguished land use/land cover types around the Bahr Mouise canal were agriculture, urban, and water bodies, while the dominating land use was agriculture. The water quality of the Bahr Mouise canal was classified into two classes based on the application of the irrigation water quality index (IWQI), while the water quality was classified into three classes using the PCA and AHC methods. Temporal variations in water quality were investigated, where the water qualities in winter, autumn, and spring (January, February, March, April, November, and December) were classified as class I (no restrictions) based on IWQI application, and the water salinity, sodicity, and/or alkalinity did not represent limiting factors for irrigation water quality. On the other hand, in the summer season (May, June, July, August, and October), the irrigation water was classified as class II (low restrictions); therefore, irrigation processes during summer may lead to an increase in the alkalinity hazard. The PCA classifications were compared with the IWQI results; the PCA classifications had similar assessment results during the year, except in September, while the water quality was assigned to class II using the PCA method and class I by applying the IWQI. Furthermore, the normalized difference vegetation index (NDVI) around the Bahr Mouise canal over eight months and climatic data assisted in explaining the fluctuations in water quality during 2019 as a result of changing the crop season and agriculture management. Assessments of water quality help to conserve soil, reduce degradation risk, and support decision makers in order to obtain sustainable agriculture, especially under water irrigation scarcity and the limited agricultural land in such an arid region.

ACS Style

Mohamed K. Abdel-Fattah; Sameh Kotb Abd-Elmabod; Ali A. Aldosari; Ahmed S. Elrys; Elsayed Said Mohamed. Multivariate Analysis for Assessing Irrigation Water Quality: A Case Study of the Bahr Mouise Canal, Eastern Nile Delta. Water 2020, 12, 2537 .

AMA Style

Mohamed K. Abdel-Fattah, Sameh Kotb Abd-Elmabod, Ali A. Aldosari, Ahmed S. Elrys, Elsayed Said Mohamed. Multivariate Analysis for Assessing Irrigation Water Quality: A Case Study of the Bahr Mouise Canal, Eastern Nile Delta. Water. 2020; 12 (9):2537.

Chicago/Turabian Style

Mohamed K. Abdel-Fattah; Sameh Kotb Abd-Elmabod; Ali A. Aldosari; Ahmed S. Elrys; Elsayed Said Mohamed. 2020. "Multivariate Analysis for Assessing Irrigation Water Quality: A Case Study of the Bahr Mouise Canal, Eastern Nile Delta." Water 12, no. 9: 2537.

Journal article
Published: 03 September 2020 in Agronomy
Reads 0
Downloads 0

The development of the agricultural sector is considered the backbone of sustainable development in Egypt. While the developing countries of the world face many challenges regarding food security due to rapid population growth and limited agricultural resources, this study aimed to assess the soils of Sidi Barrani and Salloum using multivariate analysis to determine the land capability and crop suitability for potential alternative crop uses, based on using principal component analysis (PCA), agglomerative hierarchical cluster analysis (AHC) and the Almagra model of MicroLEIS. In total, 24 soil profiles were dug, to represent the geomorphic units of the study area, and the soil physicochemical parameters were analyzed in laboratory. The land capability assessment was classified into five significant classes (C1 to C5) based on AHC and PCA analyses. The class C1 represents the highest capable class while C5 is assigned to lowest class. The results indicated that about 7% of the total area was classified as highly capable land (C1), which is area characterized by high concentrations of macronutrients (N, P, K) and low soil salinity value. However, about 52% of the total area was assigned to moderately high class (C2), and 29% was allocated in moderate class (C3), whilst the remaining area (12%) was classified as the low (C4) and not capable (C5) classes, due to soil limitations such as shallow soil depth, high salinity, and increased erosion susceptibility. Moreover, the results of the Almagra soil suitability model for ten crops were described into four suitability classes, while about 37% of the study area was allocated in the highly suitable class (S2) for wheat, olive, alfalfa, sugar beet and fig. Furthermore, 13% of the area was categorized as highly suitable soil (S2) for citrus and peach. On the other hand, about 50% of the total area was assigned to the marginal class (S4) for most of the selected crops. Hence, the use of multivariate analysis, mapping land capability and modeling the soil suitability for diverse crops help the decision makers with regard to potential agricultural development.

ACS Style

Mohamed El Sayed Said; Abdelraouf. M. Ali; Maurizio Borin; Sameh Kotb Abd-Elmabod; Ali A. Aldosari; Mohamed M. N. Khalil; Mohamed K. Abdel-Fattah. On the Use of Multivariate Analysis and Land Evaluation for Potential Agricultural Development of the Northwestern Coast of Egypt. Agronomy 2020, 10, 1318 .

