AIMC Topic: Satellite Imagery

Clear Filters Showing 61 to 70 of 95 articles

UAV and Machine Learning Based Refinement of a Satellite-Driven Vegetation Index for Precision Agriculture.

Sensors (Basel, Switzerland) Apr 29, 2020
Precision agriculture is considered to be a fundamental approach in pursuing a low-input, high-efficiency, and sustainable kind of agriculture when performing site-specific management practices. To achieve this objective, a reliable and updated descr...
Crops, Agricultural Farms Satellite Imagery Agriculture Plant Leaves Remote Sensing Technology Italy Seasons Neural Networks, Computer Machine Learning
View on PubMed DOI

Deep Learning to Unveil Correlations between Urban Landscape and Population Health.

Sensors (Basel, Switzerland) Apr 8, 2020
The global healthcare landscape is continuously changing throughout the world as technology advances, leading to a gradual change in lifestyle. Several diseases such as asthma and cardiovascular conditions are becoming more diffuse, due to a rise in ...
Humans Delivery of Health Care Databases, Factual Cluster Analysis Air Pollution Satellite Imagery Deep Learning Cities Urban Health
View on PubMed DOI

Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data.

PloS one Mar 11, 2020
Nowcasting of precipitation is a difficult spatiotemporal task because of the non-uniform characterization of meteorological structures over time. Recently, convolutional LSTM has been shown to be successful in solving various complex spatiotemporal ...
Neural Networks, Computer Rain Algorithms Satellite Imagery
View on PubMed DOI

Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery.

Scientific reports Nov 27, 2019
Recent technological advances in remote sensing sensors and platforms, such as high-resolution satellite imagers or unmanned aerial vehicles (UAV), facilitate the availability of fine-grained earth observation data. Such data reveal vegetation canopi...
Image Processing, Computer-Assisted Remote Sensing Technology Plants Data Collection Plant Physiological Phenomena Satellite Imagery Neural Networks, Computer Algorithms Deep Learning
View on PubMed DOI

Spatiotemporal dynamics of urbanization and cropland in the Nile Delta of Egypt using machine learning and satellite big data: implications for sustainable development.

Environmental monitoring and assessment Nov 23, 2019
The Nile Delta of Egypt is increasingly facing sustainability threats, due to a combination of nature- and human-induced changes in land cover and land use. In this paper, an analysis of big time series data from remotely sensed satellite images and ...
Agriculture Environmental Monitoring Egypt Humans Machine Learning City Planning Urbanization Sustainable Development Conservation of Natural Resources Satellite Imagery
View on PubMed DOI

Using satellite-measured relative humidity for prediction of Metisa plana's population in oil palm plantations: A comparative assessment of regression and artificial neural network models.

PloS one Oct 18, 2019
Metisa plana (Walker) is a leaf defoliating pest that is able to cause staggering economical losses to oil palm cultivation. Considering the economic devastation that the pest could bring, an early warning system to predict its outbreak is crucial. T...
Environmental Monitoring Regression Analysis Humidity Arecaceae Neural Networks, Computer Satellite Imagery Lepidoptera Animals Population Density
View on PubMed DOI

Aerial-trained deep learning networks for surveying cetaceans from satellite imagery.

PloS one Oct 1, 2019
Most cetacean species are wide-ranging and highly mobile, creating significant challenges for researchers by limiting the scope of data that can be collected and leaving large areas un-surveyed. Aerial surveys have proven an effective way to locate a...
Cetacea Deep Learning Satellite Imagery Animals
View on PubMed DOI

Downscaling satellite soil moisture using geomorphometry and machine learning.

PloS one Sep 24, 2019
Annual soil moisture estimates are useful to characterize trends in the climate system, in the capacity of soils to retain water and for predicting land and atmosphere interactions. The main source of soil moisture spatial information across large ar...
Remote Sensing Technology Satellite Imagery Machine Learning Reproducibility of Results Soil Water Environmental Monitoring
View on PubMed DOI

Alcohol outlets and firearm violence: a place-based case-control study using satellite imagery and machine learning.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Aug 29, 2019
INTRODUCTION: This article proposes a novel method for matching places based on visual similarity, using high-resolution satellite imagery and machine learning. This approach strengthens comparisons when the built environment is a potential confounde...
Satellite Imagery Wounds, Gunshot Residence Characteristics Alcoholic Beverages Commerce Philadelphia Firearms Violence Machine Learning Case-Control Studies Urban Population Humans
View on PubMed DOI

Measuring social, environmental and health inequalities using deep learning and street imagery.

Scientific reports Apr 18, 2019
Cities are home to an increasing majority of the world's population. Currently, it is difficult to track social, economic, environmental and health outcomes in cities with high spatial and temporal resolution, needed to evaluate policies regarding ur...
Employment Health Status Disparities London Housing Crime Satellite Imagery Cities Socioeconomic Factors Income Humans Neural Networks, Computer Deep Learning Social Problems
View on PubMed DOI
Popular Topics
Recent Journals