Author:
Liu Huaxin,Jiang Qigang,Ma Yue,Yang Qian,Shi Pengfei,Zhang Sen,Tan Yang,Xi Jing,Zhang Yibo,Liu Bin,Gao Xin
Abstract
The development of advanced and efficient methods for mapping and monitoring wetland regions is essential for wetland resources conservation, management, and sustainable development. Although remote sensing technology has been widely used for detecting wetlands information, it remains a challenge for wetlands classification due to the extremely complex spatial patterns and fuzzy boundaries. This study aims to implement a comprehensive and effective classification scheme for wetland land covers. To achieve this goal, a novel object-based multigrained cascade forest (OGCF) method with multisensor data (including Sentinel-2 and Radarsat-2 remote sensing imagery) was proposed to classify the wetlands and their adjacent land cover classes in the wetland National Natural Reserve. Moreover, a hybrid selection method (ReliefF-RF) was proposed to optimize the feature set in which the spectral and polarimetric decomposition features are contained. We obtained six spectral features from visible and shortwave infrared bands and 10 polarimetric decomposition features from the H/A/Alpha, Pauli, and Krogager decomposition methods. The experimental results showed that the OGCF method with multisource features for land cover classification in wetland regions achieved the overall accuracy and kappa coefficient of 88.20% and 0.86, respectively, which outperformed the support vector machine (SVM), extreme gradient boosting (XGBoost), random forest (RF), and deep neural network (DNN). The accuracy of the wetland classes ranged from 75.00% to 97.53%. The proposed OGCF method exhibits a good application potential for wetland land cover classification. The classification scheme in this study will make a positive contribution to wetland inventory and monitoring and be able to provide technical support for protecting and developing natural resources.
Funder
Project of China Geological Survey: National Remote Sensing Geological Survey of Global Key Zones
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference93 articles.
1. The Ramsar Convention on Wetlands at 50
2. The Ramsar Convention Manual: A Guide to the Convention on Wetlands (Ramsar, Iran, 1971);Ramsar,2013
3. The Ramsar Convention on Wetlands: Its History and Development;Matthews,1993
4. Kernel low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery
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