AMA Style

Mohamed El Sayed Said, Abdelraouf. M. Ali, Maurizio Borin, Sameh Kotb Abd-Elmabod, Ali A. Aldosari, Mohamed M. N. Khalil, Mohamed K. Abdel-Fattah. On the Use of Multivariate Analysis and Land Evaluation for Potential Agricultural Development of the Northwestern Coast of Egypt. Agronomy. 2020; 10 (9):1318.

Chicago/Turabian Style

Mohamed El Sayed Said; Abdelraouf. M. Ali; Maurizio Borin; Sameh Kotb Abd-Elmabod; Ali A. Aldosari; Mohamed M. N. Khalil; Mohamed K. Abdel-Fattah. 2020. "On the Use of Multivariate Analysis and Land Evaluation for Potential Agricultural Development of the Northwestern Coast of Egypt." Agronomy 10, no. 9: 1318.

Journal article
Published: 12 December 2019 in Bulletin of the National Research Centre
Reads 0
Downloads 0

Background Evaluation of surface runoff is an essential factor in the precision water and soil conservation management through their main extreme impacts on soil properties. The natural resource conservation service curve number model (NRCS-CN) model is used to estimate the magnitude of runoff. Collected topographic data is used to explain the effects of slope variation on water retention and surface runoff. Twenty-eight soil profiles are prepared in Nile delta, Egypt to cover different geomorphic units and hydrological soil groups in the study area. Results The results revealed that the highest value of surface runoff was distinguished close to the urban area and ranges between 40 and 50 mm. In urban areas, the surfaces are paved and there are no infiltration of water. Consequently, the runoff water directly flows to the storm channels. Runoff values ranging between 30 and 40 mm occurred at the north of the study area. The sloping surface and the nature of the clay soil contributed to generate more runoff than do lowland areas. Conclusion The study presented and tested the hydric runoff estimation based-model on the integrating of hydric balance parameters. The GIS tools analyze and compose these parameters to perform an indirect method for the quantity of water that results in direct surface runoff flow. This method helps to gain clear imaging of the surface runoff risks in the study area.

ACS Style

E. S. Mohamed; Abdel-Aziz Belal; Mohamed Abu-Hashim. Quantitative assessment of surface runoff at arid region: a case study in the Middle of Nile Delta. Bulletin of the National Research Centre 2019, 43, 1 -10.

AMA Style

E. S. Mohamed, Abdel-Aziz Belal, Mohamed Abu-Hashim. Quantitative assessment of surface runoff at arid region: a case study in the Middle of Nile Delta. Bulletin of the National Research Centre. 2019; 43 (1):1-10.

Chicago/Turabian Style

E. S. Mohamed; Abdel-Aziz Belal; Mohamed Abu-Hashim. 2019. "Quantitative assessment of surface runoff at arid region: a case study in the Middle of Nile Delta." Bulletin of the National Research Centre 43, no. 1: 1-10.

Journal article
Published: 27 August 2019 in Sustainability
Reads 0
Downloads 0

Soil sealing is currently one of the most critical barriers to sustainable development, particularly in developing countries such as Egypt. Agriculture is a major component of the Egyptian economy and the country’s main source of food security. Urbanization is devouring vast areas of agricultural land, and therefore, in the present study, urbanization was used to determine the degree of soil sealing in a region of Kafr El Sheikh Governorate, Egypt. In this work, remote sensing data were used to monitor changes in land use and land cover (LULC) between 1984 and 2016. A field survey and population data were also used in the analysis. Support vector machine (SVM) classification was used to produce LULC maps of the study area. An accuracy assessment was performed by calculating overall accuracy and individual kappa coefficients. Additionally, soil sealing was assessed using data from 1984 to 2016, and the potential expansion of soil sealing until 2048 was simulated using the cellular automata (CA)–Markov model. Our analysis showed that in the study area (i) about 90% of the soils had soil capability degrees between class II and class III; (ii) soil sealing was not uniformly distributed in the study area; (iii) between 1984 and 2016, the area of soil sealing in fertile soils due to urbanization increased by 19,500 hectares; and (iv) between 1984 and 2000, the urban area increased by around 29%, whereas between 2000 and 2010 it increased by around 43.6%. The results suggest that the magnitude of soil sealing is a good indicator of the soil loss rate and the potential for agricultural development in the Nile Delta. The model predicted that by 2048 an area of 32,290 hectares of agricultural soil will be lost to urbanization. This study indicates that the change of LULC has a negative impact on soil sealing. Between 2000 and 2010, the area of agricultural land decreased by 4%, despite an increase in land reclamation in the north of the study area. The amount of soil sealing was found to increase towards the southeast and northeast of the study area, except for the northern parts, where the amount of soil sealing increased towards the east. Our analyses and forecasts are useful for decision-makers responsible for soil-sealing mitigation strategies and soil-sealing protection plans in the Kafr El Sheikh Governorate, Egypt.

