Skip to main content

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
Start Date
2008
End Date
2012

Citation

Gallant, A.L., 2017, 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, 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 [...]

Child Items (3)

Contacts

Point of Contact :
Alisa L Gallant
Originator :
Alisa L Gallant
Metadata Contact :
Alisa L Gallant
Distributor :
U.S. Geological Survey - ScienceBase

Purpose

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.

Map

Spatial Services

ScienceBase WMS

Communities

  • Upper Midwest Environmental Sciences Center (UMESC)

Tags

Provenance

Data source
Input directly

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/F7HH6J1S

Item Actions

View Item as ...

Save Item as ...

View Item...