AIMC Topic: Satellite Imagery

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Intelligence in injury prevention: artificial and otherwise.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention

Satellite images and machine learning can identify remote communities to facilitate access to health services.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Community health systems operating in remote areas require accurate information about where people live to efficiently provide services across large regions. We sought to determine whether a machine learning analyses of satellite imagery c...

Predicting culturable enterococci exceedances at Escambron Beach, San Juan, Puerto Rico using satellite remote sensing and artificial neural networks.

Journal of water and health
Predicting recreational water quality is key to protecting public health from exposure to wastewater-associated pathogens. It is not feasible to monitor recreational waters for all pathogens; therefore, monitoring programs use fecal indicator bacteri...

Combining satellite imagery and machine learning to predict poverty.

Science (New York, N.Y.)
Reliable data on economic livelihoods remain scarce in the developing world, hampering efforts to study these outcomes and to design policies that improve them. Here we demonstrate an accurate, inexpensive, and scalable method for estimating consumpt...

Evaluation of deciduous broadleaf forests mountain using satellite data using neural network method near Caspian Sea in North of Iran.

Anais da Academia Brasileira de Ciencias
During the recent decades, deciduous forests have been molested by human intervention. Easy access, abundance and diversity of valuable forest products have led to increased population density, creating new residential areas and deforestation activit...