ACS Style

Ehab Hendawy; A. A. Belal; E. S. Mohamed; Abdelaziz Elfadaly; Beniamino Murgante; Ali A. Aldosari; Rosa Lasaponara. The Prediction and Assessment of the Impacts of Soil Sealing on Agricultural Land in the North Nile Delta (Egypt) Using Satellite Data and GIS Modeling. Sustainability 2019, 11, 4662 .

AMA Style

Ehab Hendawy, A. A. Belal, E. S. Mohamed, Abdelaziz Elfadaly, Beniamino Murgante, Ali A. Aldosari, Rosa Lasaponara. The Prediction and Assessment of the Impacts of Soil Sealing on Agricultural Land in the North Nile Delta (Egypt) Using Satellite Data and GIS Modeling. Sustainability. 2019; 11 (17):4662.

Chicago/Turabian Style

Ehab Hendawy; A. A. Belal; E. S. Mohamed; Abdelaziz Elfadaly; Beniamino Murgante; Ali A. Aldosari; Rosa Lasaponara. 2019. "The Prediction and Assessment of the Impacts of Soil Sealing on Agricultural Land in the North Nile Delta (Egypt) Using Satellite Data and GIS Modeling." Sustainability 11, no. 17: 4662.

Journal article
Published: 08 May 2019 in Sustainability
Reads 0
Downloads 0

The study aims to clarify the relationship between soil organic carbon (SOC) and human activity under arid conditions, in the east area of the Nile Delta, Egypt. SOC is one of the critical factors in food production and plays an important role in the climate change because it affects the physio-chemical soil characteristics, plant growth, and contributes to sustainable development on global levels. For the purpose of our investigations, 120 soil samples (0–30 cm) were collected throughout different land uses and soil types of the study area. Multiple linear regressions (MLR) were used to investigate the spatiotemporal relationship of SOC, soil characteristics, and environmental factors. Remote sensing data acquired from Landsat 5 TM in July 1995 and operational land imager (OLI) in July 2018 were used to model SOC pool. The results revealed significant variations of soil organic carbon pool (SOCP) among different soil textures and land-uses. Soil with high clay content revealed an increase in the percentage of soil organic carbon, and had mean SOCP of 6.08 ± 1.91 Mg C ha−1, followed by clay loams and loamy soils. The higher values of SOCP were observed in the northern regions of the study area. The phenomenon is associated with the expansion of the human activity of initiating fish ponds that reflected higher values of SOC that were related to the organic additions used as nutrients for fish. Nevertheless, the SOC values decreased in southeast of the study area with the decrease of soil moisture contents and the increase in the heavy texture profiles. As a whole, our findings pointed out that the human factor has had a significant impact on the variation of soil organic carbon values in the Eastern Nile Delta from 1995 to 2018. As land use changes from agricultural activity to fish ponds, the SOCP significantly increased. The agriculture land-use revealed higher SOCP with 60.77 Mg C ha−1 in clay soils followed by fish ponds with 53.43 Mg C ha−1. The results also showed a decrease in SOCP values due to an increasing in land surface temperature (LST) thus highlighting that influence of temperature and ambient soil conditions linked to land-use changes have a marked impact on surface SOCP and C sequestration.

ACS Style

Elsayed Mohamed; Mohamed Abu-Hashim; Mohamed AbdelRahman; Brigitta Schütt; Rosa Lasaponara. Evaluating the Effects of Human Activity over the Last Decades on the Soil Organic Carbon Pool Using Satellite Imagery and GIS Techniques in the Nile Delta Area, Egypt. Sustainability 2019, 11, 2644 .

