AIMC Topic: Wetlands

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Mangrove species classification using a proposed ensemble U-Net model and Planet satellite imagery: A case study in Ngoc Hien district, Ca Mau province, Vietnam.

PloS one Aug 6, 2025
Land cover and plant species identification using satellite images and deep learning approaches have recently been a widely addressed area of research. However, mangroves, a specific species that have significantly declined in quantity and quality wo...
Rhizophoraceae Satellite Imagery Vietnam Deep Learning Wetlands
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Unveiling the Role of Wetland Strategies in Antibiotic Risk Reduction across China by Machine Learning.

Environmental science & technology Jul 23, 2025
Pervasive antibiotic pollution in water environments has emerged as a serious threat to global ecosystem functions and public health. While wetland expansion─including protection, restoration, and construction, is widely promoted for sustainable wate...
China Machine Learning Wetlands Anti-Bacterial Agents
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Tracking the spatial and temporal evolution of salt marsh vegetation based on UAV sampling and seasonal phenology from Landsat data.

Journal of environmental management Jun 19, 2025
Salt marshes, valued for their ecological importance, have been increasingly degraded in recent decades. Preserving salt marshes necessitates a critical approach that involves monitoring vegetation distribution and species composition. This study pre...
Ecosystem Conservation of Natural Resources Environmental Monitoring Wetlands Unmanned Aerial Devices Machine Learning Remote Sensing Technology Seasons
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An Approach for Detecting Mangrove Areas and Mapping Species Using Multispectral Drone Imagery and Deep Learning.

Sensors (Basel, Switzerland) Apr 17, 2025
Mangrove ecosystems are important in tropical and subtropical coastal zones, contributing to marine biodiversity and maintaining marine ecological balance. It is crucial to develop more efficient, intelligent, and accurate monitoring methods for mang...
Ecosystem Deep Learning Environmental Monitoring Algorithms Biodiversity Wetlands
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Driving factors of TOC concentrations in four different types of estuaries (canal, urban, agricultural, and natural estuaries) identified by machine learning technique.

Marine pollution bulletin Feb 21, 2025
Mangroves are among the most significant organic carbon sinks on Earth. However, the drivers of mangrove carbon remain poorly understood due to the lack of data on organic carbon across different types of estuaries. In this study, boosted regression ...
Wetlands Salinity Estuaries Water Pollutants, Chemical Carbon Florida Agriculture Environmental Monitoring Machine Learning
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Assessment of wetland ecological restoration effect based on fuzzy analytic hierarchy process: a case study of Tianjin Qilihai Wetland.

Environmental monitoring and assessment Jan 4, 2025
Scientific evaluation of the effectiveness of ecological restoration could provide support for sustainable management and protection of wetlands. However, due to the multiple and difficult to quantify factors affecting wetlands, commonly used spatiot...
Conservation of Natural Resources Wetlands Fuzzy Logic Environmental Restoration and Remediation China Environmental Monitoring Ecosystem
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Reproductive performance of Channa striata in wetland ecosystems: a fuzzy logic approach to water quality and eco-climatic factors for long-term sustainable management and aquaculture advancement.

Environmental science and pollution research international Dec 10, 2024
The striped snakehead, Channa striata, is commercially and nutritionally important due to its medicinal properties, such as wound healing and antimicrobial abilities. This study investigated the reproductive biology of C. striata in relation to hydro...
Reproduction Water Quality Wetlands Bangladesh Aquaculture Fishes Animals Ecosystem Fuzzy Logic
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Schistosomiasis transmission: A machine learning analysis reveals the importance of agrochemicals on snail abundance in Rwanda.

PLoS neglected tropical diseases Dec 9, 2024
BACKGROUND: Schistosomiasis is an important snail-borne parasitic disease whose transmission is exacerbated by water resource management activities. In Rwanda, meeting the growing population's demand for food has led to wetlands reclamation for culti...
Humans Schistosomiasis Snails Agrochemicals Rwanda Machine Learning Bulinus Biomphalaria Wetlands Animals
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Understanding ecosystem services of detailed forest and wetland types using remote sensing and deep learning techniques in Northern China.

Journal of environmental management Nov 20, 2024
Spanning both temperate and sub-frigid zones, Northeast China boasts typical boreal forests and abundant wetland resources. Because of these attributes, the region is critically significant for global climate regulation, carbon sequestration, and bio...
Wetlands China Remote Sensing Technology Forests Neural Networks, Computer Biodiversity Ecosystem Soil Conservation of Natural Resources Deep Learning
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Multi-temporal image analysis of wetland dynamics using machine learning algorithms.

Journal of environmental management Nov 10, 2024
Wetlands play a crucial role in enhancing groundwater quality, mitigating natural hazards, controlling erosion, and providing essential habitats for unique flora and wildlife. Despite their significance, wetlands are facing decline in various global ...
Algorithms Ecosystem Environmental Monitoring Machine Learning Wetlands Climate Change Urbanization Conservation of Natural Resources
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