Wetland Restoration Prioritization Using Artificial Neural Networks

Maleki, Saeideh; Soffianian, Alireza; Koupaei, Saeid Soltani; Baghdadi, Nicolas; EL-Hajj, Mohamad; Sheikholeslam, Farid; Pourmanafi, Saeid

doi:10.1007/s13157-019-01165-8

Cited by 11 publications

(2 citation statements)

References 40 publications

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“…Edwards et al [16]applied bioremediation measures to river restoration, using the biological characteristics of algae to increase floodplain connectivity and habitat complexity. Maleki et al [17]proposed the use of artificial neural networks for wetland ecosystem restoration. Turrión et al [18]used innovative restoration techniques to rehabilitate the mine to restore its plant communities and ecosystem functions.…”

Section: Research and Practice Of Ecological Restoration Abroadmentioning

confidence: 99%

Research Progress and Trend of Ecological Restoration of Land Space

Che

2024

FSD

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The implementation of ecological restoration of land and space is an important way to promote ecological protection and restoration, build an ecological civilization and a beautiful China, and accelerate the development of modernization in the new era. In recent years, the ecological environment has been deteriorating due to the acceleration of urbanization, the rapid warming of the global climate and the external interference of human activities. The ecological restoration of land and space is imminent, and people are paying more and more attention to this issue, especially in the fields of academia, ecology and environmental science, and some progress and results have been made. In this study, the concepts related to ecological restoration were identified, the research on ecological restoration of land space at home and abroad was systematically sorted out, and the important trends of ecological restoration research on land and space were analyzed.

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Section: Research and Practice Of Ecological Restoration Abroadmentioning

confidence: 99%

Research Progress and Trend of Ecological Restoration of Land Space

Che

2024

FSD

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“…Landsat data are currently widely used in wetland studies at global, regional, and watershed scales [13,14]. In recent years, visual interpretation [15], supervision classification [16], object-oriented classification [17], and artificial neural network algorithm [18] methods have been applied to wetland information extraction. Of these, the object-based image analysis (OBIA) technique is the most widely used.…”

Section: Introductionmentioning

confidence: 99%

Conversion of Natural Wetland to Farmland in the Tumen River Basin: Human and Environmental Factors

2021

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Wetlands play an important role in the terrestrial ecosystem. However, agricultural activities have resulted in a significant decrease in natural wetlands around the world. In the Tumen River Basin (TRB), a border area between China, the Democratic People’s Republic of Korea (DPRK), and Russia, natural wetlands have been reclaimed and converted into farmland, primarily due to the migration practices of Korean-Chinese. To understand the spatial and temporal patterns of this conversion from wetlands to farmland, Landsat remote sensing images from four time periods were analyzed. Almost 30 years of data were extracted using the object-oriented classification method combined with random forest classification. In addition, statistical analysis was conducted on the conversion from natural wetland to farmland and from farmland to wetland, as well as on the relationship between the driving factors. The results revealed that a loss of 49.2% (12,540.1 ha) of natural wetlands in the Chinese portion of the TRB was due to agricultural encroachment for grain production. At the sub-basin scale, the largest area of natural wetland converted into farmland in the past 30 years was in the Hunchun River Basin (HCH), which accounts for 22.0% (2761.2 ha) of the total. Meanwhile, 6571.4 ha of natural wetlands, mainly in the Gaya River Basin (GYH), have been restored from farmland. These changes are closely related to the migration of the agricultural populations.

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Geo-Information Tools in Implementing Nature-Based Solutions from High Altitude Wetlands: From Mapping to Decision-Making Support for Disaster Risk Reduction

Srivastava

Agarwal

2020

Nature-Based Solutions for Resilient Ecosystems and Societies

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Wetland Restoration Prioritization Using Artificial Neural Networks

Cited by 11 publications

References 40 publications

Research Progress and Trend of Ecological Restoration of Land Space

Research Progress and Trend of Ecological Restoration of Land Space

Conversion of Natural Wetland to Farmland in the Tumen River Basin: Human and Environmental Factors

Geo-Information Tools in Implementing Nature-Based Solutions from High Altitude Wetlands: From Mapping to Decision-Making Support for Disaster Risk Reduction

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