AMA Style

Elsayed Mohamed, Mohamed Abu-Hashim, Mohamed AbdelRahman, Brigitta Schütt, Rosa Lasaponara. Evaluating the Effects of Human Activity over the Last Decades on the Soil Organic Carbon Pool Using Satellite Imagery and GIS Techniques in the Nile Delta Area, Egypt. Sustainability. 2019; 11 (9):2644.

Chicago/Turabian Style

Elsayed Mohamed; Mohamed Abu-Hashim; Mohamed AbdelRahman; Brigitta Schütt; Rosa Lasaponara. 2019. "Evaluating the Effects of Human Activity over the Last Decades on the Soil Organic Carbon Pool Using Satellite Imagery and GIS Techniques in the Nile Delta Area, Egypt." Sustainability 11, no. 9: 2644.

Journal article
Published: 26 April 2019 in The Egyptian Journal of Remote Sensing and Space Science
Reads 0
Downloads 0

Estimation of soil moisture content (SMC) is an important aspect of precision irrigation water management. Soil moisture content affects several factors such as vegetation cover, evapotranspiration (ET) and crop growth. This study aims to predict soil moisture content using optical remote sensing data and Synthetic Aperture Radar (SAR) Sentinel-1 data and the correlation with crop pattern. The study was carried out in the east of Nile Delta of Egypt (30° 31 to 30° 33 N, 31° 55 to 31° 05 E). A number of 100 surface soil samples (0–10) were collected to represent different soil types in the study area. Soil moisture index (SMI) is assessed based on thermal remote sensing data as Land Surface Temperature (LST) besides, Sentinel-1 data. The results showed a high correlation between SMC and SMI, coefficient of determination (R2) reached 0.81 between actual soil moisture and SMI. Furthermore, a significant correlation was also shown by Sentinel-1 data, with R2 0.83 between actual soil moisture content and backscattering coefficient (dB). The thermal data gives significant results to predict soil moisture content. The Accurate discrimination of crop varieties is considered as effective factor in explaining the distribution of soil moisture where moisture is associated with the crop type. These results can be useful as a good indicator for irrigation control at large scale.

ACS Style

Elsayed Mohamed; AbdelRaouf M. Ali; Mohammed El-Shirbeny; Khaled Abutaleb; Sameh M. Shaddad. Mapping soil moisture and their correlation with crop pattern using remotely sensed data in arid region. The Egyptian Journal of Remote Sensing and Space Science 2019, 23, 347 -353.

AMA Style

Elsayed Mohamed, AbdelRaouf M. Ali, Mohammed El-Shirbeny, Khaled Abutaleb, Sameh M. Shaddad. Mapping soil moisture and their correlation with crop pattern using remotely sensed data in arid region. The Egyptian Journal of Remote Sensing and Space Science. 2019; 23 (3):347-353.

Chicago/Turabian Style

Elsayed Mohamed; AbdelRaouf M. Ali; Mohammed El-Shirbeny; Khaled Abutaleb; Sameh M. Shaddad. 2019. "Mapping soil moisture and their correlation with crop pattern using remotely sensed data in arid region." The Egyptian Journal of Remote Sensing and Space Science 23, no. 3: 347-353.

Journal article
Published: 12 April 2019 in Journal of African Earth Sciences
Reads 0
Downloads 0

The aim of this paper was to test the capability of thermal remote sensing in monitoring waterlogged areas in Ismailia governorate based on surface soil moisture retrieval. Three landsat satellite images 5, 7 and 8 (TM, ETM+ and TIRS) were used for this purpose during three different dates (1998, 2008 and 2015). Soil moisture index (SMI) was produced based on calculated Land surface temperature (LST). Fifty five soil profiles have been dug to measure the depth of water tables of the study area. SMI Validation was carried out in 2015 using surface soil samples from the upper 5 cm in which actual moisture content was estimated. Digital change detection techniques for SMI were applied in order to monitor the change in the surface soil moisture along two time periods (1998–2008), (2008–2015). The results indicated that the spatio-temporal variations of soil moisture content are associated with soil texture, landuse/landcover, soil elevation and water table levels. Correlation between actual and retrieved soil moisture revealed a moderate correlation relationship with R2 = 0.61. Furthermore, an increase of water table eastern the study area. Also the results illustrated the increasing of water table is a direct relation with soil moisture. In addition, an increase in the surface soil moisture (SSM) recognized in 22.06% of the study area from 1998 to 2008 while, 40.55% of the area showed an increased in the SSM from 2008 to 2015. This continuous increase in the SSM could be prone to the increasing agricultural expansion and water table levels which, led to conversion of sabkhas to water bodies and fish farms. SMI could be an effective tool in mapping waterlogged areas.

