Article
Ecology
Courtney L. L. Meier, Katherine M. M. Thibault, David T. T. Barnett
Summary: The National Ecological Observatory Network Terrestrial Observation System (NEON TOS) produces open-access data products that allow investigation of the impact of change drivers on key taxa and soils. By coordinating spatial and temporal sampling strategy, integration across TOS products and NEON subsystems is enabled. An example is provided to illustrate the enhanced ability to draw inference across data products within the spatial and temporal framework.
Article
Ecology
John Musinsky, Tristan Goulden, Gregory Wirth, Nathan Leisso, Keith Krause, Mitch Haynes, Cameron Chapman
Summary: In this article, the authors describe the sampling design for the National Ecological Observatory Network's (NEON) Airborne Observation Platform (AOP). The design takes into account the diverse research needs of the ecological science community and the operational constraints affecting airborne data collection. They use satellite and near-surface observations to define temporal sampling windows and develop a probabilistic model to estimate sampling durations for cloud-free data collection at each site. They also analyze the agreement between two sensors in estimating phenophase transition dates and evaluate the cloud-likelihood model used for flight campaigns.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Engineering, Electrical & Electronic
Edward Ayres, Andreas Colliander, Michael H. Cosh, Joshua A. Roberti, Sam Simkin, Melissa A. Genazzio
Summary: Soil moisture is a crucial factor impacting forest ecosystems, and the accuracy of measurements in forested regions is important. Through comparison with in situ measurements, it was found that SMAP achieved reasonable accuracy in forested sites, with potential for improving algorithm parameterization. Vegetation water content and canopy height were identified as related factors influencing measurement accuracy. Expanding soil moisture measurements at forested sites could further enhance the accuracy of SMAP data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Ecology
Margaret O'Brien, Colin A. Smith, Eric R. Sokol, Corinna Gries, Nina Lany, Sydne Record, Max C. N. Castorani
Summary: The idea of harmonizing data has been around for decades, but faces challenges when dealing with studies where sampling protocols vary greatly and complex environmental conditions are involved. A collaborative approach with an environmental data repository and a national observatory is discussed to create a decentralized model for reformatting data without altering original data. This approach aims to contribute subsets of available data to different analysis-ready data preparation efforts while ensuring metadata retention and programmatic data access.
ECOLOGICAL INFORMATICS
(2021)
Article
Agriculture, Multidisciplinary
N. Ohana-Levi, A. Derumigny, A. Peeters, A. Ben-Gal, I. Bahat, L. Katz, Y. Netzer, A. Naor, Y. Cohen
Summary: Accurate and representative data collection from agricultural fields is crucial for efficient crop management. A data-driven method, utilizing observed covariates at every field point, was developed to select representative locations for sampling expensive unknown target features. The algorithm, based on matching moments between sample and population, outperformed other sampling methods in capturing the distribution and spatial variability of the target variable.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Environmental Sciences
Wu Xiaojing, He Honglin, Zhang Li, Feng Lili, Ren Xiaoli, Liu Weihua, Zou Changxin, Lin Naifeng
Summary: The rapid socioeconomic development has led to the deterioration of the ecological environment. This study proposes a monitoring network design to enhance ecosystem assessment in China. The network consists of core stations and localized points, and focuses on ecosystem services such as NPP, water conservation, soil retention, and sandstorm prevention. The selection of core stations is based on spatial representativeness in different ecoregions, while localized points are chosen for observing specific services. Expert knowledge is used to make final decisions, resulting in 60 core stations and 176 localized points for the monitoring network.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Chemical
Edvinas Krugly, Preethi Ravikumar, Lauryna Dabasinskaite, Martynas Tichonovas, Darius Ciuzas, Tadas Prasauskas, Odeta Baniukaitiene, Goda Masione, Violeta Kauneliene, Dainius Martuzevicius
Summary: This manuscript presents the application of nanofibrous filtration technology for aerosol sampling through the fabrication and validation of sampling filters. Four composite filters were created using different polymers, and their layered structure allowed for efficient particle collection and low pressure drop. The obtained results indicate that these filters are suitable for customized filtering substrates for subsequent analysis of collected particles.
JOURNAL OF AEROSOL SCIENCE
(2023)
Review
Ecology
Stephanie M. Parker, Ryan M. Utz
Summary: The National Ecological Observatory Network (NEON) is a research platform that evaluates the impacts of climate change, land-use change, and invasive species on ecosystem structure and function. A standardized methodology for sampling at sites with variable geomorphology and hydrology has been developed. Seasonal sampling is used to assess organismal diversity and abundance, and significant differences in community structure have been observed across sampling windows. The temporal sampling design for NEON aquatic biological sampling, with three sampling windows per site, is justified and achievable.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Sciences
Lisa A. Drake, Sarah A. Bailey, Torben Brydges, Katharine J. Carney, Gregory M. Ruiz, Jason Bayly-Stark, Guillaume Drillet, Richard A. Everett
Summary: To ensure compliance with ballast water regulations, samples are collected and tested for viable organisms by using a sample probe placed in the ballast discharge pipe through a sample port. The evaluation of sample port placements on 72 ships revealed that few align with the ISO standard, suggesting future installations should adhere to the standard to facilitate representative sampling.
