AIMC Topic: Remote Sensing Technology

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Sentinel-2 imagery coupled with machine learning to modelling water turbidity in the Doce River Basin, Brazil.

Environmental monitoring and assessment Mar 22, 2025
Remote sensing and machine learning are techniques that can be used to monitor water quality properties, surpassing the limitations of the conventional techniques. Turbidity is an important water quality property directly influenced by the Fundão dam...
Remote Sensing Technology Machine Learning Water Quality Brazil Water Pollutants, Chemical Environmental Monitoring Rivers
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Estimating Tea Plant Physiological Parameters Using Unmanned Aerial Vehicle Imagery and Machine Learning Algorithms.

Sensors (Basel, Switzerland) Mar 21, 2025
Tea ( L.) holds agricultural economic value and forestry carbon sequestration potential, with Taiwan's annual tea production exceeding TWD 7 billion. However, climate change-induced stressors threaten tea plant growth, photosynthesis, yield, and qual...
Taiwan Plant Leaves Tea Machine Learning Remote Sensing Technology Photosynthesis Camellia sinensis Algorithms Unmanned Aerial Devices
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Low-cost sensor-based algal bloom labeling: a comparative study of SVM and logic methods.

Environmental monitoring and assessment Mar 17, 2025
This study explores a low-cost sensor system for real-time algae bloom detection and water management. Harmful algal blooms (HABs) threaten water quality, ecosystems, and public health. Traditional detection methods, like satellite imagery and unmann...
Chlorophyll Chlorophyll A Remote Sensing Technology Harmful Algal Bloom Environmental Monitoring Support Vector Machine
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Forest fire susceptibility mapping using multi-criteria decision making and machine learning models in the Western Ghats of India.

Journal of environmental management Mar 9, 2025
Forest fires have significantly increased over the last decade due to shifts in rainfall patterns, warmer summers, and long spells of dry weather events in the coastal regions. Assessment of susceptibility to forest fires has become an important mana...
Forests Wildfires Geographic Information Systems India Remote Sensing Technology Fires Decision Making Machine Learning
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Deep-learning analysis of greenspace and metabolic syndrome: A street-view and remote-sensing approach.

Environmental research Mar 7, 2025
Evidence linking greenspace exposure to metabolic syndrome (MetS) remains sparse and inconsistent. This exploratory study evaluate the relationship between green visibility index (GVI) and normalized difference vegetation index (NDVI) with MetS preva...
Humans Female Aged Middle Aged Prevalence Deep Learning Adult Male Remote Sensing Technology China Metabolic Syndrome
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Hyperspectral discrimination of vegetable crops grown under organic and conventional cultivation practices: a machine learning approach.

Scientific reports Mar 6, 2025
A verifiable and regional level method for mapping crops cultivated under organic practices holds significant promise for certifying and ensuring the quality of farm products marketed as organic. The prevailing method for the identification of organi...
Organic Agriculture Remote Sensing Technology Vegetables Hyperspectral Imaging Crops, Agricultural Solanum melongena Machine Learning India
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Remote sensing of alcohol consumption using machine learning speckle pattern analysis.

Journal of biomedical optics Mar 4, 2025
SIGNIFICANCE: Alcohol consumption monitoring is essential for forensic and healthcare applications. While breath and blood alcohol concentration sensors are currently the most common methods, there is a growing need for faster, non-invasive, and more...
Machine Learning Algorithms Female Humans Image Processing, Computer-Assisted Adult Remote Sensing Technology Young Adult Male Alcohol Drinking
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Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning.

Scientific reports Feb 22, 2025
Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction. While current studies have primarily focused on detecting and counting crop plants during the early stages of low...
Unmanned Aerial Devices Amorphophallus Remote Sensing Technology Crops, Agricultural Image Processing, Computer-Assisted Deep Learning Agriculture
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Dissolved organic carbon estimation in lakes: Improving machine learning with data augmentation on fusion of multi-sensor remote sensing observations.

Water research Feb 21, 2025
This paper presents a novel approach for estimating Dissolved Organic Carbon (DOC) concentrations in lakes considering both carbon sources and sink operators. Despite the critical role of DOC, the combined application of machine learning, as a robust...
Environmental Monitoring Machine Learning Remote Sensing Technology Water Pollutants, Chemical Lakes Maine Carbon
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Remote sensing estimation of aboveground biomass of different forest types in Xinjiang based on machine learning.

Scientific reports Feb 20, 2025
Forest aboveground biomass (AGB) is a key indicator reflecting the function and quality of forest ecosystems, and accurate large-scale estimations of forest AGB are essential for effective forest ecosystem management. However, owing to limitations in...
Satellite Imagery Machine Learning Remote Sensing Technology Forests Biomass Algorithms China Ecosystem Support Vector Machine
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