Monitoring and Assessment of Urban Sprawl Expansion on Fertile Land of Nile Delta Using Multisensor Data

Similar documents
Investigation of the Effect of Transportation Network on Urban Growth by Using Satellite Images and Geographic Information Systems

Shalaby, A. & Gad, A.

Monitoring and Change Detection along the Eastern Side of Qena Bend, Nile Valley, Egypt Using GIS and Remote Sensing

Annotated Bibliography. GIS/RS Assessment of Desertification

MONITORING SALT-AFFECTED SOILS IN A REGION IN SAUDI ARABIA USING REMOTE SENSING TECHNIQUES

Soils and Water use Dept., National Research Center, Dokki, Cairo, Egypt.

Custom Soil Resource Report for Forrest County, Mississippi

Land cover/land use mapping and cha Mongolian plateau using remote sens. Title. Author(s) Bagan, Hasi; Yamagata, Yoshiki. Citation Japan.

Yanbo Huang and Guy Fipps, P.E. 2. August 25, 2006

4. Soils and soil conditions

Dynamic Expansion and Urbanization of Greater Cairo Metropolis, Egypt Ahmed Abdelhalim M. Hassan

Soil Morphology and Stratigraphy on an Erosional Footslope: Dickinson Experiment Station in Western North Dakota

VILLAGE INFORMATION SYSTEM (V.I.S) FOR WATERSHED MANAGEMENT IN THE NORTH AHMADNAGAR DISTRICT, MAHARASHTRA

Assessment of Ground Water in a Part of Coastal West Bengal using Geo-Electrical Method

Appendix 2b. NRCS Soil Survey

Morphological Changes of Reach Two of the Nile River

Planning Road Networks in New Cities Using GIS: The Case of New Sohag, Egypt

.C.V. Dr. Rafat Ramadan

Soil Map Boulder County Area, Colorado (Planet Blue Grass) Web Soil Survey National Cooperative Soil Survey

Application of Remote Sensing Techniques for Change Detection in Land Use/ Land Cover of Ratnagiri District, Maharashtra

Use of Satellite Data and GIS for Soil Mapping and Capability Assessment

Soil Map Polk County, Florida

Using Geographic Information Systems and Remote Sensing Technology to Analyze Land Use Change in Harbin, China from 2005 to 2015

DEPARTMENT OF GEOGRAPHY B.A. PROGRAMME COURSE DESCRIPTION

Custom Soil Resource Report for Multnomah County Area, Oregon

Remote Sensing and GIS Techniques for Monitoring Industrial Wastes for Baghdad City

An Internet-based Agricultural Land Use Trends Visualization System (AgLuT)

Environmental Impact Assessment Land Use and Land Cover CISMHE 7.1 INTRODUCTION

URBAN CHANGE DETECTION OF LAHORE (PAKISTAN) USING A TIME SERIES OF SATELLITE IMAGES SINCE 1972

Analysis of Landuse, Landcover Change and Urban Expansion in Akure, Nigeria (pp )

A GIS approach to generation of thematic maps to monitor tea plantations: A case study

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and

Extent. Level 1 and 2. October 2017

EXAMPLE PROBLEMS. 1. Example 1 - Column Infiltration

Abstract: About the Author:

INVESTIGATION LAND USE CHANGES IN MEGACITY ISTANBUL BETWEEN THE YEARS BY USING DIFFERENT TYPES OF SPATIAL DATA

GIS APPLICATIONS IN SOIL SURVEY UPDATES

Geographical Information System (GIS) Based Land Capability Classification of East Amhara Region, Ethiopia

Custom Soil Resource Report for Clackamas County Area, Oregon

URBAN LAND COVER AND LAND USE CLASSIFICATION USING HIGH SPATIAL RESOLUTION IMAGES AND SPATIAL METRICS

Accuracy Assessment of Land Use & Land Cover Classification (LU/LC) Case study of Shomadi area- Renk County-Upper Nile State, South Sudan

Bachelor of Biosystems Technology Faculty of Technology South Eastern University of Sri Lanka

Appendix I SOIL RATING CHART. (Storie soil Index Rating = factor A* factor B* factor C* factor X) FACTOR A- Rating on character of Physical Profile

