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The Global Ecosystem Dynamics Investigation: High-Resolution Laser Ranging of the Earths Forests and Topography
Get PDFObtaining accurate and widespread measurements of the vertical structure of the Earths forests has been a longsought goal for the ecological community. Such observations are critical for accurately assessing the existing biomass of forests, and how changes in this biomass caused by human activities or variations in climate may impact atmospheric CO2 concentrations. Additionally, the three-dimensional structure of forests is a key component of habitat quality and biodiversity at local to regional scales. The Global Ecosystem Dynamics Investigation (GEDI) was launched to the International Space Station in late 2018 to provide high-quality measurements of forest vertical structure in temperate and tropical forests between 51.6 N & S latitude. The GEDI instrument is a geodetic-class laser altimeter/waveform lidar comprised of 3 lasers that produce 8 transects of structural information. Over its two-year nominal lifetime GEDI is anticipated to provide over 10 billion waveforms at a footprint resolution of 25 m. These data will be used to derive a variety of footprint and gridded products, including canopy height, canopy foliar profiles, Leaf Area Index (LAI), sub-canopy topography and biomass. Additionally, data from GEDI are used to demonstrate the efficacy of its measurements for prognostic ecosystem modeling, habit and biodiversity studies, and for fusion using radar and other remote sensing instruments. GEDI science and technology are unique: no other space-based mission has been created that is specifically optimized for retrieving vegetation vertical structure. As such, GEDI promises to advance our understanding of the importance of canopy vertical variations within an ecological paradigm based on structure, composition and function
Assimilation of Vegetation Optical Depth Retrievals from Passive Microwave Radiometry
Get PDFAssimilation of VOD from passive microwave sensors provides beneficial and comparable impacts to those obtained from the assimilation of optical sensor-based data.Soil moisture and VOD retrievals from SMAP contain independent information that can be exploited within data assimilation. Soil moisture information is more useful for developing improvements in water budget fluxes over water limited domains and VOD is more useful over energy limited areas
Sediment Sorting and Rounding in a Basaltic Glacio-Fluvio-Aeolian Environment: hrisjkull Glacier, Iceland
Get PDFSediments and sedimentary rocks preserve a rich history of environment and climate. Identifying these signals requires an understanding of the physical and chemical processes that have affected sedimentary deposits [1]. Such processes include sorting and rounding during transport and chemical alteration through weathering and diagenesis. Although these processes have long been studied in quartz-dominated sedimentary systems [2], a lack of studies of basaltic sedimentary systems limits our interpretations of the environment and climate where mafic source rocks dominate, such as on Mars [3,4]. As part of the SAND-E: Semi-Autonomous Navigation for Detrital Environments project [5], which uses robotic operations to examine physical and chemical changes to sediments in basaltic glacio-fluvialaeolian environments, this research studies changes in sorting and rounding of fluvial-aeolian sediments along a glacier-proximal-to-glacier-distal transect in the outwash-plain of the risjkull glacier in SW Iceland (Fig. 1
Microwave Photoelasticity: A Resonant Wavelength Approach Applied to PEEK Polymer
Get PDFEvery nondestructive testing (NDT) technique has its unique set of advantages and limitations. Currently, the only existing noncontact NDT method capable of measuring sub-surface stresses, in optically opaque materials, at near-real-time speeds and over large areas is Microwave Photoelasticity (MP). This paper presents a new MP approach, which correlates changes in resonant wavelengths to changes in stress. In addition to a theoretical outline of the approach, the design and operation of an instrument capable of conducting these measurements is described. Finally, the technique is demonstrated by conducting measurements on polyetheretherketone, commonly known as PEEK, polymer. Between the W-Band frequencies of 105 to 115 GHz, PEEKs stress-optic-coefficient was determined to be of = 0.20 0.02 1/GPa
Nondestructive Evaluation (NDE) Methods and Capabilities Handbook - Volume II Appendices - Appendix E Volume 4
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Nondestructive Evaluation (NDE) Methods and Capabilities Handbook - Volume II Appendices - Appendix E Volume 2
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Defining Handling Qualities of Unmanned Aerial Systems: Phase II Final Report
Get PDFUnmanned Air Systems (UAS) are no longer coming, they are here, and operators from first responders to Google and Amazon are demanding access to the National Airspace System (NAS) for a wide variety of missions. This includes a proliferation of small UAS or sUAS that will operate beyond line of sight at altitudes of 500 ft and below. A myriad of issues continues to slow the development of verification, validation, and certification methods that will enable the safe introduction of UAS to the NAS. These issues include the lack of both a consensus in UAS categorization process and quantitative certification requirements, including the definition of handling qualities. Because of the wide variety of UAS types (fixed wing, rotary wing from traditional helicopters to multirotor configurations, ducted fans, airships, etc.) and vehicle size from micro vehicles to the Global Hawk with a wing span similar to that of a Boeing 737, there cannot be a one-size-fits-all set of requirements. To address these issues, Systems Technology Inc. (STI) has developed the UAS Handling Qualities Assessment (UAS-HQ) process and corresponding draft specification that will guide UAS stakeholders through a systematic evaluation process. The work described herein builds on the existing, highly successful, military rotorcraft handling qualities specifications that features a mission-oriented approach, a concept that originated at STI. The vehicle is first identified by a simple weight-based classification and then the associated vehicle mission task elements are considered. These missions have specific tasks inclusive to them that then dictate the criteria and demonstration maneuvers necessary to evaluate the UAS handling qualities. An assessment of both modeled responses and flight test data can then be conducted to examine the predicted versus actual handling qualities and, if required, design modifications can then be made. Mr. David Klyde, Vice President and Technical Director, Engineering Services, served as Principal Investigator, while Dr. Natalia Alexandrov served as the NASA LaRC technical representative. In the Phase II program, STI was joined by David Mitchell of Mitchell Aerospace Research and the University of Minnesota. Mr. Mitchell led the draft specification development effort, while the University of Minnesota UAV Lab conducted sUAS flight tests under the direction of Dr. Peter Seiler