ACS Style

A.M. Hassan; A.A. Belal; Mohamed Hassan; F.M. Farag; Elsayed Mohamed. Potential of thermal remote sensing techniques in monitoring waterlogged area based on surface soil moisture retrieval. Journal of African Earth Sciences 2019, 155, 64 -74.

AMA Style

A.M. Hassan, A.A. Belal, Mohamed Hassan, F.M. Farag, Elsayed Mohamed. Potential of thermal remote sensing techniques in monitoring waterlogged area based on surface soil moisture retrieval. Journal of African Earth Sciences. 2019; 155 ():64-74.

Chicago/Turabian Style

A.M. Hassan; A.A. Belal; Mohamed Hassan; F.M. Farag; Elsayed Mohamed. 2019. "Potential of thermal remote sensing techniques in monitoring waterlogged area based on surface soil moisture retrieval." Journal of African Earth Sciences 155, no. : 64-74.

Journal article
Published: 07 December 2018 in The Egyptian Journal of Remote Sensing and Space Science
Reads 0
Downloads 0

This study was conducted to assess Soil Quality Indicators (SQIs) in some cultivated soils in North Delta, Egypt. Two methodologies were implemented (Simple additive SQI1 and Weighted additive SQI2) to assess Soil Quality (SQ) status. SQ was determined qualitatively and quantitatively based on field study and laboratory analysis. In addition the results of both methods were evaluated statistically. Soil Quality Indices (SQI) were examined based on vertical and horizontal soil properties. Twenty potential physiochemical SQIs of sixty soil profiles were assessed. The physiochemical parameters considered in this study were given SQ rate based on each parameter standard rate. The results demonstrated that the assessment of soil Quality based on both methods are similar with significant correlation in the case of well distributed soil samples. SQI2 Outperform SQI1 in comprising all indicators, while SQI1 is timely appreciated economically preferable. The differences in results of SQI1 and SQI2 are mainly due to the numbers of SQIs considered in the calculations and the variations of soil properties through the soil profile. The results indicated that north part of the area characterized by low SQ while the south portion is high SQ whilst the eastern part is moderate. However the low value of SQ in north Nile Delta is mainly associated with the levels of soil salinity, soil compaction and waterlogging.

ACS Style

Mohamed A.E. AbdelRahman; A. Shalaby; Elsayed Mohamed. Comparison of two soil quality indices using two methods based on geographic information system. The Egyptian Journal of Remote Sensing and Space Science 2018, 22, 127 -136.

AMA Style

Mohamed A.E. AbdelRahman, A. Shalaby, Elsayed Mohamed. Comparison of two soil quality indices using two methods based on geographic information system. The Egyptian Journal of Remote Sensing and Space Science. 2018; 22 (2):127-136.

Chicago/Turabian Style

Mohamed A.E. AbdelRahman; A. Shalaby; Elsayed Mohamed. 2018. "Comparison of two soil quality indices using two methods based on geographic information system." The Egyptian Journal of Remote Sensing and Space Science 22, no. 2: 127-136.

Journal article
Published: 07 December 2018 in The Egyptian Journal of Remote Sensing and Space Science
Reads 0
Downloads 0

Soil salinization is one of the most serious problems facing soil fertility, crop productivity and sustainable agricultural development in Egypt. The risk of salinization is present, when it leads to toxicity. This study focuses on evaluation of soil salinization at East of Nile Delta to enhance management strategy program using geographical information system (GIS). Two different classifications of salt-affected soils, agronomic classification and Russian classification, were used. Ninety-two surface soil samples were collected at depth 0–30 cm. Inverse distance weighting (IDW) was used for spatial distribution mapping of soil salinity and salinization degree. Normalized Difference Vegetation Index (NDVI) was used to identify the correlation between vegetation density cover and soil salinity levels. The obtained data and salinity maps of the studied area presented that salinity levels according to agronomic classification occupied areas of 60% – non-saline, 15% slightly saline, 13% moderately saline, 2% strongly saline and 10% for extremely saline level. Nevertheless, soil salinization degrees according to Russian classification located 71% – non-saline, 10.5% – slight saline, 9% – moderate saline, 3.8% strongly saline and 5.7% for very strongly saline of the investigated area. On the other hand, the results showed reasonable correlation between NDVI, salinity (EC) and total toxic salts (%) (R2 = 0.58 with salinity and 0.65 with toxic salts). Finally, precise soil salinity management should consider the concentration of total toxic salts and chemical composition of salts.