A GIS based Land Capability Classification of Guang Watershed, Highlands of Ethiopia

4.17 Spain. Catalonia

LandScan Global Population Database

International Journal of Intellectual Advancements and Research in Engineering Computations

Urban Growth Analysis: Calculating Metrics to Quantify Urban Sprawl

Remote sensing technique to monitoring the risk of soil degradation using NDVI

Advanced Image Analysis in Disaster Response

The Governance of Land Use

Custom Soil Resource Report for Valley County, Montana

Progress and Land-Use Characteristics of Urban Sprawl in Busan Metropolitan City using Remote sensing and GIS

Land Use Mapping For Path Selection of Strategic Road Using EgyptSat-1 Imagery

A Case Study of Using Remote Sensing Data and GIS for Land Management; Catalca Region

GEOGRAPHIC INFORMATION SYSTEMS Session 8

Department of Geography: Vivekananda College for Women. Barisha, Kolkata-8. Syllabus of Post graduate Course in Geography

Soil erosion susceptibility and coastal evolution: examples in southern New Caledonia

CHANGES IN VIJAYAWADA CITY BY REMOTE SENSING AND GIS

ESTIMATION OF LANDFORM CLASSIFICATION BASED ON LAND USE AND ITS CHANGE - Use of Object-based Classification and Altitude Data -

Review Using the Geographical Information System and Remote Sensing Techniques for Soil Erosion Assessment

1. Introduction. S.S. Patil 1, Sachidananda 1, U.B. Angadi 2, and D.K. Prabhuraj 3

Application of Remote Sensing and GIS for Identification and Assessment Proceedings of AIPA 2012, INDIA 79

Custom Soil Resource Report for Clackamas County Area, Oregon

In the space provided, write the letter of the description that best matches the term or phrase. a. any form of water that falls to Earth s

Coalfields Limited. Based on Satellite Data for the Year Central Coalfields Limited Ranchi, Jharkhand. Submitted to:

Fig 1. Steps in the EcoValue Project

Hydrologic Modelling of the Upper Malaprabha Catchment using ArcView SWAT

Flood hazard mapping in Urban Council limit, Vavuniya District, Sri Lanka- A GIS approach

Monitoring Vegetation Growth of Spectrally Landsat Satellite Imagery ETM+ 7 & TM 5 for Western Region of Iraq by Using Remote Sensing Techniques.

Progress Report. Flood Hazard Mapping in Thailand

Human Activities and Environmental Risks Natural Hazards and Urban Development Issues Vallée de la Bruche, Alsace

A Help Guide for Using gssurgo to Find Potential Wetland Soil Landscapes

Custom Soil Resource Report for Palo Verde Area, California

Mapping Soils, Crops, and Rangelands by Machine Analysis of Multi-Temporal ERTS-1 Data

STANDARDIZED DATABASE OF LAND EVALUATION FOR AGRICULTURAL PRODUCTION

Wastelands Analysis and Mapping of Bhiwani District, Haryana

APPLICATION OF GIS FOR ASSESSING PRAWN FARM DEVELOPMENT IN TULLY-CARDWELL, NORTH QUEENSLAND. Zainul Hidayah

LAND USE CHANGE WITHIN THE BASIC DESIGN IN NORTH OF BAGHDAD

Implementation of GIS and Remote Sensing Techniques for Air Quality Assessment. Tarek A. E. El-Damaty and Essam Ghanem

The effect of soil physical parameters on soil erosion. Introduction. The K-factor

Land Administration and Cadastre

Satellite remote sensing and GIS used to quantify water input for rice cultivation (Rhône delta, France)

2015 Nigerian National Settlement Dataset (including Population Estimates)

Custom Soil Resource Report for Livingston Parish, Louisiana

Custom Soil Resource Report Soil Map

Changes in the Spatial Distribution of Mobile Source Emissions due to the Interactions between Land-use and Regional Transportation Systems

Scientific registration n : 2180 Symposium n : 35 Presentation : poster MULDERS M.A.

