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Register a new userThe integration of Remote Sensing data and Geographic Information System for appraisal perspective ; oil and gas of polygon Salamiah (Hama)
دمج بيانات الاستشعار عن بعد و نظام المعلومات الجغرافي لتقييم الآمال النفطية و الغازية في منطقة السلمية (حماه)
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يهدف هذا البحث إلى دراسة و تقييم الآمال النفطية و الغازية لمنطقة الدراسة و ذلك من خلال دمج بيانات الاستشعار عن بعود و نظام المعلومات الجغرافي ونموذج الارتفاع الرقمي ونظام ثلاثي الأبعاد. وذلك بمساعدة برنامج (Arc GIS). لقد تمكنا من خلال هذه المعطيات من إيجاد نظام تكاملي بينها حيث تم باستخدامها: وضع خريطة البنيات الحلقية, وضع خريطة المظاهر الخطية, وضع خريطة شبكات التصريف المائية. و جميعها تمثل مؤشرات مباشرة و غير مباشرة على سطح الأرض لبنيات سطحية أو تحت سطحية، و التي تلعب دورًا هاماً في التنقيب عن النفط و الغاز.
The aim of this research is to study and prognosis oil and gas by utilization of Remote Sensing (RS) data Geographic Information System (GIS) and Digital Elevation Model (DEM), and 3D. The integration of the data by using program (Arc GIS). The integration data led to divide the lineaments circular structures and drainage network. Which present direct and indirection indicate on earth surface for surface and subsurface structures Which play important role in prospecting oil and gas.
References used
A.B. Galaktionov Damascus 1989 . Cosmic Geology Syria. Conin
Belward, Alan s. and Carlos R. ( 1991 ). Remote sensing and geographical information systems for management in developing countries London, kliwer Academic publishers
Cosmic. G.B. photography for study natural resource Nedra 1980
Jensen . J . R (1997) introduction digital image processing: A remote sensing prospectise. Prentice hall USA
"Kronberg. P. remote sensing for study earth. Moscow MIR " 1988
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Remote sensing technique is considered as one of the main sciences that grew very
fast last years. Satellite images are important and advanced source to get data about any
region on the earth. Using satellite images, integrated with geographic info
rmation system
(GIS) for mapping are considered as one of the modern applications that expanded widely
now a days.
This paper aims at integrating the techniques of remote sensing and geographic
information systems (GIS) for performing topographic study of landsat7 satellite image
taken of a part of northern part of Lattakia. The two software, Erdas Imagine and ArcGIS
are used to perform topographic analysis depending on digital processing for the image,
then analyzing its terrain. Depending on digital terrain model (DTM), 3D slope image is
derived. Land use map is written for the study area. Then, some spatial analysis are
performed to find the best positions to construct different projects that have economic
benefits.
finally, analyses and results are discussed.
Studying and drawing the soil maps is considered by using the way of data
integrating the remote sensing and the geographical information system of new and
developed technologies in which we define what all related to soil through these studies
an
d drawing maps to it for example
a possibility of drawing the following maps:
1- Drawing a map of situation and the materials of soil surface.
2- Drawing a map of difference of soil colors sensing the soil content of organic
matter.
3- A map of lands declination and their salinity and efficiency of drainage in them.
4- Drawing a map of drainage.
In the research performing and drawing the up mentioned soil maps for south-west of
Hama region by using the new technologies which they have opened for us many horizons
in all domains related to many subjects particularly, the subject of this research .
This study concentrates the use of remote sensing and geographic
information systems to identify prospective areas for water
harvesting, This study concentrates on the identification of the
potential areas for water harvesting projects in Hessia a
nd the
adjacent areas, within a total area of 1300 km2.
The data and information for the study area are collected from
different sources and satellite images. The thematic maps and
digital database were prepared through analysis and visual and
automatic interpretation of satellite images, and analysis and
intersections between different layers were procedure in order to
apply the criteria that are used in these studies to determine
optimal and typical sites for the establishment of preparation water
harvesting.
The result of this study shows the efficiency of using the remote
sensing techniques and the geographic information system in the
identification of the potential areas for water harvesting projects.
This study aimed to describe the water erosion modeling in Daher Aljabal
and its surrounding areas in Al-Sowaida Governorate based on GIA and RS.
The water erosion risk map was obtained by applying GIS model developed on
the basis of ten factors i
nfluencing the erosion process. GIS layers were built
for every factor. The weights for all factors were added together. Based on sum
of these factors, water erosion was divided into six erosion risk levels. Results
showed that 12% of the study area was classified in levels 5 and 6, which reflect
high and very high water erosion risks. Land topography was the main factor
in water soil erosion. Terraces are effective ways to decrease the water soil
erodability. Results also showed that GIS and RS were powerful tools in water
erosion risk assessment mapping.
Studing and defining the types of soils by using the method of
integrating data of remote sensing and the devices measuring the
reflex rays such as radiometer and spectrometer ….etc is considered
one of very recent technology in such study,so that
we define the
reflexed spectrum intensity for the ground targets where the soil is
one of them that directly in the field and making comparsion of this
results with images of satellites where the channels of device do on
the same spectrum ranges of the satellites.
The expense of using the ground method is high an it requires
long time comparativilty using the space images to the same target.
In this research types of soils determined their speed
boundaries,drawing a map and making the reflexed graph for them.
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