Detection of land cover changes by principle components analysis of spot hrv data : Case study : houd el-remal coastal area, el-beheira,egypt
Other Title(s)
تقييم تأثير أنشطة الإنسان على النظم الساحلية الطبيعية و المنزرعة بحوض الرمال : "محافظة البحيرة بتطبيق تحليل المكون الأساسي للأقمار الصناعية "سبوت
Joint Authors
Salim, Bushra Abu Bakr
Ayyad, Hani Muhammad
Source
Egyptian Journal of Desert Research
Issue
Vol. 54, Issue 1 (30 Jun. 2004), pp.101-119, 19 p.
Publisher
Publication Date
2004-06-30
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Earth Sciences, Water and Environment
Topics
Abstract AR
توضح هذه الدراسة تأثير أنشطة الإنسان على منطقة حوض الرمال بمحافظة البحيرة لمنطقة ممثلة للساحل الشمالي الشرقي لمصر.
و قد استخدمت تقنيات الاستشعار عن بعد لاختيار الحالة الراهنة لتغطية الأراضي و استخداماتها السائدة، و رصد مدى التغيير الذي حدث بالموائل و ذلك بمقارنة صور الأقمار الصناعية ذات الدقة العالية "سبوت".
و قد تم تطبيق طريقة خاصة من تحليل المكون الأساسي على صور الأقمار الصناعية و ذلك لتحديد مدى التغير و التي تضمنت تقلص الكثبان الرملية و استغلالها بطريقة غير رشيدة، الاستصلاح غير المرشد للأراضي و ممارسة نظم الري باستخدام مياه صرف غير المعالجة، و الامتداد العمراني غير المخطط.
و قد نتج عن ذلك تملح لبعض الأراضي الزراعية، فقد لموائل الكثبان الرملية و ما تحتويه من موارد طبيعية و نباتات فطرية، و تدهور جودة النسق البرية المرئية.
أما التأثيرات طويلة المدى على المنطقة فهي تدهور بجودة الأراضي و مواردها الطبيعية بصفة عامة بالرغم من المنافع قصيرة المدى التي قد يجلبها الإنسان من البيئة.
Abstract EN
The pressure of population on land and its limited resources is a major factor affecting sustainable development in Egypt.
Whether by over- exploitation or mismanagement, changes in land use, and therefore land cover, are taking place at an unprecedented rate that makes these lands prone to degradation.
Principal components analysis (PCA) has proved to be a powerful tool for detection of change and monitoring rates of land cover changes.
The present paper demonstrates the application of PCA on high-resolution satellite image data (SPOT-HRV) to detect land cover changes that have occurred in Houd El-Remal area, El-Beheira governorate, on the northern coastal desert of Egypt.
This area was subjected to agricultural reclamation activities by continuous sand filling of its lowlands using the sand of the dunes that exist in the vicinity, and irrigation using the deltaic untreated drainage water.
This untreated drainage water is highly saline and is not re-drained again after irrigation.
When salinity develops as a consequence of the above situation, lands are refilled again by transporting sand from the dunes and adding thick layers of sand for reactivating the land.
SPOT satellite imagery of two time frames, 1986 and 1995, were analyzed using comparative classification and spectrally-based PCA to examine the status of the major land cover classes of Houd El-Remal area and to monitor the rate of change in agricultural and urban extensions.
The land cover changes observed were: changes in structure of the dunes habitat due to human activities, soil salinization due to irrational land reclamation, and urban sprawl due to expanding population.
It was concluded that the methodology adopted for analyzing SPOT-HRV imagery was useful in assessing and monitoring land cover changes and provided valuable information to planners and decision makers in formulating land use policies, and in allocating resources in the area under study.
The study also demonstrated the immense human impacts on natural coastal habitats and loss of its natural resources, mainly sand dune.
This calls for careful use of these ecologically fragile habitats and the need for conserving its biodiversity.
American Psychological Association (APA)
Salim, Bushra Abu Bakr& Ayyad, Hani Muhammad. 2004. Detection of land cover changes by principle components analysis of spot hrv data : Case study : houd el-remal coastal area, el-beheira,egypt. Egyptian Journal of Desert Research،Vol. 54, no. 1, pp.101-119.
https://search.emarefa.net/detail/BIM-7811
Modern Language Association (MLA)
Salim, Bushra Abu Bakr& Ayyad, Hani Muhammad. Detection of land cover changes by principle components analysis of spot hrv data : Case study : houd el-remal coastal area, el-beheira,egypt. Egyptian Journal of Desert Research Vol. 54, no. 1 (2004), pp.101-119.
https://search.emarefa.net/detail/BIM-7811
American Medical Association (AMA)
Salim, Bushra Abu Bakr& Ayyad, Hani Muhammad. Detection of land cover changes by principle components analysis of spot hrv data : Case study : houd el-remal coastal area, el-beheira,egypt. Egyptian Journal of Desert Research. 2004. Vol. 54, no. 1, pp.101-119.
https://search.emarefa.net/detail/BIM-7811
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 116-p118
Record ID
BIM-7811