ACS Style

A.A. Hammam; Elsayed Mohamed. Mapping soil salinity in the East Nile Delta using several methodological approaches of salinity assessment. The Egyptian Journal of Remote Sensing and Space Science 2018, 23, 125 -131.

AMA Style

A.A. Hammam, Elsayed Mohamed. Mapping soil salinity in the East Nile Delta using several methodological approaches of salinity assessment. The Egyptian Journal of Remote Sensing and Space Science. 2018; 23 (2):125-131.

Chicago/Turabian Style

A.A. Hammam; Elsayed Mohamed. 2018. "Mapping soil salinity in the East Nile Delta using several methodological approaches of salinity assessment." The Egyptian Journal of Remote Sensing and Space Science 23, no. 2: 125-131.

Chapter
Published: 21 August 2018 in World Soils Book Series
Reads 0
Downloads 0

Soil degradation issue is one of the most important factors that threaten the crop production, thereby reflecting on food security. When discussing this issue, it must take into account the factors of surrounding, such as geographical location and climate in addition to social and economic conditions. This chapter illustrates the factors causing land degradation in Egypt as an example of semi-arid condition. It was noted that, under Egyptian conditions, there are many factors that differ from one place to another. Salinization, alkalinization and waterlogging are the most common factors in North Nile Delta. In addition, the rest of the Egyptian territories suffer from urban encroachment due to the high population density, where it was noted that the area located between the main branches of Nile Delta Rosetta and Damietta has lost 30510 acres during 1984–2014 where it is converted to urban areas. Finally, this chapter reviews the different methods used to assess land degradation using advanced techniques.

ACS Style

Elsayed Mohamed; Abdel-Aziz Belal; R. R. Ali; Ahmed Saleh; Ehab A. Hendawy. Land Degradation. World Soils Book Series 2018, 159 -174.

AMA Style

Elsayed Mohamed, Abdel-Aziz Belal, R. R. Ali, Ahmed Saleh, Ehab A. Hendawy. Land Degradation. World Soils Book Series. 2018; ():159-174.

Chicago/Turabian Style

Elsayed Mohamed; Abdel-Aziz Belal; R. R. Ali; Ahmed Saleh; Ehab A. Hendawy. 2018. "Land Degradation." World Soils Book Series , no. : 159-174.

Chapter
Published: 20 June 2018 in The Handbook of Environmental Chemistry
Reads 0
Downloads 0

Actual evapotranspiration (ETa) represents crop water consumption in consideration, the water conserved in plant tissue structure representing about 1% or less. Many researchers understood the importance of ETa, and they did their best to measure or calculate ETa. Tens of experimental and mathematical models were used to calculate evapotranspiration in last century. Many weather, plant, and soil parameters were inserted in these models. Most of these models were acceptable for local scale and used for certain climate. Only a very few models were used on a global scale but need a lot of parameters and well-distributed weather stations. The crop pattern was the main obstacle to using these models on a large scale. The early satellite age was the beginning of the development of global-scale models through using satellite images to calculate ETa and manage crop water consumption. Triangle and crop water stress index (CWSI) methods were used and developed in the 1970s and the 1980s, respectively. In 1990s and beginning of 2000s, the SEBAL and SEBS models represent a new step in the way of evapotranspiration development models. In the last decade, METRIC, ETLook, Alexi, and ET watch models were developed to fill the gaps of SEBAL and SEBS models. Researchers around the world still try to modify these models to improve the results.

ACS Style

Mohammed A. El-Shirbeny; Elsayed Mohamed; Abdelazim Negm. Estimation of Crops Water Consumptions Using Remote Sensing with Case Studies from Egypt. The Handbook of Environmental Chemistry 2018, 451 -469.

AMA Style

Mohammed A. El-Shirbeny, Elsayed Mohamed, Abdelazim Negm. Estimation of Crops Water Consumptions Using Remote Sensing with Case Studies from Egypt. The Handbook of Environmental Chemistry. 2018; ():451-469.

Chicago/Turabian Style

Mohammed A. El-Shirbeny; Elsayed Mohamed; Abdelazim Negm. 2018. "Estimation of Crops Water Consumptions Using Remote Sensing with Case Studies from Egypt." The Handbook of Environmental Chemistry , no. : 451-469.

