![](/images/graphics-bg.png)
A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem
المؤلفون المشاركون
Müller, Andreas
Bayer, Anita
Bachmann, Martin
Kaufmann, Hermann
المصدر
Applied and Environmental Soil Science
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-20، 20ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-09-17
دولة النشر
مصر
عدد الصفحات
20
التخصصات الرئيسية
الملخص EN
The accurate assessment of selected soil constituents can provide valuable indicators to identify and monitor land changes coupled with degradation which are frequent phenomena in semiarid regions.
Two approaches for the quantification of soil organic carbon, iron oxides, and clay content based on field and laboratory spectroscopy of natural surfaces are tested.
(1) A physical approach which is based on spectral absorption feature analysis is applied.
For every soil constituent, a set of diagnostic spectral features is selected and linked with chemical reference data by multiple linear regression (MLR) techniques.
(2) Partial least squares regression (PLS) as an exclusively statistical multivariate method is applied for comparison.
Regression models are developed based on extensive ground reference data of 163 sampled sites collected in the Thicket Biome, South Africa, where land changes are observed due to intensive overgrazing.
The approaches are assessed upon their prediction performance and significance in regard to a future quantification of soil constituents over large areas using imaging spectroscopy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bayer, Anita& Bachmann, Martin& Müller, Andreas& Kaufmann, Hermann. 2012. A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem. Applied and Environmental Soil Science،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-512434
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bayer, Anita…[et al.]. A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem. Applied and Environmental Soil Science No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-512434
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bayer, Anita& Bachmann, Martin& Müller, Andreas& Kaufmann, Hermann. A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem. Applied and Environmental Soil Science. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-512434
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-512434
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
![](/images/kashef-image.png)