AIMC Topic: Trees

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Associations between trees and grass presence with childhood asthma prevalence using deep learning image segmentation and a novel green view index.

Environmental pollution (Barking, Essex : 1987) Jun 14, 2021
Limitations of Normalized Difference Vegetation Index (NDVI) potentially contributed to the inconsistent findings of greenspace exposure and childhood asthma. The aim of this study was to use a novel greenness exposure assessment method, capable of o...
Deep Learning Child Air Pollutants Cross-Sectional Studies Prevalence Environmental Exposure Poaceae Trees Air Pollution Humans Particulate Matter Asthma
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Using machine learning to examine street green space types at a high spatial resolution: Application in Los Angeles County on socioeconomic disparities in exposure.

The Science of the total environment May 8, 2021
BACKGROUND: Compared to commonly-used green space indicators from downward-facing satellite imagery, street view-based green space may capture different types of green space and represent how environments are perceived and experienced by people on th...
Los Angeles Socioeconomic Factors Humans Trees Parks, Recreational Residence Characteristics Poaceae Machine Learning
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Combining natural language processing and metabarcoding to reveal pathogen-environment associations.

PLoS neglected tropical diseases Apr 7, 2021
Cryptococcus neoformans is responsible for life-threatening infections that primarily affect immunocompromised individuals and has an estimated worldwide burden of 220,000 new cases each year-with 180,000 resulting deaths-mostly in sub-Saharan Africa...
Humans Machine Learning Ecosystem RNA, Ribosomal, 18S Cryptococcus neoformans Environmental Microbiology Natural Language Processing Trees Models, Theoretical Metagenomics Soil Microbiology
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Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves.

Sensors (Basel, Switzerland) Mar 16, 2021
The life cycle of leaves, from sprout to senescence, is the phenomenon of regular changes such as budding, branching, leaf spreading, flowering, fruiting, leaf fall, and dormancy due to seasonal climate changes. It is the effect of temperature and mo...
Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Plant Leaves Trees
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A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network.

eLife Feb 19, 2021
Forests provide biodiversity, ecosystem, and economic services. Information on individual trees is important for understanding forest ecosystems but obtaining individual-level data at broad scales is challenging due to the costs and logistics of data...
Trees Ecology United States Remote Sensing Technology Deep Learning
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Central Attention and a Dual Path Convolutional Neural Network in Real-World Tree Species Recognition.

International journal of environmental research and public health Jan 22, 2021
Identifying plants is not only the job of professionals, but also useful or essential for the plant lover and the general public. Although deep learning approaches for plant recognition are promising, driven by the success of convolutional neural net...
Attention Recognition, Psychology Neural Networks, Computer Databases, Factual Trees
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Big Data Driven Detection of Trees in Suburban Scenes Using Visual Spectrum Eye Level Photography.

Sensors (Basel, Switzerland) May 28, 2020
The aim of the work described in this paper is to detect trees in eye level view images. Unlike previous work that universally considers highly constrained environments, such as natural parks and wooded areas, or simple scenes with little clutter and...
Pattern Recognition, Automated Photography Machine Learning Trees Big Data Data Collection
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Assessing alternative methods for unsupervised segmentation of urban vegetation in very high-resolution multispectral aerial imagery.

PloS one May 7, 2020
To analyze types and patterns of greening trends across a city, this study seeks to identify a method of creating very high-resolution urban vegetation maps that scales over space and time. Vegetation poses unique challenges for image segmentation be...
Philadelphia Normal Distribution Water Resources City Planning Poaceae Trees Data Accuracy Soil Models, Statistical Parks, Recreational Cities Humans Cluster Analysis Neural Networks, Computer
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Mapping Atlantic rainforest degradation and regeneration history with indicator species using convolutional network.

PloS one Feb 28, 2020
The Atlantic rainforest of Brazil is one of the global terrestrial hotspots of biodiversity. Despite having undergone large scale deforestation, forest cover has shown signs of increases in the last decades. Here, to understand the degradation and re...
Neural Networks, Computer Rainforest Trees Conservation of Natural Resources Environmental Monitoring Species Specificity Biodiversity
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Predicting death by suicide using administrative health care system data: Can recurrent neural network, one-dimensional convolutional neural network, and gradient boosted trees models improve prediction performance?

Journal of affective disorders Dec 14, 2019
BACKGROUND: Suicide is a leading cause of death, particularly in younger persons, and this results in tremendous years of life lost.
Delivery of Health Care Suicide Trees Neural Networks, Computer Humans Machine Learning
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