Combining of the HAAlpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data
المؤلفون المشاركون
Meng, Qingyan
Zhang, Linlin
Xie, Qiuxia
Wang, Chunmei
Wang, Qiao
Zhao, Shaohua
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-08-19
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Soil moisture (SM) plays important roles in surface energy conversion, crop growth, environmental protection, and drought monitoring.
As crops grow, the associated vegetation seriously affects the ability of satellites to retrieve SM data.
Here, we collected such data at different growth stages of maize using Bragg and X-Bragg scattering models based on the Freeman–Durden polarization decomposition method.
We used the H/A/Alpha polarization decomposition approach to extract accurate threshold values of decomposed scattering components.
The results showed that the H and Alpha values of bare soil areas were lower and those of vegetated areas were higher.
The threshold values of the three scattering components were 0.2–0.4 H and 7–24° Alpha for the surface scattering component, 0.6–0.9 H and 22–50° Alpha for the volume scattering component, and other values for the dihedral scattering component.
The SM data retrieved (using the X-Bragg model) on June 27, 2014, were better than those retrieved at other maize growth stages and were thus associated with the minimum root-mean-square error value (0.028).
The satellite-evaluated SM contents were in broad agreement with data measured in situ.
Our algorithm thus improves the accuracy of SM data retrieval from synthetic-aperture radar (SAR) images.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Xie, Qiuxia& Meng, Qingyan& Zhang, Linlin& Wang, Chunmei& Wang, Qiao& Zhao, Shaohua. 2018. Combining of the HAAlpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data. Advances in Meteorology،Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1119009
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Xie, Qiuxia…[et al.]. Combining of the HAAlpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data. Advances in Meteorology No. 2018 (2018), pp.1-17.
https://search.emarefa.net/detail/BIM-1119009
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Xie, Qiuxia& Meng, Qingyan& Zhang, Linlin& Wang, Chunmei& Wang, Qiao& Zhao, Shaohua. Combining of the HAAlpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data. Advances in Meteorology. 2018. Vol. 2018, no. 2018, pp.1-17.
https://search.emarefa.net/detail/BIM-1119009
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1119009
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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