Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Remote Sensing, Journal Year: 2025, Volume and Issue: 17(6), P. 1017 - 1017
Published: March 14, 2025
This paper explores the application of a novel vision transformer (ViT) model for estimation canopy height models (CHMs) using 4-band National Agriculture Imagery Program (NAIP) imagery across western United States. We compare effectiveness this in terms accuracy and precision aggregated ecoregions class heights versus three other benchmark peer-reviewed models. Key findings suggest that, while can provide high localized areas, VibrantVS has substantial advantages broad reach States, with higher accuracy, precision, ability to generate updated inference at cadence years or less, spatial resolution. The provides significant value ecological monitoring land management decisions, including wildfire mitigation.
Language: Английский
Citations
1Ecosphere, Journal Year: 2025, Volume and Issue: 16(1)
Published: Jan. 1, 2025
Abstract The National Ecological Observatory Network (NEON) provides over 180 distinct data products from 81 sites (47 terrestrial and 34 freshwater aquatic sites) within the United States Puerto Rico. These include both field remote sensing collected using standardized protocols sampling schema, with centralized quality assurance control (QA/QC) provided by NEON staff. Such breadth of creates opportunities for research community to extend basic applied while also extending impact reach through creation derived products—higher level user data. Derived are curated, documented, reproducibly‐generated datasets created applying various processing steps one or more lower products—including interpolation, extrapolation, integration, statistical analysis, modeling, transformations. directly benefit increase broadening size diversity base, decreasing time effort needed working data, providing primary foci development via derivation process, helping users address multidisciplinary questions. Creating promotes personal career advancement those involved publications, citations, future grant proposals. However, is a nontrivial task. Here we provide an overview process creating outlining advantages, challenges, major considerations.
Language: Английский
Citations
0Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)
Published: Feb. 20, 2025
Automated processing of environmental data is hindered by the wide array unit representations provided in metadata digital datasets. For example, gm/m2, g/m2, gm-2, g/m^2, g.m-2 and gramPerMeterSquared are all a single complex that might be human-readable but not machine-interpretable. Connecting ad hoc units to concept an ontology permits identification datasets sharing provides additional information regarding labels, definitions, dimensions transformations ontology. Here we use successive string link QUDT (e.g., unit: GM-PER-M2). Although only 896 7,110 distinct corpus ecological from DataONE, Environmental Data Initiative U.S. National Ecological Observatory Network were matched, 324,811 uses (instances) out 355,057 total successfully mapped (91%). The resulting lookup table was used enable web service R functions for adding annotation elements Metadata Language documents.
Language: Английский
Citations
0Journal of Environmental Quality, Journal Year: 2025, Volume and Issue: unknown
Published: April 25, 2025
Abstract The United States Department of Agriculture Long‐Term Agroecosystem Research (LTAR) Network comprises 19 sites and has collectively produced nearly one petabyte data. Data include time‐series measurements, remotely sensed imagery, high‐throughput environmental data from field laboratory instrumentation. Currently, network‐level analyses leverage multi‐decadal historical, as well ongoing, coordinated collection several network sites. Though this multifaceted facilitates on cross‐site, regional, national levels, its analytical power is constrained by the locally organized siloed management storage practices in place. A information system crucial for robust meta‐analyses syntheses exploring agricultural impacts agroecosystems production, structure, function across various LTAR Foundational tools described herein provide framework an that will empower users to find, harmonize, map, share all locations. Standard metadata have been created implemented (1) inventorying datasets managed each site, (2) creating controlled vocabularies measurements facilitate cross‐site comparisons analyses, (3) geolocating collection, experimental boundaries, (4) publishing protocols describe how were generated, (5) reporting quantitative research impact published literature, (6) using dashboards visualize collection. These efforts serve a pivot point around which collective work at levels can occur. Harmonized foundation development synergistic science solutions.
Language: Английский
Citations
0Insects, Journal Year: 2024, Volume and Issue: 15(6), P. 432 - 432
Published: June 6, 2024
Arizona is home to many mosquito species, some of which are known vectors infectious diseases that harm both humans and animals. Here, we provide an overview the 56 species have been identified in State date, but also discuss their feeding preference they can (potentially) transmit This list unlikely be complete for several reasons: (i) Arizona’s mosquitoes not systematically surveyed areas, (ii) surveillance efforts often target specific interest, (iii) doubts raised by one or more scientists about accuracy collection records, has noted this article. There needs integrated multifaceted approach involves entomologists epidemiologists, social scientists, wildlife ecologists, ornithologists, representatives from agricultural department, irrigation drainage districts. will allow public health officials monitor changes current diversity abundance, introduction new invasive identify locations populations at risk mosquito-borne diseases, (iv) effectively guide vector control.
Language: Английский
Citations
1Published: Jan. 1, 2024
Language: Английский
Citations
1