Use of Corona, Landsat TM, Spot 5 images to assess 40 years of land use/cover changes in Cavusbasi

The Road to Data in Baltimore

Hydric Rating by Map Unit Harrison County, Mississippi. Web Soil Survey National Cooperative Soil Survey

ABSTRACT The first chapter Chapter two Chapter three Chapter four

Spatiotemporal Analysis of Noida, Greater Noida and Surrounding Areas (India) Using Remote Sensing and GIS Approaches

Assembling information to develop ecological site and state and transition concepts. Brandon Bestelmeyer, Jornada Experimental Range, Las Cruces, NM

THE REVISION OF 1:50000 TOPOGRAPHIC MAP OF ONITSHA METROPOLIS, ANAMBRA STATE, NIGERIA USING NIGERIASAT-1 IMAGERY

An Internet-based Agricultural Land Use Trends Visualization System (AgLuT)

CHAPTER VII FULLY DISTRIBUTED RAINFALL-RUNOFF MODEL USING GIS

- World-wide cities are growing at a rate of 2% annually (UN 1999). - (60,3%) will reside in urban areas in 2030.

OBJECT-BASED CLASSIFICATION USING HIGH RESOLUTION SATELLITE DATA AS A TOOL FOR MANAGING TRADITIONAL JAPANESE RURAL LANDSCAPES

Digital Change Detection Using Remotely Sensed Data for Monitoring Green Space Destruction in Tabriz

Transcription:

Monitoring and Assessment of Urban Sprawl Expansion on Fertile Land of Nile Delta Using Multisensor Data Sayed M. Arafat 1, Nagwan M. Afify 1, Abdel Aziz S. Sheta 2, Mohammed S. Abd-Elwahed 2 1-Agricultural applications Dept., National Authority for Remote Sensing and Space Sciences 2-Soil Science Department, Faculty of Agriculture, Ain Shames University, Egypt KEYWORDS: Nile Delta, urban encroachment, physiography and soils ABSTRACT Urban expansion on the most productive agricultural lands in Egypt is one of the critical problems facing agriculture development in Egypt. Timely and accurate data are needed to allocate and monitor the urban encroachment areas in order to act a necessary action for regulating this catastrophic phenomenon. The objectives of this study were to utilize remotely sensed data and geographic information system (GIS) to monitor spatial and temporal changes in agricultural land use. Also, to quantify agricultural land loss due to urbanization in the study area, which is situated in the Nile Delta, covering Quesna District, Menufeyah Governorate. Monitoring of urban encroachment was based on studying the urban pattern in the years 1984,1995 and 2011.These urbanized areas were traced by the satellite data of TM in 1984 and SPOT4 in both the years of 1995 and 2011. The study cleared that the urban encroachment is dominated by an informal pattern and denatured a unique alluvium, which is irrigated by a potential power of water flow "Land- River Nile Mode". Soil profiles of this valued alluvium were classified as highly suitable taxa in the deltaic alluvial plain as "Typic Haplotorrerts clayey; in levees as Typic Torriorthents, fine loamy and in point bars as Typic Torriorthents coarse loamy. The minor units of sub deltaic outcrops have moderately suitable taxa as Typic Torriorthents, sandy. The sequent monitoring indicated that, the urbanized areas were 1212, 1545 and 2791 hectares of the total area (20457 h) in the year 1984, 1995 and 2011, respectively. The agricultural land use decreased by 321 h ( 2%) and 1234 h ( 7.4% ) between 1984 and 1995, and between 1995 and 2011, respectively. The losses of cultivated area were 30 h per year and 78 h per year within the durations from 1984 to 1995 and from 1995 to 2011respectively. The catching up of this encroachment over this alluvium was viewed as cropped- minor urbanized land pattern in the year 1984, which from economical concept must be a cropped-land pattern. This viewed landscape changed to be cropped highly-urbanized land pattern in the years of 1995 and 2011. If this urbanization rate act ahead and ceaselessly continues, the integrated loss of the remaining cultivated soil will result in the inevitable entire loss of the study area which represents the human mode of the Nile Delta Region. The demographic attributes will be in turn deformed as the Delta Nile will be entirely urbanized within duration of 199.6 years, started ahead the year 2011. INTRODUCTION AND JUSTIFICATION Alluvial soils of the Nile Delta and Wadi are the main agriculture land use in Egypt and the production of food and fiber depends mainly on these limited irrigated alluvial soils. The highly productive land of River Nile alluvium is denaturing by urban encroachment, which reflects and acts on a unique valued fertile land. This incredible mode must create a deep dramatic impression to the pedologists, economists and the decision makers. The negative effect of urban encroachment over a valued fertile land will most probably denature this cultivated land within the few coming decades which in turn creates an informal demographic feature over a deformed land pattern. Also reclaiming new lands to be cultivated is commonly a must, but is not to compensate the loss of the old cultivated areas. This reclamation requires heavy investment for demographic planning, new infra-structures, and new irrigation canals, building new settlements and establishing new agroindustries. Mohammed (2003) estimated that, 2.29 % of the arable lands of Egypt were lost to urban expansion assessed within duration of five years between the years 1989 and 1995 such lands are mostly fertile arable lands. Also a portion of Page 1

