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Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing06:16

Femtosecond Laser Filaments for Use in Sub-Diffraction-Limited Imaging and Remote Sensing

High-intensity femtosecond pulses of laser light can undergo cycles of Kerr self-focusing and plasma defocusing, propagating an intense sub-millimeter-diameter beam over long distances. We describe a technique for generating and using these filaments to perform remote imaging and sensing beyond the classical diffraction limits of linear...
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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

We demonstrate the utility of remotely sensed data and the newly developed Software for Assisted Habitat Modeling (SAHM) in predicting invasive species occurrence on the landscape. An ensemble of predictive models produced highly accurate maps of tamarisk (Tamarix spp.) invasion in Southeastern Colorado, USA when assessed with subsequent field...
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Robotic Sensing and Stimuli Provision for Guided Plant Growth08:02

Robotic Sensing and Stimuli Provision for Guided Plant Growth

Distributed robot nodes provide sequences of blue light stimuli to steer the growth trajectories of climbing plants. By activating natural phototropism, the robots guide the plants through binary left-right decisions, growing them into predefined patterns that by contrast are not possible when the robots are...
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Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton05:03

Remote Sensing Evaluation of Two-spotted Spider Mite Damage on Greenhouse Cotton

This manuscript describes a multispectral optical sensor that effectively detected damage to early season cotton artificially infested with varying densities of the two-spotted spider mite...
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Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Recent advancements in remotely piloted aircraft systems (RPAS) allow sub-meter resolution, ideal for forest recovery monitoring. Integrating artificial intelligence (AI) enables deeper insights from large remotely sensed datasets. This protocol improves monitoring by supporting more efficient assessment and management of forested lands recovering from...
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Computer Vision-Based Biomass Estimation for Invasive Plants08:47

Computer Vision-Based Biomass Estimation for Invasive Plants

We report detailed procedures for an invasive plant biomass estimation method that utilizes data obtained from unmanned aerial vehicle (UAV) remote sensing to assess biomass and capture the spatial distribution of invasive species. This approach proves highly beneficial for conducting hazard assessment and early warning of invasive...
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