데이터셋 상세
미국
Proportion of the Central Valley and Suisun Marsh in California classified by date for October-March of 2014-15 through 2017-18 as wet waterfowl habitat in three maps derived using open-water data from Point Blue Conservation Science
Tabular data that represent the proportion of area classified as waterfowl habitat for each of three series of habitat maps were developed based on water distributed across the Central Valley and Suisun Marsh in California during October-March of 2014-15 through 2017-18. We used open water data (version without cloud-filling) publicly available on Point Blue Conservation's California Water Tracker web site and which Point Blue derived at 16-18 day intervals from mosaics of Landsat 8 imagery for the region including the Central Valley and Suisun Marsh. Each record in the data set represents a mosaic within a specific range of dates of imagery that together bound the Central Valley and Suisun Marsh spatial extent. In a geographic information system (GIS), we used each mosaic to calculate the proportion of potential waterfowl habitat for each range of dates (yyyymmdd to yyyymmdd format) indicated in column one. The proportion was calculated for each of three maps, indicated in column 2-4 headings, that we developed using the open water data. As one measure to compare performance of the three maps, we summarized the mean and range of the proportion of area that was classified as habitat across all mosaics used; generally, the less area classified as habitat, while also accounting for actual locations of waterfowl (for example with telemetry data) the better.
데이터 정보
연관 데이터
Total existing area and projected (years 2006–2099) area of primary waterbird habitat in the Central Valley of California for 17 climate, urbanization, and water management scenarios
공공데이터포털
The dataset summarizes total area (km2) and proportion of Central Valley waterbird habitat, summed across individual waterbird habitats (i.e., wetland and cropland types), that was available for each of 17 projected scenarios. The dataset also includes relatively recent (year 2005) area of existing habitat (i.e., “existing area”) for comparison with areas based on scenarios. Analysis was conducted for the projection period including water-years 2006–2099 (water-year defined as October-December and January–September of the following year). Because habitat areas vary through the season with timing of crop harvest and flooding of wetlands and post-harvested fields, annual areas and proportions represent summation of available projected habitat area following completion of crop harvest and flooding of wetland and crop habitats during the season. Cropland habitats are defined as winter-flooded rice, unplowed dry rice, winter-flooded corn, unplowed dry corn, and other winter-flooded cropland (in Tulare basin). Wetlands are defined as summer-irrigated seasonal wetland, seasonal wetland that is not summer-irrigated, and semipermanent wetland (combines semipermanent and permanent wetland types). These data are used to support the following publication: Matchett EL, Fleskes JP (2017) Projected Impacts of Climate, Urbanization, Water Management, and Wetland Restoration on Waterbird Habitat in California’s Central Valley. PLoS ONE 12(1): e0169780. doi:10.1371/journal.pone.0169780
Vegetation - Suisun Marsh - 2021 [ds3187]
공공데이터포털
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Vegetation - Suisun Marsh - 2021 [ds3187]
공공데이터포털
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Vegetation - Suisun Marsh - 2021 [ds3187]
공공데이터포털
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Vegetation - Suisun Marsh - 2018 [ds2963]
공공데이터포털
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Vegetation - Suisun Marsh - 2012 [ds1029]
공공데이터포털
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Vegetation - Suisun Marsh - 2018 [ds2963]
공공데이터포털
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Vegetation - Suisun Marsh - 2012 [ds1029]
공공데이터포털
Vegetation delineations based on photo interpretation and formal vegetation classification plus change detection.
Vegetation - Suisun Marsh - 2012 [ds1029]
공공데이터포털
Vegetation delineations based on photo interpretation and formal vegetation classification plus change detection.
Vegetation - Suisun Marsh - 2015 [ds2676]
공공데이터포털
Vegetation delineations based on photo interpretation and formal vegetation classification plus change detection.