8.58 % of the Delta arable lands was lost to urbanization during the subsequent 5 years between 1995 and 2000. Egyptian National Specialized Committee (ENSC) 2003 concluded that, Egypt lost more than 672269 hectares during the period from1952 to 2002. Accordingly, it is expected that, by given the same rate of losing agricultural land, Egypt will lose all its old agriculture lands by the year 2080. Afify et al 2008 considered that the value of the River Nile alluvium is related to its site and situation. The site is highly promising for agricultural land use purposes that can be easily utilized by low level of management. This value is not only dependent on soils of high qualities, but also depends on the situation of that site as demographic attributes with specific accumulated skilled experience for a unique economical production and development. For the new reclaimed soils the agriculture development needs a high capital intensity which is not easy available for small user that may be obliged to apply the minimum applications or to subject to failure. The loss of agricultural lands leads to loosing of job opportunities as the loss of 25210 hectares yearly leads to unemployment in the old lands of the agricultural sector estimated to be 100,000 jobs opportunity yearly. In directly, losing agricultural land lead to closing down the old canals and drainage system, hence requiring additional funds to close those drains and canals otherwise, they became dumping areas with all types of wastes. Egyptian government lacks these funds in its annual budget and hence the indirect costs associated to environmental degradation and human health hazards are getting higher. It is very hardly to estimate the economic costs associated to environmental and health hazards (ENSC 2003). Information and Decision Support Center (IDSC1993) reported that, the informal areas have become one of the main characteristics of Egypt. This phenomenon makes it difficult to distinguish between residential urban and rural areas. According to ENSC 2003, the result was the deterioration of living conditions and consequently, poverty and environmental problems. This deterioration happens geographically in these informal areas, which lacks infrastructure, basic urban services and living space, together with its negative impact on the surrounding agricultural areas. The same deliberations warned that if the rate of urban proceeds at such rate; the arable alluvial Delta would disappear within 70 years. An average increase in national urbanization in the country sides of Egypt was estimated about 400% during the period from 1985 to 2003. The human acting mode on a unique valued alluvial soil of River Nile must be stopped by an urgent solution. Afify et al (2007) concluded that, the view of cropped-land pattern in the year 1947 was viewed in the year 2001 as cropped-urbanized land pattern, which lost annually 610 hectares from 1990 to 2001 in Menufeyah province. In another study, Arafat et al (2010) estimated the urban sprawl on the favor of the alluvial cultivated land in Al Qlubia Governorate from the years 1995 to 2007, and therefore predict the life time of it, concluded that 62 km2 were transformed from well cultivable arable land to urban areas This means that the urban areas have been increased by 61% in just 12 years. Also, Afify et al (2011) assessed the loss of cultivated area in North Cairo from the years 1969 to 2009, concluding that the study area lost 93% from highly suitable land for all cropping patterns. The objectives of this study are to update a call for protecting the cultivated Nile soil conveying. a precaution concerning the negative effect of urban encroachment over a valued fertile land. Also to produce timely database using the applied methods and approach that serve the purpose of monitoring this problem. MATERIALS AND METHODS The area of Quesna district was selected to represent one of the highest population densities in the middle of the Nile Delta region (figure 1). It represents also the informal urbanized areas on the most fertile soils of the delta. Data Source and Processing 1- Landsat TM5 (Thematic mapper) acquired in 1984 and SPOT4 data acquired in 1995 and 2011 were used for the assessment of urban encroachment (Figure 2). 2- Topographic maps scale 1:50000 were used for marking the geographic names and correcting the raster layers of the Satellite images. 3- Cartographic software's, of Erdas imagine10 and ArcGIS 9.3 were used for manipulating raster and vector layers within the Geographic Information System (GIS). The used parameters for GIS displays are Transverse Mercator Projection, Spheroid name of Helmert and Datum Name Old Egyptian 1907(ETM). Page 2

