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Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation
المؤلفون المشاركون
al-Hamdan, Mohammad Z.
Quattrochi, Dale A.
Rickman, Douglas L.
Cruise, James F.
المصدر
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-03-21
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
The characterization of forested landscapes is frequently required in civil engineering practice.
In this study, some spatial analysis techniques are presented that might be employed with Landsat TM data to analyze forest structure characteristics.
A case study is presented wherein fractal dimensions (FDs), along with a simple spatial autocorrelation technique (Moran’s I), were related to stand density parameters of the Oakmulgee National Forest located in the southeastern United States (Alabama).
The results indicate that when smaller trees do not dominate the landscape (<50%), forested areas can be differentiated according to breast sizes and thus important flood plain characteristics such as ratio of obstructed area to total area can be estimated from remotely sensed data using the studied indices.
This would facilitate the estimation of hydraulic roughness coefficients for computation of flood profiles needed for bridge design.
FD and Moran’s I remained fairly constant around the values of 2.7 and 0.9 (resp.) for samples with either greater than 50% saplings or less than 50% sawtimber and with ranges of 2.7–2.9 and 0.6–0.9 as the saplings decreased or the sawtimber increased.
Those indices can also distinguish hardwood and softwood species facilitating forested landscapes mapping for preliminary environmental impact analysis.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Hamdan, Mohammad Z.& Cruise, James F.& Rickman, Douglas L.& Quattrochi, Dale A.. 2012. Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation. Advances in Civil Engineering،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-510300
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Hamdan, Mohammad Z.…[et al.]. Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation. Advances in Civil Engineering No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-510300
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Hamdan, Mohammad Z.& Cruise, James F.& Rickman, Douglas L.& Quattrochi, Dale A.. Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation. Advances in Civil Engineering. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-510300
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-510300
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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