AIMC Topic: Remote Sensing Technology

Clear Filters Showing 71 to 80 of 268 articles

Multi-source machine learning and spaceborne remote sensing data accurately predict three-dimensional soil moisture in an in-service uranium disposal cell.

Journal of environmental management Aug 31, 2024
One reason arid and semi-arid environments have been used to store waste is due to low groundwater recharge, presumably limiting the potential for meteoric water to mobilize and transport contaminants into groundwater. The U.S. Department of Energy O...
Uranium Environmental Monitoring Remote Sensing Technology Soil Groundwater Machine Learning
View on PubMed DOI

Mapping of temperate upland habitats using high-resolution satellite imagery and machine learning.

Environmental monitoring and assessment Aug 31, 2024
Upland habitats provide vital ecological services, yet they are highly threatened by natural and anthropogenic stressors. Monitoring these vulnerable habitats is fundamental for conservation and involves determining information about their spatial lo...
Machine Learning Ecosystem Conservation of Natural Resources Ireland Satellite Imagery Environmental Monitoring Remote Sensing Technology
View on PubMed DOI

Artificial Neural Network and Remote Sensing combined to predict the Aboveground Biomass in the Cerrado biome.

Anais da Academia Brasileira de Ciencias Aug 23, 2024
Cerrado is the second largest biome in Brazil, and it is responsible for providing us several ecosystem services, including the functions of storing Carbon and biodiversity conservation. In this study, we developed a modeling approach to predict the ...
Environmental Monitoring Remote Sensing Technology Biomass Neural Networks, Computer Brazil Ecosystem
View on PubMed DOI

Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine.

PeerJ Aug 22, 2024
BACKGROUND: Soil water content is one of the critical indicators in agricultural systems. Visible/near-infrared hyperspectral remote sensing is an effective method for soil water estimation. However, noise removal from massive spectral datasets and e...
Soil Remote Sensing Technology Wavelet Analysis Spectroscopy, Near-Infrared Machine Learning Least-Squares Analysis Water Environmental Monitoring
View on PubMed DOI

Digital innovations for monitoring sustainability in food systems.

Nature food Aug 15, 2024
Monitoring systems that incentivize, track and verify compliance with social and environmental standards are widespread in food systems. In particular, digital monitoring approaches using remote sensing, machine learning, big data, smartphones, platf...
Remote Sensing Technology Digital Technology Sustainable Development Blockchain Food Supply Big Data Humans Smartphone Machine Learning
View on PubMed DOI

ST-Phys: Unsupervised Spatio-Temporal Contrastive Remote Physiological Measurement.

IEEE journal of biomedical and health informatics Aug 6, 2024
Remote photoplethysmography (rPPG) is a non-contact method that employs facial videos for measuring physiological parameters. Existing rPPG methods have achieved remarkable performance. However, the success mainly profits from supervised learning ove...
Databases, Factual Image Processing, Computer-Assisted Photoplethysmography Humans Algorithms Signal Processing, Computer-Assisted Video Recording Face Unsupervised Machine Learning Remote Sensing Technology
View on PubMed DOI

Soil organic carbon estimation using remote sensing data-driven machine learning.

PeerJ Aug 1, 2024
Soil organic carbon (SOC) is a crucial component of the global carbon cycle, playing a significant role in ecosystem health and carbon balance. In this study, we focused on assessing the surface SOC content in Shandong Province based on land use type...
Forests Soil Carbon Environmental Monitoring Ecosystem Machine Learning Support Vector Machine China Remote Sensing Technology
View on PubMed DOI

Utilizing deep learning algorithms for automated oil spill detection in medium resolution optical imagery.

Marine pollution bulletin Jul 30, 2024
This study evaluates the performance of three typical convolutional neural network based deep learning algorithms for oil spill detection using medium-resolution optical satellite imagery from Sentinel-2 MSI, Landsat-8 OLI, and Landsat-9 OLI2. Oil sl...
Remote Sensing Technology Satellite Imagery Petroleum Pollution Algorithms Deep Learning Environmental Monitoring Neural Networks, Computer
View on PubMed DOI

Accounting for minimum data required to train a machine learning model to accurately monitor Australian dairy pastures using remote sensing.

Scientific reports Jul 23, 2024
Precision in grazing management is highly dependent on accurate pasture monitoring. Typically, this is often overlooked because existing approaches are labour-intensive, need calibration, and are commonly perceived as inaccurate. Machine-learning pro...
Dairying New South Wales Australia Remote Sensing Technology Biomass Machine Learning Cattle Animals
View on PubMed DOI

Segmentation of LiDAR point cloud data in urban areas using adaptive neighborhood selection technique.

PloS one Jul 18, 2024
Semantic segmentation of urban areas using Light Detection and Ranging (LiDAR) point cloud data is challenging due to the complexity, outliers, and heterogeneous nature of the input point cloud data. The machine learning-based methods for segmenting ...
Humans Algorithms Cities Machine Learning Remote Sensing Technology
View on PubMed DOI
Popular Topics
Recent Journals