Polygons of physiographic units were delineated by visual interpretation, using physiographic approach, while urban extension was assessed using the modules of unsupervised classification in ERDAS Imagine software resulting in an integrated composite for the Quesna landscape. Ground truth Ground truth data collection was performed for revising the urban mapping units and classify the soil in the study area.six representative soil profiles were dug to the depth of 150 cm, and were described according to Soil Survey Manual (USDA 2003) followed by collecting representative soil samples from the subsequent layers or horizons. Figure 1: Location map of the study area (Quesna District) Laboratory analyses Laboratory analyses were carried out for particle size distribution using the pipette method (Piper, 1950), calcium carbonate using calcimeter (Black et al., 1965), gypsum content by precipitation with acetone (USDA, 1954), soil ph in the soil paste using ph meter (USDA, 1954) and total salinity measured in the saturated soil past extract (expressed as electrical conductivity EC ds/m). Soil classification: Soil attributes were classified according to USDA( 2010) and were evaluated according to Sys et al (1993). Land Cover Classification The spatial distribution of cultivated crops was defined according to the Land Cover Classification System (LCCS) by Di-Gregorio and Jansen (2004). These land cover classes were assessed based on the base of their reflected values using the cartographic software of Erdas-Imagine with the aid of its supervised classification module. RESULTS: The assessment of the River Nile sediment value Unique Physiographic soil attributes Figure 2 Split satellite scenes covering the study area in Quesna district in three dates. Image Interpretation and classification The soils of the study area have alluvial parent material which was deposited by the River Nile in flat surfaces, very deep, well drained and wellstructured fertile matrix of good water holding capacity. These physiographic-soil units are shown and described in table 1 and figure 3 as follows: Page 3

A) Deltaic alluvial plain This unit is detonating the landscape of Quesna study area, having flat surface, which was leveled under periodical water flooding during high flow periods. Table 1 shows that, the soils have clay content ranges from 40.0-56.5 % (clayey texture). Low CaCO3 contents range from 1.0 to 2.9 % by weight. The soils have very low salinity levels in the soil past extract that range from 0.9 to 5.9 ds/m. Sodium Adsorption Ratio (SAR) of the soil past extract range from 5.4 to 8.8 representing low to moderate values. The soils of this unit were classified according to USDA 2006 as "Typic Haplotorrerts, clayey", (profiles 1, 2 and 3). B) Levees These physiographic units are narrow elongated slices with relatively higher surfaces comparing to the deltaic alluvial plain. They were deposited at the side of the Rive Nile course during high discharge periods when the area was previously flooded. They were represented by two soil profiles (No 4 and 5). The soils have relatively low clay content (16.0-38 %) relative to the alluvial plain unit and the texture range from sandy loam to clay loam. they have also low CaCO3 content, low salinity levels and relatively low SAR. These soils were categorized as "Typic Torriorthents, fine loamy. alluvium in relatively higher levels as isolated sites. They still partly including bare areas, having soils of "Typic Torriorthents, sandy", (profile 7). High land suitability for irrigated agriculture on Nile alluvium The land characteristics were evaluated for the irrigated cultivation according to the system of Sys et al (1993) to assess their limitation level. It was found that topography is flat to almost flat, drainage condition is well to moderate, soil textures are dominated by clays but partly clay loams, sandy clay loams, sandy loams and loamy sands, soil depths are very deep, calcium carbonate status range from 0.5 to 4.2 % by weight. Salinity and alkalinity are ranged from 0.9 to 4.8 (ds/m) and 1.7 to 8.6 (SAR), respectively. Accordingly, it is concluded that all these soils have no limitation except the soil texture in the minor units of sub deltaic outcrops, which have moderate limitation. Consequently, the evaluation of these land attributes cleared that physiographic-soil units in the study area are highly suitable (S1) for the irrigated agriculture. For the sub deltaic outcrops (the minor units), the suitability class was assessed as moderately suitable (S2). C) Point bar This point bar was deposited in the inner of the meander bend, which seems as accurate bends of the River Nile Demietta branch in the eastern side of the study area. It was influenced by the meandering path including relatively coarser parent material than those of the aforementioned units. This point bar was represented by one soil profile (No. 6). The profile layers of these soils have relatively low clay content particularly in the deep layer. The clay content range from (8.9 28.5 %) and the texture range from loamy sand to sandy clay loam. The soils have very low CaCO3 content, low salinity levels and relatively low SAR fitting the taxonomic class of "Typic Torriorthents, coarse loamy ". D) Sub deltaic outcrops These sub deltaic outcrops are representing the relatively older sediments of the River Nile Page 4

