This file includes satellite sensor-derived data on evapotranspiration, vegetation response (normalized difference vegetation index), and snow and weather-station data used to derive weekly growing degree units and total precipitation used in analyses described in the paper, "Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes."

This comma-delimited dataset provides values for the remotely sensed status of snow on/off analyzed for field study sites 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). These data provide an indication of snow presence at the spatial resolution of a 500-m square cell for each eight-day interval beginning in January and ending at the start July of each year from 2008-2012. The source for the data was the MOD10A2 snow product from the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor. We extracted data for the cells associated with 35 field study sites for which we subsequently determined the timing of spring snow-free conditions. The data field labeled "BlockSite" links these values geospatially to a data field of the same name in an ESRI shapefile titled "Study_Block_Boundaries.shp" that delineates study blocks containing the field sites. Refer to the paper by Sadinski et al. (submitted) for details of the analyses performed.

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.

Geospatial corner coordinates for 33 landscape blocks used as units of analyses for research described in the paper, "Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate – lessons from temperate wetland-upland landscapes."

The data set provides digital terrain models (DTM), digital surface models (DSM) snow depth models, and canopy height models (CHM), derived from point cloud data (available as SnowEx Mores Creek Summit (MCS) Airborne LiDAR Survey Raw, Version 1) acquired by airborne lidar scanning. Data were collected as part of a multi-year effort to monitor monthly snow distribution over a 35 km² region of the Mores Creek Headwaters in the Boise Mountains of central Idaho between 2021 and 2024. Data acquisition in 2021 overlapped temporally with the NASA SnowEx 2021 field campaign.

The polygons in this shapefile accompany 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 paper describes relations between climate dynamics and key ecological conditions and processes on wetland-upland landscapes in > 30 sites distributed across four study areas in the midwestern United States. The variables studied included both ground- and satellite-based measures. The polygons in this shapefile pertain to the latter and provide the boundaries of 4-km2 blocks that subsume the field sites and provide a landscape perspective for the timing and duration of snow, evapotranspiration, and photosynthetic activity from 2008 to 2012 from January through August. The data for these variables are provided in a separate tabular file (xxx insert reference link xxx) that links to this shapefile by a shared field called BlockSite. Citation: Sadinski, W., Gallant, A.L., Roth, M., Brown, J., Senay, G., Brininger, W., and Stoker, J., Submitted 2017, 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: PLOS ONE.

,Detailed hydrometeorological data from the mountain rain-to-snow transition zone are present for water years 2004 through 2014. The Johnston Draw watershed (1.8 km2), ranging from 1497 – 1869 m in elevation, is a sub-watershed of the Reynolds Creek Experimental Watershed (RCEW) in southwestern Idaho. The dataset includes continuous hourly hydrometeorological variables across a 372 m elevation gradient, on north- and south-facing slopes, including air temperature, relative humidity and snow depth from 11 sites in the watershed. Hourly measurements of solar radiation, precipitation, wind speed and direction, and soil moisture and temperature are available at selected stations. The dataset includes hourly stream discharge measured at the watershed outlet. These data provide the scientific community with a unique dataset useful for forcing and validating models in interdisciplinary studies and will allow for better representation and understanding of the complex processes that occur in the rain-to-snow transition zone.,This version of the data set fixes errors in all data files and supersedes the earlier datasets https://doi.org/10.15482/USDA.ADC/1258769 and https://doi.org/10.15482/USDA.ADC/1245163.,See the file inventory included with this dataset for more information on individual data files.,For more information about this dataset contact: Clarissa L. