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Studying of vegetation change detection by using remote sensing (An applicated study on Lattakia province)

دراسة تغيرات الغطاء النباتي باستخدام تقنيات الاستشعار عن بعد (دراسة تطبيقية على محافظة اللاذقية)

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 Publication date 2017
and research's language is العربية
 Created by Shamra Editor




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The research aimed to study vegetation change detection of Lattakia province by using remote sensing techniques, By applicating Normalized Differences Vegetation Index (NDVI) due to what these techniques had from quickly, accuracy, and completely. In addition to saving efforts and money. that change detection methods have showed by applicating it on Sentinel2 images the plant situation, it's area and distribution in the studied area. In addition to knowing plant's cover changes through time passing. Putting geo databases which benefit in knowing plant situation, and the periodicity supervision for it's changes. The yearly and monthly changes of vegetation cover have been studied in Lattakia province, By making change detection for plants cover of march between (2016-2017). Then making change detection between march and august of 2017. It was observed that there were no big changes, Whether increasing or decreasing for plants cover when studying the yearly changes. While there was big decreasing of plants cover at western plain areas of province when studying the monthly changes between march and august due to raising of temperatures. And big increasing of vegetation in high areas.


Artificial intelligence review:
Research summary
تهدف الدراسة إلى تحليل تغيرات الغطاء النباتي في محافظة اللاذقية باستخدام تقنيات الاستشعار عن بعد، وذلك من خلال تطبيق قرينة التغيرات النباتية (NDVI). تمت دراسة التغيرات السنوية والشهرية للغطاء النباتي باستخدام صور الأقمار الصناعية Sentinel2. أظهرت النتائج عدم وجود تغيرات كبيرة في الغطاء النباتي عند دراسة التغيرات السنوية بين عامي 2016 و2017، بينما لوحظ تراجع كبير في الغطاء النباتي في المناطق السهلية الغربية بين شهري آذار وآب لعام 2017 بسبب ارتفاع درجات الحرارة، وتطور كبير في المناطق المرتفعة. تم استخدام برامج معالجة الصور الفضائية مثل SNAP وERDAS Imagine وGIS 10.2 لتحليل البيانات وإنشاء خرائط توضح التغيرات النباتية. توصي الدراسة بالاستفادة من منهجية البحث لرصد تغيرات الغطاء النباتي بشكل دوري ودقيق.
Critical review
دراسة نقدية: تعتبر الدراسة ذات أهمية كبيرة في مجال رصد تغيرات الغطاء النباتي باستخدام تقنيات الاستشعار عن بعد، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من الأفضل تضمين تحليل أعمق للعوامل البشرية المؤثرة على الغطاء النباتي إلى جانب العوامل الطبيعية. ثانياً، يمكن توسيع نطاق الدراسة ليشمل فترات زمنية أطول للحصول على نتائج أكثر شمولية. ثالثاً، كان من الممكن استخدام تقنيات استشعار عن بعد أخرى مثل LiDAR للحصول على بيانات أكثر دقة حول ارتفاعات النباتات وكثافتها. وأخيراً، كان من الممكن توضيح المزيد من التفاصيل حول كيفية تطبيق البرامج المستخدمة في تحليل البيانات.
Questions related to the research
  1. ما هي الأهداف الرئيسية للدراسة؟

    تهدف الدراسة إلى تحليل تغيرات الغطاء النباتي في محافظة اللاذقية باستخدام تقنيات الاستشعار عن بعد، وتحديد التغيرات السنوية والشهرية للغطاء النباتي، وإنشاء خرائط توضح هذه التغيرات.

  2. ما هي الأدوات والبرامج المستخدمة في تحليل البيانات؟

    تم استخدام برامج SNAP وERDAS Imagine وGIS 10.2 لتحليل البيانات ومعالجة الصور الفضائية.

  3. ما هي النتائج الرئيسية للدراسة؟

    أظهرت النتائج عدم وجود تغيرات كبيرة في الغطاء النباتي عند دراسة التغيرات السنوية بين عامي 2016 و2017، بينما لوحظ تراجع كبير في الغطاء النباتي في المناطق السهلية الغربية بين شهري آذار وآب لعام 2017 بسبب ارتفاع درجات الحرارة، وتطور كبير في المناطق المرتفعة.

  4. ما هي التوصيات التي قدمتها الدراسة؟

    توصي الدراسة بالاستفادة من منهجية البحث لرصد تغيرات الغطاء النباتي بشكل دوري ودقيق، والاعتماد على برامج المعالجة الرقمية لمعالجة المعطيات الفضائية وكشف التغيرات.


References used
Geological map of Syria, scale:1/1000.000, chief Geologist: v.ponikarov, compiled by: A.oufland, V.nikolav, S.kraniov, made in Moscow, USSR. All rights reserved for the ministry of petroleum and mineral resourses,1964. Printed in the general establishment of surveying, Damascus
(D.LU, P. MAUSEL, EBRONDI'ZIO; E. MORAN, (change detection techniques). INT. J. Remote sensing, 20 june. (2003
(Fundamentals of remote sensing. Canada center for remote sensing tutorial, Natural, natural resources, Canada. (2006
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