Aaron Kaulfus
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View article: Synergy of Urban Heat, Pollution, and Social Vulnerability in One of America's Most Rapidly Growing Cities: Houston, We Have a Problem
Synergy of Urban Heat, Pollution, and Social Vulnerability in One of America's Most Rapidly Growing Cities: Houston, We Have a Problem Open
During the first two decades of the twenty‐first century, we analyze the expansion of urban land cover, urban heat island (UHI), and urban pollution island (UPI) in the Houston Metropolitan Area (HMA) using land cover classifications deriv…
View article: Tropical Cyclone Wind Speed Estimation: A Large Scale Training Data Set and Community Benchmarking
Tropical Cyclone Wind Speed Estimation: A Large Scale Training Data Set and Community Benchmarking Open
Tropical cyclones (TCs) cause significant disruptions to infrastructure and livelihood. The scale of loss due to TCs may be mitigated by prompt and accurate advisories about TC wind speed. Current advisories are consensus based and have a …
View article: Urban Growth of Houston, Texas over the Last Two Decades: Implications for Heat Stress
Urban Growth of Houston, Texas over the Last Two Decades: Implications for Heat Stress Open
<p>Houston is also one of the coastal cities in the US that has shown considerable growth in urban land cover over the last two decades. We utilized the National Land Cover Database derived from Landsat satellite imagery and coherent…
View article: Programmatic Update for NASA’s Commercial Smallsat Data Acquisition (CSDA) Program
Programmatic Update for NASA’s Commercial Smallsat Data Acquisition (CSDA) Program Open
Established in 2017 as a pilot project, the NASA Commercial Smallsat Data Acquisition (CSDA) Program evaluates and acquires commercial datasets that compliment NASA Earth Science research and application goals. The success of the pilot and…
View article: Data Stewardship Practices for Earth Observation Transient and Optimized Analysis Platforms
Data Stewardship Practices for Earth Observation Transient and Optimized Analysis Platforms Open
<p>Access to valuable scientific research data is becoming increasingly more open, attracting a growing user community of scientists, decision makers and innovators. While these data are more openly available, accessibility continues…
View article: Semantic Segmentation with Deep Convolutional Neural Networks for Automated Dust Detection in Goes-R Satellite Imagery
Semantic Segmentation with Deep Convolutional Neural Networks for Automated Dust Detection in Goes-R Satellite Imagery Open
Earth and Space Science Open Archive Presented WorkOpen AccessYou are viewing the latest version by default [v1]Semantic Segmentation with Deep Convolutional Neural Networks for Automated Dust Detection in Goes-R Satellite ImageryAuthorsTa…
View article: Improving Discovery and Use of NASA’s Earth Observation Data Through Metadata Quality Assessments
Improving Discovery and Use of NASA’s Earth Observation Data Through Metadata Quality Assessments Open
High quality descriptive metadata is essential to enabling the effective discovery of Earth observation data to a growing number of diverse users. In this paper, we define a framework to assess the quality of NASA’s Earth observation metad…
View article: Phenomena Portal: Large- Scale Visual Exploration of Atmospheric Phenomena
Phenomena Portal: Large- Scale Visual Exploration of Atmospheric Phenomena Open
The Earth science community is experiencing a high influx of remote sensing data due to recent advancements in sensor technology. This enables the community to extend their research on a larger scale than ever before. Unfortunately, tradit…
View article: Earth science phenomena portal: from deep learning-based event detection to visual exploration
Earth science phenomena portal: from deep learning-based event detection to visual exploration Open
<p>Earth science researchers typically use event (an instance of an Earth science phenomenon) data for case study analysis. However, Earth science data search systems are currently limited to specifying a query parameter that include…
View article: Data Systems to Enable Open Science: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform&#8217;s Data Ecosystem
Data Systems to Enable Open Science: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform’s Data Ecosystem Open
<p>The scientific method within the Earth sciences is rapidly evolving. Ever increasing volumes require new methods for processing and understanding data while an almost 60 year Earth observation record makes more data-intensive retr…
View article: Ensuring Scientific Reproducibility within the Earth Observation Community: Standardized Algorithm Documentation for Improved Scientific Data Understanding
Ensuring Scientific Reproducibility within the Earth Observation Community: Standardized Algorithm Documentation for Improved Scientific Data Understanding Open
<p>Algorithm Theoretical Basis Documents (ATBDs) accompany Earth observation data generated from algorithms. ATBDs describe the physical theory, mathematical procedures and assumptions made for the algorithms that convert radiances r…
View article: The Impacts of Irrigated and Rainfed Agriculture on Near-Surface Atmosphere: Preliminary Results from GRAINEX
The Impacts of Irrigated and Rainfed Agriculture on Near-Surface Atmosphere: Preliminary Results from GRAINEX Open
Land use/land cover change (LULCC) has long been viewed as a contributing source of climate change. Modification of natural prairie grasslands to irrigated and rainfed agriculture has proven to have significant impacts on regional weather …
View article: Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System
Deepti: Deep-Learning-Based Tropical Cyclone Intensity Estimation System Open
Tropical cyclones are one of the costliest natural disasters globally because of the wide range of associated hazards. Thus, an accurate diagnostic model for tropical cyclone intensity can save lives and property. There are a number of exi…
View article: Pixel level smoke detection model with deep neural network
Pixel level smoke detection model with deep neural network Open
Traditional analysis of smoke extent from satellite imagery relies largely on spectral analysis using multispectral data thereby requiring large data volumes or subjective and time-consuming evaluation. These methods are not scalable to ob…
View article: A New Machine Learning-Based Methodology for Assessing the Impact of Agricultural Interventions in Nepal
A New Machine Learning-Based Methodology for Assessing the Impact of Agricultural Interventions in Nepal Open
View article: Eliminating Science Friction: A Metadata Quality Framework for the Earth Sciences
Eliminating Science Friction: A Metadata Quality Framework for the Earth Sciences Open
View article: The Inherent Challenges of Using Large Data Sets in Healthcare Research
The Inherent Challenges of Using Large Data Sets in Healthcare Research Open
Kaulfus, Aaron MS; Alexander, Susan DNP, ANP-BC, ADM-BC; Zhao, Shuang PhD; Oster, Robert A. PhD; O'Keefe, Louise C. PhD, CRNP; Bartolucci, Al PhDEditor(s): Alexander, Susan DNP, ANP-BC, ADM-BC Author Information