Kyle Bradbury

Journal article ISPRS International Journal of Geo Information · June 1, 2026 Point data, such as population, disease incidence, and greenhouse gas emissions, are commonly aggregated to a uniform grid of raster data for storage and representation. In many remote sensing applications, polygons are instead used to describe regions of ... Full text Cite

Machine learning inversion of interatomic force constants from single-crystal inelastic neutron scattering

Journal article Digital Discovery · April 1, 2026 Atomic vibrations govern many macroscopic properties of materials, but experiments to comprehensively probe them remain challenging. Inelastic neutron scattering (INS) is a powerful technique to map phonon dispersions in crystals, especially when leveragin ... Full text Cite

Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery

Journal article IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · January 1, 2024 Modern deep neural networks (DNNs) are highly accurate on many recognition tasks for overhead (e.g., satellite) imagery. However, visual domain shifts (e.g., statistical changes due to geography, sensor, or atmospheric conditions) remain a challenge, causi ... Full text Cite

Remotely sensed above-ground storage tank dataset for object detection and infrastructure assessment.

Journal article Scientific data · January 2024 Remotely sensed imagery has increased dramatically in quantity and public availability. However, automated, large-scale analysis of such imagery is hindered by a lack of the annotations necessary to train and test machine learning algorithms. In this study ... Full text Cite

Closing the domain gap: Blended synthetic imagery for climate object detection

Journal article Environmental Data Science · November 28, 2023 Accurate geospatial information about the causes and consequences of climate change, including energy systems infrastructure, is critical to planning climate change mitigation and adaptation strategies. When up-to-date spatial data on infrastructure is lac ... Full text Cite

What you get is not always what you see—pitfalls in solar array assessment using overhead imagery

Journal article Applied Energy · December 1, 2022 Effective integration planning for small, distributed solar photovoltaic (PV) arrays into electric power grids requires access to high quality data: the location and power capacity of individual solar PV arrays. Unfortunately, national databases of small-s ... Full text Cite

Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

Journal article Applied Energy · November 15, 2022 High quality energy systems information is a crucial input to energy systems research, modeling, and decision-making. Unfortunately, actionable information about energy systems is often of limited availability, incomplete, or only accessible for a substant ... Full text Cite

Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications

Journal article Remote Sensing · November 1, 2022 Transfer learning has been shown to be an effective method for achieving high-performance models when applying deep learning to remote sensing data. Recent research has demonstrated that representations learned through self-supervision transfer better than ... Full text Cite

Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning

Journal article ISPRS International Journal of Geo Information · April 1, 2022 Solar home systems (SHS), a cost-effective solution for rural communities far from the grid in developing countries, are small solar panels and associated equipment that provides power to a single household. A crucial resource for targeting further investm ... Full text Cite

GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery

Journal article IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · January 1, 2022 Energy system information for electricity access planning such as the locations and connectivity of electricity transmission and distribution towers-termed the power grid-is often incomplete, outdated, or altogether unavailable. Furthermore, conventional m ... Full text Cite

SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems

Journal article IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · January 1, 2022 Recently deep neural networks (DNNs) have achieved tremendous success for object detection in overhead (e.g., satellite) imagery. One ongoing challenge however is the acquisition of training data, due to high costs of obtaining satellite imagery and annota ... Full text Cite

Estimating residential building energy consumption using overhead imagery

Journal article Applied Energy · December 15, 2020 Residential buildings account for a large proportion of global energy consumption in both low- and high- income countries. Efficient planning to meet building energy needs while increasing operational, economic, and environmental efficiency requires accura ... Full text Cite

Automatic detection of solar photovoltaic arrays in high resolution aerial imagery

Journal article Applied Energy · December 1, 2016 The quantity of small scale solar photovoltaic (PV) arrays in the United States has grown rapidly in recent years. As a result, there is substantial interest in high quality information about the quantity, power capacity, and energy generated by such array ... Full text Open Access Cite

Distributed solar photovoltaic array location and extent dataset for remote sensing object identification.

Journal article Scientific data · December 2016 Earth-observing remote sensing data, including aerial photography and satellite imagery, offer a snapshot of the world from which we can learn about the state of natural resources and the built environment. The components of energy systems that are visible ... Full text Open Access Cite

Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets

Journal article Applied Energy · January 1, 2014 Energy storage systems (ESSs) can increase power system stability and efficiency, and facilitate integration of intermittent renewable energy, but deployment of ESSs will remain limited until they achieve an attractive internal rate of return (IRR). Linear ... Full text Cite