Chapter
Published: 27 April 2018 in The Handbook of Environmental Chemistry
Reads 0
Downloads 0

Increasing of population and scarcity of water resources in arid and semiarid countries are one of the major obstacles to sustain agricultural development. When we are talking about Egypt as a case study, there are many reasons that impede sustainable development. These reasons could vary according to spatial distribution. That the urban sprawl is considered one of the most serious factor that impedes the sustainable development in the Nile valley and delta. On the other hand, the northern regions of the Nile Delta face another critical situation that affects the agricultural development and maintaining its development. The northern part suffers from land degradation due to high salinity levels besides rising of the groundwater table. Therefore, this chapter focuses on the assessment of sustainable agricultural development according to several axes. It discusses land productivity, security, protection, validity, and acceptability as well as economic and social factors. Remote sensing techniques and GIS as new trends have been reviewed and considered in this chapter to assess and mapping sustainability degree. Three different methods were reviewed throughout this chapter, and these methods depend on integrating environment, economy, and society factors.

ACS Style

Elsayed Mohamed; Mohamed Abuhashim; Abdel-Aziz A. Belal. Sustainable Indicators in Arid Region: Case Study – Egypt. The Handbook of Environmental Chemistry 2018, 273 -293.

AMA Style

Elsayed Mohamed, Mohamed Abuhashim, Abdel-Aziz A. Belal. Sustainable Indicators in Arid Region: Case Study – Egypt. The Handbook of Environmental Chemistry. 2018; ():273-293.

Chicago/Turabian Style

Elsayed Mohamed; Mohamed Abuhashim; Abdel-Aziz A. Belal. 2018. "Sustainable Indicators in Arid Region: Case Study – Egypt." The Handbook of Environmental Chemistry , no. : 273-293.

Journal article
Published: 01 April 2018 in The Egyptian Journal of Remote Sensing and Space Science
Reads 0
Downloads 0
ACS Style

Elsayed Mohamed; A.M. Saleh; A.B. Belal; Abd_Allah Gad. Application of near-infrared reflectance for quantitative assessment of soil properties. The Egyptian Journal of Remote Sensing and Space Science 2018, 21, 1 -14.

AMA Style

Elsayed Mohamed, A.M. Saleh, A.B. Belal, Abd_Allah Gad. Application of near-infrared reflectance for quantitative assessment of soil properties. The Egyptian Journal of Remote Sensing and Space Science. 2018; 21 (1):1-14.

Chicago/Turabian Style

Elsayed Mohamed; A.M. Saleh; A.B. Belal; Abd_Allah Gad. 2018. "Application of near-infrared reflectance for quantitative assessment of soil properties." The Egyptian Journal of Remote Sensing and Space Science 21, no. 1: 1-14.

Journal article
Published: 15 June 2016 in Eurasian Soil Science
Reads 0
Downloads 0
ACS Style

Elsayed Mohamed; AbdelRaouf M. Ali; M. A. El Shirbeny; Afaf A. Abd El Razek; Igor Savin. Near infrared spectroscopy techniques for soil contamination assessment in the Nile Delta. Eurasian Soil Science 2016, 49, 632 -639.

AMA Style

Elsayed Mohamed, AbdelRaouf M. Ali, M. A. El Shirbeny, Afaf A. Abd El Razek, Igor Savin. Near infrared spectroscopy techniques for soil contamination assessment in the Nile Delta. Eurasian Soil Science. 2016; 49 (6):632-639.

Chicago/Turabian Style

Elsayed Mohamed; AbdelRaouf M. Ali; M. A. El Shirbeny; Afaf A. Abd El Razek; Igor Savin. 2016. "Near infrared spectroscopy techniques for soil contamination assessment in the Nile Delta." Eurasian Soil Science 49, no. 6: 632-639.

Journal article
Published: 01 December 2015 in International Soil and Water Conservation Research
Reads 0
Downloads 0

Assessment of soil water retention in arid region is an input required parameter in precision water management at large scale. Investigations were carried out in Tanta catchment in the middle Nile Delta, Egypt (30° 45 N, 30° 55 E), where collecting soil samples covered different hydrological soil groups and land-uses. Based on the natural resource conservation service curve number model (NRCS-CN), CN approach was used to investigate the effect of spatio-temporal variations of different land-uses on soil water retention. Potential soil water retention from 1990 to 2015 was reduced by 118.1 m3 per hectare with decreasing cropland area. Urbanization encroachment from 1990 to 2015 was increased by 2.13% by decreasing cropland with 15.3% (5300 ha in 2015). This resulted in losing the potential soil water retention by 625,968.42 m3 water for the whole catchment area. Impact of land degradation was pronounced, where 2.65%, 29.35%, and 1.11% of the initial crop land-use in 1990 were converted to bare soil, fallow, and urban area, respectively in 2015. Implementation of (S) value of the NRCS-CN model with GIS technique provides useful measure to identify land-use changes of potential water storage capacity at catchment scale.