Re-Computation of Numerical Results Contained in NACA Report No. 685
Get PDFIn an engineering note published in the Journal of Aircraft in the year 2000, Thomas A. Zeiler made generally known that some of the early works on aeroelastic flutter by Theodore Theodorsen and I.E. Garrick (NACA Report Nos. 496, 685, and 741) contained numerical errors in some of their numerical examples. Some of the plots containing numerical errors were later reproduced in two classic aeroelasticity texts (BAH and BA). Because these foundational papers and texts are often used in graduate courses on aeroelasticity, Zeiler recommended that an effort be undertaken to employ the computational resources available today (digital computers) to recompute the example problems in these early works and to publish the results to provide a complete and error-free set of numerical examples. This paper presents recomputed theoretical results contained in NACA Report No. 685 (NACA 685), Mechanism of Flutter, A Theoretical and Experimental Investigation of the Flutter Problem, by Theodore Theodorsen and I.E. Garrick. The recomputations were performed employing the solution method described in NACA 685, but using modern computational tools. With some exceptions, the magnitudes and trends of the original results were in good-to-excellent agreement with the recomputed results, a surprising but gratifying result considering that the NACA 685 results were computed by hand using pencil, paper, slide rules, and mechanical calculators called comptometers. Checks on the recomputations (about 25% were checked) were performed using the so-called -method of flutter solution. In all cases, including those where the original and recomputed results differed significantly, the checks were in excellent agreement with the recomputed results
Unsupervised Anomaly Detection in High-Dimensional Flight Data Using Convolutional Variational Auto-Encoder
Get PDFThe modern National Airspace System (NAS) is an extremely safe system and the aviation industry has experienced a steady decrease in fatalities over the years. This can be attributed to both improved flight critical systems with redundant hardware and software protections, as well as an increased focus on active monitoring and response to real time and historically identified vulnerabilities by implementing more resilient procedures and protocols. The main approach for identifying vulnerabilities in operations leverages domain expertise using knowledge about how the system should behave within the expected tolerances to known safety margins. This approach works well when the system has a well-defined operating condition. However, the operations in the NAS can be highly complex with various nuances that render it difficult to clearly pre-define all known safety vulnerabilities. With the advancement of data science and machine learning techniques, the potential to automatically identify emerging vulnerabilities in the observed operations has become more practical in recent years. The state-of-the-art anomaly detection approaches in aerospace data usually rely on supervised or semi-supervised learning. However, in many real-world problems such as flight safety, creating labels for the data requires huge amount of effort and is largely impractical. To address this challenge, we developed a Convolutional Variational Auto-Encoder (CVAE), which is an unsupervised learning approach for anomaly detection in high-dimensional heterogeneous time-series data. We validate performance of CVAE compared to the state-of-the-art supervised learning approach as well as unsupervised clustering-based approach using KMeans++ and kernel-based approach using One-Class Support Vector Machine (OC-SVM) on Yahoo!'s benchmark time series anomaly detection data. Finally, we showcase performance of CVAE on a case study of identifying anomalies in the first 60 seconds of commercial flights' take-offs using Flight Operational Quality Assurance (FOQA) data
Community Composition and Photosynthetic Physiology of Phytoplankton in the Western Subarctic Pacific Near the Kuril Islands With Special Reference to Iron Availability
No full textThe western subarctic Pacic (WSP) is known as one of the most productive regions among the world's oceans in spring. However, its oceanic waters are also known as a highnutrient, lowchlorophyll region during summer due to low iron (Fe) availability in seawater. Indeed, recent studies have demonstrated that the distribution of Fe in the WSP is complex and heterogeneous. This study thus investigated the effects of Fe availability on the community composition and photophysiology of surface phytoplankton from coastal to offshore waters in the WSP in the summer of 2014. Although relatively high concentrations (>2 mg/m3) of chlorophyll (chl) a were found in the Sea of Okhotsk and some coastal waters, low chl a concentrations (<1 mg/m3) were commonly observed in offshore waters. Based on dissolved Fe and macronutrient concentrations, we deduced that low Fe availability limited phytoplankton growth in offshore waters, whereas low silicate and/or nitrate levels limited growth in the shelf areas. Scanning electron microscopy also revealed that the centric diatom Chaetoceros exclusively dominated the diatom assemblages in the shelf and coexisted with pennate diatoms in offshore waters, respectively. Primary productivity in surface waters was negatively correlated with the bottom of the euphotic layer or the light saturation index of the photosynthesisirradiance curve, which indicates that the phytoplankton assemblages were well acclimated to in situ light conditions regardless of the water masses