Physiograpic units Profile No. Depth (cm) Grain size distribution Clay % Silt Sand Texture class CaCO 3 (%) ph EC (ds/m) Ca+Mg meq/l Na meq/l SAR Taxonomic class Suitability class Deltaic alluvial plain levee 1 2 3 4 5 Point bar 6 Sub Deltaic outcrop 7 0-30 43.0 25.0 32.0 C 2.6 8.0 0.9 4.1 7.7 5.4 30-60 48.5 24.0 27.5 C 2.5 7.8 4.6 18.5 36.0 11.8 60-100 56.5 26.5 17.0 C 1.4 7.6 5.7 27.5 44.0 11.9 100-120 55.0 27.0 18.0 C 1.0 7.6 5.7 24.3 44.0 12.6 0-30 46.5 36.0 17.5 C 2.3 7.5 4.9 32.0 22.5 5.6 30-60 48.5 29.0 22.5 C 2.4 7.4 5.9 31.5 31.5 7.9 60-100 46.5 29.0 24.5 C 2.9 7.4 4.7 21.5 23.5 7.2 100-150 46.5 26.0 27.5 C 1.6 7.5 4.8 21.0 27.5 8.5 0-30 47.5 23.0 29.5 C 2.7 7.6 3.7 18.0 19.2 6.4 30-60 40.0 21.5 38.5 C 1.1 7.8 2.5 12.0 15.2 6.2 60-100 41.5 21.5 37.0 C 1.3 7.7 1.4 6.5 12.0 6.7 0-30 22.5 19.5 58.0 SCL 1.8 7.6 1.1 7.8 3.6 1.8 30-60 30.0 24.0 46.0 SCL 1.6 7.8 1.4 9.4 5.3 2.4 60-100 20.0 17.0 63.0 SCL 1.6 7.7 1.3 8.3 4.9 2.4 0-30 38.0 25.5 36.5 CL 1.6 7.8 0.9 7.3 3.4 1.8 30-70 35.5 27.0 37.5 CL 1.6 7.8 0.8 5.2 3.9 2.4 70-100 16.0 4.0 80.0 SL 0.6 7.7 0.6 3.1 2.7 2.2 Table 1 Soil characteristics and suitability classes of the study area. C = Clay SCL = Sandy clay loam CL = Clay loam SL = Sandy loam LS =Loamy sand Typic Haplotorrerts, clayey Typic Torriorthents, Fine loamy 0-30 28.5 16.5 55.0 SCL 1.0 7.5 0.8 6.0 4.1 2.4 Typic 30-75 12.7 10.8 76.5 SL 0.1 7.7 1.6 8.0 7.2 3.6 Torriorthents, Coarse loamy 75-100 8.9 6.8 84.3 LS 0.0 7.9 1.5 8.5 8.3 4.0 0-35 11.7 10.8 77.5 SL 2.1 7.7 1.6 8.0 7.2 3.6 Typic 35-60 7.9 8.6 83.5 LS 3.60 7.9 1.5 8.5 8.3 4.0 Torriorthents, sandy 60-100 8.9 6.8 84.3 LS 4.2 7.9 1.5 8.5 8.3 4.0 S1 S1 S1 S2 Page 5