MARINE POLLUTION BULLETIN
(2021)
Article
Environmental Sciences
Mingjian Zhai, Zui Tao, Xiang Zhou, Tingting Lv, Jin Wang, Ruoxi Li
Summary: A water multi-parameter sampling design method is proposed in this study, which constructs a regional multi-parameter weighted space based on the single-parameter sampling design and performs adaptive weighted fusion according to the spatial variation trend of each water parameter within it to obtain multi-parameter optimal sampling points, thereby achieving excellent spatial representation.
Article
Multidisciplinary Sciences
Yumiko A. Siegfried, Jill A. DeMatteis, Bibi A. Gollapudi
Summary: The USDA funds the longitudinal WIC Infant and Toddler Feeding Practices Study-2 (WIC ITFPS-2) to evaluate the feeding practices and behaviors of women and young children participating in WIC. The study enrolls a cohort of infants around birth and follows them for the first six years of life including a follow-up at age nine years. The sample includes both prenatal and postnatal WIC enrollees to examine the associations between WIC support and education and feeding practices. The paper describes the challenges faced in implementing the TLS approach for sample selection in WIC ITFPS-2.
Article
Environmental Sciences
Thomas Hutsler, Narcisa G. Pricope, Peng Gao, Monica T. Rother
Summary: Land cover changes and conversions are occurring rapidly worldwide due to human activities. Woody plant encroachment (WPE) is a common land cover conversion in drylands, with potential negative impacts on vegetation structure and ecosystem functions. Accurately determining woody plant distribution is crucial for effective management strategies. This study used an object-based approach and machine learning algorithms to estimate fractional woody cover (FWC) using remote sensing and in situ data from SRER and NEON. Decision tree-based models performed best, and important variables were identified. The study lays the groundwork for developing machine learning models for dryland woody plant management.
Article
Soil Science
Shuangshuang Shao, Baowei Su, Yalu Zhang, Chao Gao, Ming Zhang, Huan Zhang, Lin Yang
Summary: An improved artificial neural network was developed and combined with simulated annealing for sampling optimization to generate accurate soil maps. The proposed approach achieved more accurate predictions at different sampling sizes, especially in low sampling densities.
Article
Chemistry, Analytical
Guanghui Hong, Qingqing Wang, Chao Xu, Xiping Cui, Jie Zhang
Summary: A high-efficiency double-sample sampling system was developed by increasing the sample channels and tee valve on the hardware, as well as adjusting the calibration factor on the software. This system allows for simultaneous introduction of single-element samples, multi-element samples, and combinations of single-element and multi-element samples. It has potential applications in various fields.
MICROCHEMICAL JOURNAL
(2023)
Article
Geriatrics & Gerontology
Colm O'Muircheartaigh, Ned English, Steven Pedlow, L. Philip Schumm
Summary: This article provides scientific support for statistical analysis of the NSHAP data, including protocols for reinterviewing the original cohort and sample design for a second cohort, as well as guidance on computing design-based standard errors. The results of the study show high response rates for both cohorts, allowing for inference about the U.S. population of adults born from 1920 to 1965.
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES
(2021)
Article
Environmental Sciences
Monica Cook, Francis Padula, Dave Pogorzala, Aaron Pearlman, Joel McCorkel, Alexander Krimchansky
JOURNAL OF APPLIED REMOTE SENSING
(2020)
Article
Environmental Sciences
Jeffrey G. Masek, Michael A. Wulder, Brian Markham, Joel McCorkel, Christopher J. Crawford, James Storey, Del T. Jenstrom
REMOTE SENSING OF ENVIRONMENT
(2020)
Article
Chemistry, Analytical
Ian Paynter, Bruce Cook, Lawrence Corp, Jyoteshwar Nagol, Joel McCorkel
Article
Environmental Sciences
David Gudex-Cross, Spencer R. Keyser, Benjamin Zuckerberg, Daniel Fink, Likai Zhu, Jonathan N. Pauli, Volker C. Radeloff
Summary: This study utilized MODIS data to establish winter habitat indices and investigate the impact of snow cover on ecosystem and bird species richness. The results revealed that factors such as snow season length, snow cover variability, and frozen ground without snow significantly influence bird habitat conditions and species diversity.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geochemistry & Geophysics
Aaron Pearlman, Matthew Montanaro, Boryana Efremova, Joel McCorkel, Brian Wenny, Allen Lunsford, Dennis Reuter
Summary: This paper reviews the key elements of instrument-level radiometric testing and on-orbit calibration for TIRS-2, using a Monte Carlo approach to address uncertainties and demonstrating the instrument's potential for enhancing understanding of the Earth's environment.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Ecology
David Gudex-Cross, Likai Zhu, Spencer R. Keyser, Benjamin Zuckerberg, Jonathan N. Pauli, Volker C. Radeloff
Summary: The study demonstrates that the length of frozen ground winter is the strongest predictor of species richness, with a decline in species richness beyond 3 months of winter. Winter conditions explained much of the deviance in amphibian, mammal, and resident bird species richness in areas with ≥ 3 months of winter conditions. Migratory bird species richness peaks at around 5.5 months of winter, coinciding with low richness of resident birds.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2022)
Article
Environmental Sciences
Aaron Pearlman, Francis Padula, Monica Cook, Boryana Efremova, Joel McCorkel, Xiaoxiong Xiong
Summary: This study developed a vicarious validation technique for GOES-16 and GOES-17 satellites' ABIs data to improve imaging and reduce radiometric uncertainties. The technique used desert surface reflectance data to generate predicted radiance for comparison with ABI observations to detect changes and monitor stability.