ACS Style

Mohamed Abuhashim; Elsayed Mohamed; Abd-Elaziz Belal. Identification of potential soil water retention using hydric numerical model at arid regions by land-use changes. International Soil and Water Conservation Research 2015, 3, 305 -315.

AMA Style

Mohamed Abuhashim, Elsayed Mohamed, Abd-Elaziz Belal. Identification of potential soil water retention using hydric numerical model at arid regions by land-use changes. International Soil and Water Conservation Research. 2015; 3 (4):305-315.

Chicago/Turabian Style

Mohamed Abuhashim; Elsayed Mohamed; Abd-Elaziz Belal. 2015. "Identification of potential soil water retention using hydric numerical model at arid regions by land-use changes." International Soil and Water Conservation Research 3, no. 4: 305-315.

Journal article
Published: 12 October 2015 in Eurasian Soil Science
Reads 0
Downloads 0
ACS Style

Elsayed Said Mohamed; Abdelaziz Belal; Adel Shalaby. Impacts of soil sealing on potential agriculture in Egypt using remote sensing and GIS techniques. Eurasian Soil Science 2015, 48, 1159 -1169.

AMA Style

Elsayed Said Mohamed, Abdelaziz Belal, Adel Shalaby. Impacts of soil sealing on potential agriculture in Egypt using remote sensing and GIS techniques. Eurasian Soil Science. 2015; 48 (10):1159-1169.

Chicago/Turabian Style

Elsayed Said Mohamed; Abdelaziz Belal; Adel Shalaby. 2015. "Impacts of soil sealing on potential agriculture in Egypt using remote sensing and GIS techniques." Eurasian Soil Science 48, no. 10: 1159-1169.

Journal article
Published: 01 October 2015 in The Egyptian Journal of Remote Sensing and Space Science
Reads 0
Downloads 0

The socio-economic development in Egypt is based on land resources. Recently, the Egyptian government is interested in developing low desert zone areas which are located between the recent Nile flood plain and the limestone plateau, from the east and west sides, and represent an important source of aggregate materials. Therefore, this study was carried out to investigate the potentiality of El-Galaba basin soils which are located in the western part of the Aswan Governorate and are characterized by Wadi El-Kubbaniya for the horizontal agricultural expansion and their optimum agricultural use. The investigated area was remotely sensed to identify the landscape and its land resources. Terrain units were identified using draped Landsat 8 satellite image over Digital Terrain Model (DTM) to express the landscape and the associated soil mapping units. Fifteen mapping units were identified and grouped. Land capability evaluation was performed using Cervatana capability model. The results of capability modeling revealed about 3.33% of land with good use capability, 76.06% land with moderate use capability, and 0.08% marginal or non-productive land. The main capability limitations were soil and erosion risks. The Almagra model was used to produce the optimum cropping pattern and limitations of soil units. Matching the crop requirements with soil characteristics, optimum cropping pattern was obtained for wheat, corn, melon, potatoes, sunflower, sugar beet, Alfalfa, peach, citrus, and olive. The results of the study revealed the potentiality of El-Galaba basin for agricultural uses

ACS Style

A.M. Saleh; A.B. Belal; Elsayed Mohamed. Land resources assessment of El-Galaba basin, South Egypt for the potentiality of agriculture expansion using remote sensing and GIS techniques. The Egyptian Journal of Remote Sensing and Space Science 2015, 18, S19 -S30.

AMA Style

A.M. Saleh, A.B. Belal, Elsayed Mohamed. Land resources assessment of El-Galaba basin, South Egypt for the potentiality of agriculture expansion using remote sensing and GIS techniques. The Egyptian Journal of Remote Sensing and Space Science. 2015; 18 (1):S19-S30.

Chicago/Turabian Style

A.M. Saleh; A.B. Belal; Elsayed Mohamed. 2015. "Land resources assessment of El-Galaba basin, South Egypt for the potentiality of agriculture expansion using remote sensing and GIS techniques." The Egyptian Journal of Remote Sensing and Space Science 18, no. 1: S19-S30.