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Rene Heim Published in Tropical Plant Pathology

August 12, 2019

Our labmate and postdoctoral researcher Rene Heim was recently published in Tropical Plant Pathology.  His paper, titled “Breaking down barriers between remote sensing and plant pathology”,  elucidates current hindrances present in interdisciplinary science.  Rene and co-authors specifically address obstacles between remote sensing and plant pathology and provide potential solutions.   Check it out here: “Breaking down […]

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Breaking down barriers between remote sensing and plant pathology

August 12, 2019

Abstract: A critical component for enhancing productivity and quality of food and fiber is the ability to quickly detect and monitor plant diseases in order to prevent or minimize losses to agricultural and forest products (Mahlein 2016). The earlier (prior to or at first symptoms) the diseases can be detected, the lower the risk of control […]

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Susan Meerdink Published in Remote Sensing of Environment

August 12, 2019

Our labmate and postdoctoral researcher Susan Meerdink recently published three papers in Remote Sensing of Environment. These publications feature a publicly available spectral library, thermal research using an airborne spectrometer, and temporal classification of plant species. Check them out here: “The ECOSTRESS spectral library version 1.0” “Plant species’ spectral emissivity and temperature using the hyperspectral thermal […]

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Classifying California plant species temporally using airborne hyperspectral imagery

August 12, 2019

Abstract: Accurate knowledge of seasonal and inter-annual distributions of plant species is required for many research and management agendas that track ecosystem health. Airborne imaging spectroscopy data have been used successfully to map plant species, but often only in a single season or over a limited spatial extent due to data availability. NASA’s Hyperspectral Infrared […]

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Plant species’ spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor

August 12, 2019

Abstract: The thermal domain (TIR; 2.5–15 μm) delivers unique measurements of plant characteristics that are not possible in other parts of the electromagnetic spectrum. However, these TIR measurements have largely been restricted to laboratory leaf level or coarse spatial resolutions due to the lack of suitable data from airborne and spaceborne instruments. The airborne Hyperspectral […]

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The ECOSTRESS spectral library version 1.0. Remote Sensing of Environment

August 12, 2019

Abstract: In June 2018, the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission was launched to measure plant temperatures and better understand how they respond to stress. While the ECOSTRESS mission delivers imagery with ~60 m spatial resolution, it is often useful to have spectra at the leaf level in order to explain […]

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Papers Accepted to 2019 WHISPERS Conference in Amsterdam

August 12, 2019

Congratulations to our labmates Ron Fick and Susan Meerdink for being accepted to the 2019 IEEE WHISPERS conference in Amsterdam! The WHISPERS  conference is an annual workshop focusing on advances in remote sensing with hyperspectral data.  Ron will present on his paper titled “Temporal mapping of Hyperspectral Data”. Susan will present a poster of her […]

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Developing Spectral Libraries Using Multiple Target Multiple Instance Adaptive Cosine/Coherence Estimator

August 12, 2019

Abstract: Traditional methods of developing spectral libraries for unmixing hyperspectral images tend to require domain knowledge of the study area and the material’s spectra. In this paper, we propose using the Multiple Target Multiple Instance Adaptive Cosine/Coherence Estimator (Multi-Target MI-ACE) algorithm to develop spectral libraries that will capture the same spectral variability as traditional methods […]

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Temporal Mapping of Hyperspectral Data

August 12, 2019

Abstract: The increasing popularity of hyperspectral sensors is dramatically increasing the temporal availability of data. To date, algorithms struggle to compare hyperspectral data collected across dates due to different environmental conditions during collection. In this work, we develop a temporal mapping in order to map data collected from one year to a different year. We […]

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