دورية أكاديمية
Automated and refined wetland mapping of Dongting Lake using migrated training samples based on temporally dense Sentinel 1/2 imagery
| العنوان: | Automated and refined wetland mapping of Dongting Lake using migrated training samples based on temporally dense Sentinel 1/2 imagery |
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| المؤلفون: | Yawen Deng, Weiguo Jiang, Ziyan Ling, Xiaoya Wang, Kaifeng Peng, Zhuo Li |
| المصدر: | International Journal of Digital Earth, Vol 16, Iss 1, Pp 3199-3221 (2023) |
| بيانات النشر: | Taylor & Francis Group, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Mathematical geography. Cartography |
| مصطلحات موضوعية: | wetland classification, continuous change detection algorithm, sample migration, time series, dongting lake wetland, google earth engine, Mathematical geography. Cartography, GA1-1776 |
| الوصف: | Wetlands provide vital ecological services for both humans and environment, necessitating continuous, refined and up-to-date mapping of wetlands for conservation and management. In this study, we developed an automated and refined wetland mapping framework integrating training sample migration method, supervised machine learning and knowledge-driven rules using Google Earth Engine (GEE) platform and open-source geospatial tools. We applied the framework to temporally dense Sentinel-1/2 imagery to produce annual refined wetland maps of the Dongting Lake Wetland (DLW) during 2015–2021. First, the continuous change detection (CCD) algorithm was utilized to migrate stable training samples. Then, annual 10 m preliminary land cover maps with 9 classes were produced using random forest algorithm and migrated samples. Ultimately, annual 10 m refined wetland maps were generated based on preliminary land cover maps via knowledge-driven rules from geometric features and available water-related inventories, with Overall Accuracy (OA) ranging from 81.82% (2015) to 93.84% (2020) and Kappa Coefficient (KC) between 0.73 (2015) and 0.91 (2020), demonstrating satisfactory performance and substantial potential for accurate, timely and type-refined wetland mapping. Our methodological framework allows rapid and accurate monitoring of wetland dynamics and could provide valuable information and methodological support for monitoring, conservation and sustainable development of wetland ecosystem. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1753-8947 1753-8955 17538947 |
| العلاقة: | https://doaj.org/toc/1753-8947Test; https://doaj.org/toc/1753-8955Test |
| DOI: | 10.1080/17538947.2023.2241428 |
| الوصول الحر: | https://doaj.org/article/b4834edfbed64e84a11a5dfbdd3f0eaaTest |
| رقم الانضمام: | edsdoj.b4834edfbed64e84a11a5dfbdd3f0eaa |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 17538947 17538955 |
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| DOI: | 10.1080/17538947.2023.2241428 |