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Wetland Change Detection Using Cross-Fused-Based and Normalized Difference Index Analysis on Multitemporal Landsat 8 OLI
المؤلفون المشاركون
Gao, Yan
Liang, Zeyu
Wang, Biao
Wu, Yanlan
Wu, Penghai
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-05-21
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Wetlands are one of the most important ecosystems on the Earth and play a critical role in regulating regional climate, preventing floods, and reducing flood severity.
However, it is difficult to detect wetland changes in multitemporal Landsat 8 OLI satellite images due to the mixed composition of vegetation, soil, and water.
The main objective of this study is to quantify change to wetland cover by an image-to-image comparison change detection method based on the image fusion of multitemporal images.
Spectral distortion is regarded as candidate change information, which is generated by the spectral and spatial differences between multitemporal images during the process of image cross-fusion.
Meanwhile, the normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) were extracted from the cross-fused image as a normalized index image to enhance and increase the information about vegetation and water.
Then, the modified iteratively reweighted multivariate alteration detection (IR-MAD) is applied to the generally fused images and normalized difference index images, providing a good evaluation of spectral distortion.
The experimental results show that the proposed method performed better to reduce the detection errors due to the complicated areas under different ground types, especially in cultivated areas and forests.
Moreover, the proposed method was tested and quantitatively assessed and achieved an overall accuracy of 96.67% and 93.06% for the interannual and seasonal datasets, respectively.
Our method can be a tool to monitor changes in wetlands and provide effective technical support for wetland conservation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gao, Yan& Liang, Zeyu& Wang, Biao& Wu, Yanlan& Wu, Penghai. 2018. Wetland Change Detection Using Cross-Fused-Based and Normalized Difference Index Analysis on Multitemporal Landsat 8 OLI. Journal of Sensors،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1202133
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gao, Yan…[et al.]. Wetland Change Detection Using Cross-Fused-Based and Normalized Difference Index Analysis on Multitemporal Landsat 8 OLI. Journal of Sensors No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1202133
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gao, Yan& Liang, Zeyu& Wang, Biao& Wu, Yanlan& Wu, Penghai. Wetland Change Detection Using Cross-Fused-Based and Normalized Difference Index Analysis on Multitemporal Landsat 8 OLI. Journal of Sensors. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1202133
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1202133
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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