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Filters: Date Range: {"choice":"day"} (X) > Types: OGC WMS Layer (X) > Types: OGC WFS Layer (X) > Types: OGC WMS Service (X)

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This collection contains the original “raw” survey data that were recorded and transcribed by each observer during the Yukon-Kuskokwim Delta (YKD) Aerial Breeding Pair Survey. Left-front and right-front seat observers recorded data on geese, swans, and cranes since 1985, while data on eiders, ducks, and waterbirds was recorded by a right-rear seat observer since 1989. These raw transcribed data should be used to produce updated quality-control (QC) datasets by running the quality assurance/quality control script “AKaerial.R” whenever the quality control procedures are revised or modified. The data files in this collection were named using the following naming convention: YKD(YKG)YYYY_RawObs_OOOO, where YKD=Duck...
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Landslides are a common hazard on FSM and identified as a significant risk to human life by the CDC. In 1997, tropical storms (TS) triggered landslides in Pohnpei that resulted in 20 fatalities, impacting 14 homes. In 2002, a TS triggered over 250 landslides in Chuuk resulting in 47 fatalities and impacting 231 structures, totaling $100 million in damages. FSM has also been impacted by disastrous landslides in 1991, 1992, 2004, and 2018 – and certainly many other unreported landslides. Following the 2002 event, the CDC found that “increasing knowledge of natural warnings can reduce the risk for mortality during landslides.” As a first step, knowing what areas are susceptible to landslide hazards is key. To this...
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The Yukon-Kuskokwim Delta (YKD) Aerial Breeding Pair Survey provides data on the spring abundance of targeted waterfowl species nesting on the YKD coastal zone in western Alaska. This region supports millions of waterbirds that comprise one of the largest and most important waterfowl breeding grounds in North America, including species of concern such as the red-throated loon (Gavia stellata), emperor goose (Chen canagica), Pacific black brant (Branta bernicla nigricans), common eider (Somateria mollissima), black scoter (Melanitta nigra), long-tailed duck (Clangula hyemalis), and the threatened spectacled eider (Somateria fischeri). The YKD goose, swan, and crane survey was first implemented in 1985 to monitor...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
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This collection contains the quality-control (QC) transcribed data from the Yukon-Kuskokwim Delta Aerial Breeding Pair Survey. These QC data were produced from the “raw” data using the R Package “AKaerial.” The raw data were evaluated against the current data standards in the ‘AKaerial data dictionary’ and saved to new QC data files with associated log files that document any changes that were made. From 1985 to 1997, observers recorded bird observations out to 200 meters from the aircraft using continuously running tape players (with a locational accuracy of +/- 5 km), while an automated voice recording survey program (with a spatial accuracy of +/- 0.5 km) was used to record data from 1998 to present. The data...
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This is an SQLite GeoPackage simple feature linestring vector database of the Arctic Coastal Plain survey flow tracks in coordinate reference system EPSG:4326. There is one layer for each year 2007 to 2023. The field”Year” gives the calendar year that the transects were flown, “Stratum” gives the strata name, “NavTransect” gives the transect identifier used for navigation by the pilot (this is not necessarily the same as the design transect), and the “geom” field gives the simple feature Well Known Text geometry data of the approximate flight path recreated from bird observations. See the GitHub site https://github.com/USFWS/ACP-Mapping for more information. This product was produced from the file ACPmapping.R and...
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This project aims to estimate spatial and temporal trends of waterfowl and waterbirds on the Arctic Coastal Plain (ACP) of Alaska from 2007 to present. The main approach is motivated by Amundson et al. (2019) using space-time generalized additive models (GAMs, Wood 2017) but with some improvements to handle observer effects and to associate sampling effort to specific spatial locations along a sampled transect similar to Miller et al. (2013). As part of this effort, a major data quality control process was begun in March 2022 that led to the correction of many data errors and re-formatting of the original 2007 to 2023 data to make it more accessible and usable to outside partners (original raw data available here)....
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This collection contains the report log files produced by the R Package “AKaerial” when the QC data were created from the raw transcribed data. The QC log files document the quality control process, data standards, and what changes (if any) were made to the QC data compared to the raw data. Each log file was named following the same file naming conventions:SSSYYYY_QCLog_OOOO, where;YKD=Duck data, YKG=Goose data, YYY=Year, and OOO=observer’s first initial and last name.
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This multi-layer GeoPackage contains the YKD Coastal Zone Survey design transects from 1985 to present. The original transects were imported to this SQLite database structure and saved as individual polylines named according to the year they were created (e.g., “main.YK_1985_Trans,” “main.YK_1986_Trans,” “main.YK_1987_Trans,” etc.). The aerial transects were developed systematically from randomly-selected start points and created along constant lines of latitude. The inter-transect spacing in the low, medium, high, and very-high density strata varies so that areas with higher waterfowl density are surveyed more intensively. Though the overall study area never changed, the YKD Survey design was modified several times,...
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This geopackage contains the density strata that were used to create the YKD Coastal Zone Survey’s current four-year rotating panel design. This file was derived from a mid-1980’s ArcInfo coverage, ‘Sampling Intensity’ (“SI arc”) that was produced through the visual interpretation of 1:250,000-scale LANDSAT imagery and the nesting density of cackling Canada geese.
