Search Results - "Kerner, Hannah R."

High-Resolution Regional Digital Elevation Models and Derived Products from MESSENGER MDIS Images by Manheim, Madeleine R., Henriksen, Megan R., Robinson, Mark S., Kerner, Hannah R., Karas, Bradley A., Becker, Kris J., Chojnacki, Matthew, Sutton, Sarah S., Blewett, David T.

“…The Mercury Dual Imaging System (MDIS) on the Mercury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) spacecraft has provided global images…”
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Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions by Kerner, Hannah R., Wagstaff, Kiri L., Bue, Brian D., Wellington, Danika F., Jacob, Samantha, Horton, Paul, Bell, James F., Kwan, Chiman, Ben Amor, Heni

“…Science teams for rover-based planetary exploration missions like the Mars Science Laboratory Curiosity rover have limited time for analyzing new data before…”
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Generating Landslide Density Heatmaps for Rapid Detection Using Open-access Satellite Radar Data in Google Earth Engine by Handwerger, Alexander L, Huang, Mong-Han, Jones, Shannan Y, Amatya, Pukar, Kerner, Hannah R, Kirschbaum, Dalia B

“…Rapid detection of landslides is critical for emergency response, disaster mitigation, and improving our understanding of landslide dynamics. Satellite-based…”
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Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar by Hosseini, Mehdi, Kerner, Hannah R., Sahajpal, Ritvik, Puricelli, Estefania, Lu, Yu-Hsiang, Lawal, Afolarin Fahd, Humber, Michael L., Mitkish, Mary, Meyer, Seth, Becker-Reshef, Inbal

“…On 10 August 2020, a series of intense and fast-moving windstorms known as a derecho caused widespread damage across Iowa’s (the top US corn-producing state)…”
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Satellite data shows resilience of Tigrayan farmers in crop cultivation during civil war by Kerner, Hannah R., Nakalembe, Catherine, Yeh, Benjamin, Zvonkov, Ivan, Skakun, Sergii, Becker-Reshef, Inbal, McNally, Amy

“…The Tigray War was an armed conflict that took place primarily in the Tigray region of northern Ethiopia from November 3, 2020 to November 2, 2022. Given the…”
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Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US Corn Belt by Kerner, Hannah R., Sahajpal, Ritvik, Pai, Dhruv B., Skakun, Sergii, Puricelli, Estefania, Hosseini, Mehdi, Meyer, Seth, Becker-Reshef, Inbal

“…Within-season estimates of crop-specific planted area, conditions, and expected yields are critical for decision- and policy-making related to agriculture and…”
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Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis by Horton, Paul, Kerner, Hannah R., Jacob, Samantha, Cisneros, Ernest, Wagstaff, Kiri L., Bell, James

“…While innovations in scientific instrumentation have pushed the boundaries of Mars rover mission capabilities, the increase in data complexity has pressured…”
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Domain-Agnostic Outlier Ranking Algorithms—A Configurable Pipeline for Facilitating Outlier Detection in Scientific Datasets by Kerner, Hannah R., Rebbapragada, Umaa, Wagstaff, Kiri L., Lu, Steven, Dubayah, Bryce, Huff, Eric, Lee, Jake, Raman, Vinay, Kulshrestha, Sakshum

“…Automatic detection of outliers is universally needed when working with scientific datasets, e.g., for cleaning datasets or flagging novel samples to guide…”
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Guiding Field Exploration on Earth and Mars with Outlier Detection by Kerner, Hannah R., Adler, Jacob B.

“…Analyzing remote sensing datasets to identify sites of interest for in-situ investigation in robotic and human exploration is challenging with current methods…”
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Context-dependent image quality assessment of JPEG compressed Mars Science Laboratory Mastcam images using convolutional neural networks by Kerner, Hannah R., Bell, James F., Ben Amor, Heni

“…The Mastcam color imaging system on the Mars Science Laboratory Curiosity rover acquires images that are often JPEG compressed before being downlinked to…”
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Analysis of Active Neutron Measurements From the Mars Science Laboratory Dynamic Albedo of Neutrons Instrument: Intrinsic Variability, Outliers, and Implications for Future Investigations by Kerner, H. R., Hardgrove, C. J., Czarnecki, S., Gabriel, T. S. J., Mitrofanov, I. G., Litvak, M. L., Sanin, A. B., Lisov, D. I.

“…The Dynamic Albedo of Neutrons (DAN) instrument onboard Mars Science Laboratory uses neutron die‐away, an active nuclear spectroscopy technique, to measure the…”
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Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis by Horton, Paul, Kerner, Hannah R, Jacob, Samantha, Cisneros, Ernest, Wagstaff, Kiri L, Bell, James

“…While innovations in scientific instrumentation have pushed the boundaries of Mars rover mission capabilities, the increase in data complexity has pressured…”
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Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade by Azari, Abigail R, Biersteker, John B, Dewey, Ryan M, Doran, Gary, Forsberg, Emily J, Harris, Camilla D. K, Kerner, Hannah R, Skinner, Katherine A, Smith, Andy W, Amini, Rashied, Cambioni, Saverio, Da Poian, Victoria, Garton, Tadhg M, Himes, Michael D, Millholland, Sarah, Ruhunusiri, Suranga

“…Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary…”
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