Remotely sensed variables analyzed and reported in the paper titled "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions"
Dates
Publication Date
2018-08-20
Start Date
2008
End Date
2012
Citation
Gallant, A.L., 2018, Remotely sensed variables analyzed and reported in the paper titled "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions": U.S. Geological Survey data release, https://doi.org/10.5066/F7HH6J1S.
Summary
The comma-delimited fields in this dataset provide values for the remotely sensed variables analyzed for landscape blocks described in the paper, "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions," by Sadinski et al. (submitted). The field labeled “BlockSite” links the records in this file with a set of boundaries in a shapefile called “Study_Block_Boundaries.shp” The records represent weekly measurements of normalized difference vegetation index (BlockNDVI) values and total evapotranspiration (BlockETmm), as well as the annual snow-off date (BlockDOYsnowfree) for the study blocks from January through [...]
Summary
The comma-delimited fields in this dataset provide values for the remotely sensed variables analyzed for landscape blocks described in the paper, "Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions," by Sadinski et al. (submitted). The field labeled “BlockSite” links the records in this file with a set of boundaries in a shapefile called “Study_Block_Boundaries.shp” The records represent weekly measurements of normalized difference vegetation index (BlockNDVI) values and total evapotranspiration (BlockETmm), as well as the annual snow-off date (BlockDOYsnowfree) for the study blocks from January through August from 2008 to 2012.
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Weekly_Data_2008-2012_for_Study_Blocks.xml Original FGDC Metadata
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Weekly_Data_2008-2012_for_Study_Blocks.csv
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Multi-year data from satellite- and ground-based sensors show details and scale matter in assessing climate’s effects on wetland surface water, amphibians, and landscape conditions
These data were compiled to study relations between climate dynamics and key ecological conditions and processes on wetland-upland landscapes in a set of sites distributed across four study areas in the midwestern United States. The variables studied included both ground- and satellite-based measures. The comma-delimited dataset described here pertains to the satellite-based measures, which cover January through August of 2008 to 2012 for 33 square landscape blocks measuring 2 km on a side. We used these data to characterize growing-season primary productivity (normalized difference vegetation index), evapotranspiration (estimated actual evapotranspiration), and timing of snow-free conditions.