urbanized areas and the combined linear coverage (railways, main roads and canals 20 meters width or more). B) Cultivated land includes 17990, 17670 and 16663 hectares in the years 1984, 1995 and 2011 respectively. It is managed land for herbaceous and tree crops, which still includes sub roads having width less than 20 meters. C) Residual cultivated area (net cultivated area) includes 16911, 16591 and 15584 hectares in the years 1984, 1995 and 2011, respectively. These areas were resulted after sub roads subtraction from the cultivated land, using a factor of sub roads percentage as 5.8 % of the cultivated land (sub-roads from 2 to 20 meters width, calculated by Quick bird data images in selected areas). Figure 3: The retreated highly suitable physiographic soil units under the urban encroachment. Assessment of urban encroachment expansion The assessment of urban expansion over the Nile alluvium was observed for Quesna district covering total area of 20457 hectares. The urban expansion was monitored from the years 1984, 1995 to the year 2011 (figures 4, 5, and 6). The informal urbanization denatured about 1212, 1542 and 2791 hectares of the total area in the years 1984, 1995 and 2011 respectively as shown in table 2. The loss of cultivated area was 330 hectares (30 h per year) and 1234 hectares (78 h per year) within the durations from 1984 to 1995 and from 1995 to 2011, respectively (table 2). This rate of cultivated area loss is rapidly integrated as the residual cultivated area (16591 hectares) is decreasing and will be concreted ahead of the last catching up in the year 1995. According to this denaturing trend which related to a profound part the human mode, the cultivated land in the River Nile Delta will be most probably entirely lost within 199.5 years under a concreted landscape. Accordingly, the Nile Delta will be denatured and the demographic attributes will be deformed within a whole informal life. It is a precaution, which conveys that, by the year 2211, Egypt will most probably lose the productive cropland in the Delta under this catastrophic urban encroachment. It is most probably; that if this entire loss is detected in other scanned area of Nile Delta, the duration of this loss may well be more calamitous and flurried. Table 2: Rates of urban encroachment in Quesna study area within the duration from 1984 to 2010. Note: Total area of Quesna area (20457 hectares) and total combined coverage of roads, railways and flowing canals (849 hectares) For a well proportional calculation concerning the loss detection as shown in figure 7, the following terms were needed to be identified within this research context: A) Arable land (total areas) was a benchmark of this study as 20457 hectares, in the year 1984. This total area includes the cultivated land, bare area, Page 6

Figure 4: The arable land of the study area in the year 1984 (benchmark study) Figure 6: Urban expansions over cultivated land of the study area in 2011. Figure 5: Urban expansions over cultivated land of the study area in 1995. Figure 7: Rating change of Land cover classes of Quesna study area in the monitored years, 1984, 1995 and 2011 Page 7