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This is an SQLite GeoPackage simple feature vector database of spectacled eider relative densities predicted from a generalized additive model across the Arctic Coastal Plain. These density are “relative” because year- or observer-specific detection is not incorporated. However, the estimation model include observer as a random effect and predictions are made after removing the effect of observer (i.e., at the average observer). Each year is a separate layer named by year. Predictions are gridded into cells 750m per side but are trimmed to the ACP survey area, so some cells are smaller. For each year, the variable ‘fit’ gives the expected density, ‘se.fit’ gives the standard error of the fit, ‘Sample.Label’ is an...
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This GeoPackage contains the analysis strata (“YKD_AnalysisStrata”) used in calculating population indices for ducks, loons, mergansers, grebes, gulls, and terns. This layer was created from the file (“YKD_DesignStrata”) when the existing rotating panel design was developed in 1999. This layer was originally created as an ArcInfo coverage, saved to a shapefile, and imported to SQLite Database format.
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Aerial survey track files were recorded by each observer using Panasonic Toughpad or Toughbook computers running the software program “RECORD” (John I. Hodges, MBM-Alaska). The RECORD program was activated during the survey before arriving at the first transect and shut down after the last transect was completed, prior to engine shut-down. “Raw” track files recorded the flightpath of the aircraft including the area surveyed on each transect. GPS coordinates were captured every five seconds using a recreational grade receiver with an estimated positional accuracy of 5-10 meters after the software program was activated. These raw track files have not been quality checked, so they may contain missing or erroneous coordinates...
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This is an SQLite GeoPackage simple feature multilinestring vector database of the Arctic Coastal Plain survey transects in coordinate reference system EPSG:4326. There is one layer for each year 2007 to 2023, although in general the there is a four panel rotation that varies each year. All years are provided because implementation of the panel design varied through time. The field”Year” given the calendar year that the transects were implemented, “Stratum” gives the strata name, “Transect” gives the transect identifier, and the “geom” field gives the simple feature Well Known Text geometry data. Note that these transect are the idealized design and are not an exact record of the true flight path or survey effort....
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This GeoPackage contains the analysis strata (“YKG_AnalysisStrata”) used in calculating population indices for geese, swans, and cranes. This layer was created from the file (“YKD_DesignStrata”) when the existing rotating panel design was developed in 1999. This layer was originally created as an ArcInfo coverage, saved to a shapefile, and imported to SQLite Database format.
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This multi-layer GeoPackage (“VCF_AnalysisStrata”) contains density layers that stratify spectacled eiders into low, medium, and high density classes on the Yukon-Kuskokwim Delta Coastal Zone over two time periods: 1985-1994 and 1995-2015. The (“SPEI_1985to1994_6strata”) and (“SPEI_1995to2015_6strata”) layers were created using ground-based nest data that was log-transformed, interpotated by ordinary kriging methods, and classified into low (0-1.60 km^2), medium (1.60-3.50 km^2), and high (>3.50 km^2) nest density classes. Different visibility correction factors (VCFs) were calculated for each density strata based on the relationship between the nest and aerial survey data. These correction factors are used to produce...
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This is a folder and zip folder for distribution if the ACP data. Limited metadata exists at this time, thus the readme.txt file contains much of the information. The contents also include 10-02 area data that was collected in 2019. Ths is identified in the 'code' column of the ACP_QCObs_YYYY... files. The contents include: ADDITIONAL INFORMATION: OBSERVATION FILES (Data/ACP_QCObs_YYYY_Name.csv) - 2010 resulted in 3 different observers, 2018 had 1 observer, and all other years had 2 observers. - Latitude and longitude fields are of unknown accuracy and might be 500m from the reported locations due to: (1) GPS satellite accuracy, (2) distance from observed bird to center strip of transect (observer) could be up to...
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The Central Valley covers about 20,000 square miles and is one of the most productive agricultural regions in the world. Because the valley is semi-arid, surface-water availability varies substantially. Agricultural demand for irrigation is heavily reliant on surface water and groundwater. In the last few decades, land-use changes and limitations to surface-water availability—including drought and environmental flows—have increased pumping, causing groundwater-level and groundwater-storage declines, renewed subsidence, decreased stream flows, and changes to ecosystems. As these recent trends continue, monitoring, data compilation, and modeling are critical to understanding the dynamics of groundwater use and developing...
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This is an SQLite GeoPackage simple feature multipolygon vector database of the Arctic Coastal Plain survey area transect density strata. There is only one layer that gives the strata boundaries in EPSG:4326. The field “Statra” gives the strata name and the “geom” field gives the simple feature Well Known Text geometry data. See the GitHub site for more information. This product was produced from the file ACPmapping.R and is simplified from the original strata files distributed at https://www.sciencebase.gov/catalog/item/65419a58d34ee4b6e05bd001.
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The code repository for the quality controll processing, data creation, modelling, and mapping or trend estimation is at https://github.com/USFWS/ACP-Mapping. The full history of the quality control process and issues is documented in R code file in this repository. Please report any addition errors to https://github.com/USFWS/ACP-Mapping/issues and follow update of this repositiry to keep track of new errors and updates to data sets, maps, or trend estimates.


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