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Estimating the wood Volume of Brutia Pine Stands (Pinus brutia Ten.) In Al- kadmous region- Tartous using satellite Images

تقدير المخزون الخشبي للصنوبر البروتي Pinus brutia Ten. في منطقة القدموس - محافظة طرطوس باستخدام الصور الفضائية

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 Publication date 2014
and research's language is العربية
 Created by Shamra Editor




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The importance of this modern technology (remote sensing) follows from the fact that it allows estimating the wood stock by knowing the value of the NDVI index, which reduces the high cost and great effort needed by traditional forestry measurements.


Artificial intelligence review:
Research summary
تتناول هذه الدراسة تقدير المخزون الخشبي للصنوبر البروتي (Pinus brutia Ten.) في منطقة القدموس بمحافظة طرطوس باستخدام الصور الفضائية. تهدف الدراسة إلى اختبار إمكانية استخدام مؤشر الاختلاف النباتي القياسي (NDVI) المحسوب من صور الأقمار الصناعية لتقدير المخزون الخشبي. تم استخدام صورة Landsat TM بدقة 30 مترًا، وأخذت في 4 يوليو 2013، وتم جمع بيانات الجرد الحراجي من 20 عينة حقلية. تم تقسيم العينات إلى مجموعتين، استخدمت الأولى (13 عينة) لتطوير نموذج رياضي يربط بين المخزون الخشبي ومؤشر NDVI، بينما استخدمت الثانية (7 عينات) لاختبار دقة النموذج. أظهرت النتائج أن النموذج الخطي بين المخزون الخشبي ومؤشر NDVI كان الأفضل، حيث بلغت قيمة R2 حوالي 0.89، وقيمة المتوسط النسبي لخطأ النموذج 1.81%، مما يعبر عن دقة جيدة للنموذج الناتج.
Critical review
دراسة نقدية: تعتبر هذه الدراسة خطوة هامة في استخدام تقنيات الاستشعار عن بعد لتقدير المخزون الخشبي، مما يقلل من التكاليف والجهود المرتبطة بالقياسات الحقلية التقليدية. ومع ذلك، يمكن تحسين الدراسة من خلال زيادة عدد العينات الحقلية وتوسيع نطاق الدراسة لتشمل مناطق أخرى. كما أن الاعتماد على صورة واحدة قد لا يكون كافيًا لتقدير دقيق للمخزون الخشبي، لذا يفضل استخدام صور متعددة مأخوذة في أوقات مختلفة من السنة لتحسين دقة النتائج. بالإضافة إلى ذلك، يمكن اختبار نماذج رياضية أخرى لتحسين دقة التقديرات.
Questions related to the research
  1. ما هو الهدف الرئيسي من هذه الدراسة؟

    الهدف الرئيسي هو اختبار إمكانية تقدير المخزون الخشبي للصنوبر البروتي باستخدام مؤشر الاختلاف النباتي القياسي (NDVI) المحسوب من الصور الفضائية.

  2. ما هي الصورة الفضائية المستخدمة في هذه الدراسة؟

    تم استخدام صورة Landsat TM بدقة 30 مترًا، وأخذت في 4 يوليو 2013.

  3. ما هو النموذج الرياضي الذي أظهر أفضل النتائج في تقدير المخزون الخشبي؟

    النموذج الخطي بين المخزون الخشبي ومؤشر NDVI أظهر أفضل النتائج، حيث بلغت قيمة R2 حوالي 0.89.

  4. ما هي التوصيات لتحسين دقة التقديرات في الدراسات المستقبلية؟

    يوصى بزيادة عدد العينات الحقلية، استخدام صور فضائية متعددة مأخوذة في أوقات مختلفة من السنة، واختبار نماذج رياضية أخرى لتحسين دقة التقديرات.


References used
الحسن , محمد عصمت . ( 2007) . معالجة الصور الرقمية في الاستشعار عن بعد . جامعة الملك سعود . 140 صفحة
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