AIMC Topic: Remote Sensing Technology

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Wastewater treatment plant site selection using advanced decision tree machine learning and remote sensing techniques.

Environmental science and pollution research international Dec 16, 2024
Wastewater treatment plants in Coimbatore South are under pressure from rapid urbanization, inadequate infrastructure, and industrial pollution, leading to environmental and public health concerns. This study aimed to identify suitable locations for ...
Machine Learning Wastewater Geographic Information Systems Decision Trees Remote Sensing Technology Waste Disposal, Fluid Environmental Monitoring
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Extraction of agricultural plastic greenhouses based on a U-Net convolutional neural network coupled with edge expansion and loss function improvement.

Journal of the Air & Waste Management Association (1995) Dec 12, 2024
Agricultural plastic greenhouses (APGs) are crucial for sustainable agricultural planting, and accurate spatial distribution information acquisition is crucial. Deep learning network models can extract target features from remote sensing images more ...
Neural Networks, Computer Convolutional Neural Networks Remote Sensing Technology Plastics Satellite Imagery Agriculture Environmental Monitoring
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Multitemporal monitoring of forest indicator species using UAV and machine learning image recognition.

Environmental monitoring and assessment Dec 2, 2024
In natural restoration, it is important to improve the efficiency of monitoring. Remote sensing using unmanned aerial vehicle (UAV) platforms plays a major role in improving monitoring efficiency. UAV platforms are particularly suited for monitoring ...
Rhododendron Machine Learning Environmental Monitoring Flowers Forests Unmanned Aerial Devices Remote Sensing Technology Japan
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Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning.

Sensors (Basel, Switzerland) Nov 29, 2024
Huanglongbing (HLB), also known as citrus greening disease, is a devastating disease of citrus. However, there is no known cure so far. Recently, under Section 24(c) of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA), a special local ...
Texas Unmanned Aerial Devices Machine Learning Plant Diseases Remote Sensing Technology Citrus
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Gross primary productivity estimation through remote sensing and machine learning techniques in the high Andean Region of Ecuador.

International journal of biometeorology Nov 27, 2024
Accurately estimating gross primary productivity (GPP) is crucial for simulating the carbon cycle and addressing the challenges of climate change. However, estimating GPP is challenging due to the absence of direct measurements at scales larger than ...
Ecuador Ecosystem Machine Learning Seasons Remote Sensing Technology Climate Change
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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 Forests Conservation of Natural Resources Neural Networks, Computer China Ecosystem Soil Remote Sensing Technology Deep Learning Biodiversity
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Long-term water quality assessment in coastal and inland waters: An ensemble machine-learning approach using satellite data.

Marine pollution bulletin Nov 16, 2024
Accurate estimation of coastal and in-land water quality parameters is important for managing water resources and meeting the demand of sustainable development goals. The water quality monitoring based on discrete water sample analysis is limited to ...
Environmental Monitoring Remote Sensing Technology Seawater Chlorophyll A Water Quality Machine Learning Satellite Imagery
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Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan.

Journal of environmental management Nov 2, 2024
Due to its diverse topography, Pakistan faces different types of floods each year, which cause substantial physical, environmental, and socioeconomic damage. However, the susceptibility of specific regions to different flood types remains unexplored....
Geographic Information Systems Remote Sensing Technology Floods Pakistan Machine Learning Algorithms
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Forest Aboveground Biomass Estimation Based on Unmanned Aerial Vehicle-Light Detection and Ranging and Machine Learning.

Sensors (Basel, Switzerland) Nov 2, 2024
is a widely planted species in plantation forests because of its outstanding characteristics, such as fast growth rate and high adaptability. Accurate and rapid prediction of biomass is important for plantation forest management and the prediction ...
Trees Unmanned Aerial Devices Support Vector Machine Remote Sensing Technology Light Forests Eucalyptus Algorithms Ecosystem Machine Learning Biomass
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Assessing long-term water storage dynamics in Afghanistan: An integrated approach using machine learning, hydrological models, and remote sensing.

Journal of environmental management Oct 21, 2024
Assessment of Terrestrial Water Storage (TWS) components is crucial for understanding regional climate and water resources, particularly in arid and semi-arid regions like Afghanistan. Given the scarcity of ground-based data, this study leverages rem...
Remote Sensing Technology Climate Hydrology Water Models, Theoretical Water Resources Afghanistan Machine Learning
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