Figure 8: Change Detection of Land cover distribution (- /+ %) in Quesna study area (1984-2011) Classification accuracy assessment results An error matrix and Kappa Statistics were used on classified map to determine the percentage of land cover accuracy. Table (3) identifies the error matrices for land cover map in 2011. Based on the confusion matrix, the accuracy is then expressed in terms of the kappa statistic (k) where the difference between the clustering accuracy and the chance agreement between the classes and the clusters is calculated. The overall accuracy of total classes for the entire Quesna study area was 94.85% as shown in table (4) was to utilize remotely sensed data and geographic information system (GIS) to monitor spatial and temporal changes in agricultural land use. The sequent monitoring of urban expansion on agricultural land indicated that, the urbanized areas were increased from 1212 hectares to 2791 hectares of the total area (20457 h) from the year 1984 to 2011. The agricultural land use decreased by 321 h ( 2%) and 1234 h ( 7.4% ) between 1984 and 1995, and between 1995 and 2011, respectively. The losses of cultivated area were 30 h per year and 78 h per year within the durations from 1984 to 1995 and from 1995 to 2011respectively. This viewed landscape changed to be cropped highly-urbanized land pattern in the years of 1995 and 2011. If this urbanization rate act ahead and ceaselessly continues, the integrated loss of the remaining cultivated soil will result in the inevitable entire loss of the study area which represents the human mode of the Nile Delta Region. The demographic attributes will be in turn deformed as the Delta Nile will be entirely urbanized within duration of 199.6 years, started ahead the year 2011. This work should be applied regularly to observe the amount and directions of land cover changes over time. RECOMMENDATION Table 3: Confusion matrix for the land covers classification for the study area 2011 Table 4: Accuracy totals for the classified images. 1. A definite national public supported decision for keeping the land of Nile alluvium as Protectorate. Also keeping strict monitoring daily view along the constructed new roads, to be rather protectorates under more active control 2. Reform the informal life in the old arable lands by attractive demographic movement from the Nile Delta approached by complementary socioeconomical concept. This concept is concerning setting up new societies in productive agriculture land with well-structured life parameters keeping the same demographic attributes of the moved society CONCLUSION Urban expansion on the most productive agricultural lands is one of the critical problems facing agriculture mainly on these limited irrigated alluvial soils in Egypt, which requires temporally and spatial data to allocate and monitor the urban encroachment areas in order to act a necessary action for regulating this catastrophic phenomenon. The prime objective of this study 3. Emphasis the importance of the formal life on a cropped land, correcting the human-land relationship. This relationship is needed to be as a profound part of our culture as it had been well attributed by the ancient Egyptian and has been dawned as conceptual obligations in our religious believes REFERENCES Page 8

Afify, A.A.; A.A. Mohamed and R.K. Yacoup 2007. Study on the urbanization encroachment impact on Nile Delta alluvium. Egypt. J. of Appl. Sci., 22 (11): 255-271. Afify, A.A.; S.M. Arafat; N.M. Afify and I.F. Ahmed 2008. Retreating rate estimation of the fertile alluvium in Nile Delta under the urban encroachment, using remote sensing data and GIS techniques. J. of Appl. Sci., 23 (1): 235-250. USDA 2003. Soil Survey Manual. United States Department of Agriculture (USDA), Handbook. 18, U.S. Gov. Print Off., Washington, DC.,USA USDA 2006. Keys to Soil Taxonomy. 10th Edition, United States Department of Agriculture, (USDA), USA. Afify, A. A.; S. M. Arafat; M. Aboelghar and A. A. Mohamed. 2011Physiographic soil map delineation for the Nile alluvium and desert outskirts in middle Egypt using remote sensing data of Egypt Sat-1. The Egyptian Journal of Remote Sensing and Space Sciences,13, pp 129-135. Arafat S.M., Afify A. Afify and Nagwan M. Afify (2010). Urban extension impact over Nile delta using remotely sensed data and GIS analysis. 17th International Symposium on Space Technology Management and Application General Organization of Remote Sensing GORS, Damascus, Syria, 8-10/11/2010. Black, C.A.; D.D. Evans; L.E. Ensminger; J.L. White and F.E. Clark 1965. Methods of soil analysis. Am. Soc. of Agron. Inc., Madison, Wisconsin, USA. Egyptian National Specialized Committee (ENSC) 2003. Urban encroachment and agricultural land loss: effective short term policies. Egypt. Mohammed, A.A. 2003. Changes in land use in some regions of Egypt: agriculture expansion over non arable lands versus urbanization over arable lands. Ph.D. Thesis, Fac. of Agric., Moshtohor, Zagazig Univ., Benha branch, Egypt. Piper, C.S. 1950. Soil and plant analysis. Interscience Publishers, Inc. New York, USA. Sys, C.; E. Van Ranst; J. Debaveye and F. Beernaert 1993. Land evaluation, Part III. Crop requirements agricultural publication No.7, General Administration for Development Cooperation, Ghent, Belgium. USDA 1954. Diagnosis and improvement of saline and alkaline soils (revised 1969). United States Department of Agriculture (USDA), Handbook No. 60, U.S. Govt. Printing Office, Washington, D.C., USA. Page 9