JOURNAL OF APPLIED REMOTE SENSING
(2022)
Article
Engineering, Ocean
Erica L. L. McGrath-Spangler, Will McCarty, N. C. Prive, Isaac Moradi, Bryan M. M. Karpowicz, Joel McCorkel
Summary: The impact of assimilating hyperspectral infrared radiances from geostationary orbit on numerical weather prediction, with a focus on the proposed sounder on board the Geostationary Extended Observations (GeoXO) program's central satellite, was assessed through an observing system simulation experiment (OSSE). The experiment demonstrated that assimilation of the infrared sounders provided positive effects on mass and wind fields, particularly in the tropics, and reduced errors in the initial 24-48 hour forecasts. The proposed GeoXO Sounder (GXS) exhibited potential for improving numerical weather prediction globally and over the contiguous United States (CONUS).
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2022)
Article
Geochemistry & Geophysics
Scott Gleason, Iurii Cherniak, Irina Zakharenkova, Doug Hunt, Sergey Sokolovskiy, Doug Freesland, Alexander Krimchansky, Joel McCorkel, Liam Coulter, Graeme Ramsey, Jim Chapel
Summary: This letter presents the first radio occultation electron density profiles of Earth's atmosphere generated from a GPS receiver in a geostationary orbit. The potential of RO profiles from geosynchronous orbit to provide unique atmospheric measurements is discussed, along with the limitations and challenges in generating RO profiles using the current hardware and software configuration. The coverage and data processing required to generate excess phase and electron density profiles are also described.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Aaron Pearlman, Boryana Efremova, Matthew Montanaro, Allen Lunsford, Dennis Reuter, Joel McCorkel
Summary: This paper reports on the calibration updates and performance testing results of the Thermal Infrared Sensor 2 (TIRS-2) on Landsat 9. By transferring the prelaunch calibration to on-orbit and implementing additional corrections, TIRS-2 is able to generate high-quality imagery. The experimental results show that TIRS-2 has an instability of approximately 0.025%, a noise equivalent delta temperature (NEdT) of around 80mK, and an absolute radiometric uncertainty of less than 1.4% within its nominal temperature range.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Meteorology & Atmospheric Sciences
Aaron Pearlman, Monica Cook, Boryana Efremova, Francis Padula, Lok Lamsal, Joel McCorkel, Joanna Joiner
Summary: NOAA's GeoXO satellite system will expand observational capabilities to support various climate operations in the United States, and includes an atmospheric composition instrument (ACX) for air quality forecasting and monitoring. Research indicates that instrument design choices can have radiometric impacts on environmental satellite observations, particularly with regards to interpreting cloud content and potential errors in NO2 retrieval.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Geochemistry & Geophysics
Matthew Montanaro, Joel McCorkel, June Tveekrem, John Stauder, Eric Mentzell, Allen Lunsford, Jason Hair, Dennis Reuter
Summary: The TIRS-2 instrument on Landsat 9 incorporates design changes to reduce stray light issues, successfully minimizing scattering signals and eliminating stray-light artifacts in imagery.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Laura S. Farwell, David Gudex-Cross, Ilianna E. Anise, Michael J. Bosch, Ashley M. Olah, Volker C. Radeloff, Elena Razenkova, Natalia Rogova, Eduarda M. O. Silveira, Matthew M. Smith, Anna M. Pidgeon
Summary: Satellite image texture is closely related to lidar-based canopy height variability and can explain bird richness patterns. In terms of correlating with lidar and field-based metrics, 10 m resolution texture is stronger than 30 m resolution texture.
REMOTE SENSING OF ENVIRONMENT
(2021)
Proceedings Paper
Remote Sensing
Brian L. Markham, Del Jenstrom, Brian Sauer, Steven Pszcolka, Vicki Dulski, Jason Hair, Joel McCorkel, Geir Kvaran, Kurtis Thome, Matthew Montanaro, Jeffrey Pedelty, Cody Anderson, Michael Choate, Julia A. Barsi, Edward Kaita, Jeffrey Miller
EARTH OBSERVING SYSTEMS XXV
(2020)
Proceedings Paper
Engineering, Aerospace
David Pogorzala, Jon P. Fulbright, Elizabeth Kline, Boryana Efremova, Joel McCorkel, John Van Naarden
SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XXIV
(2020)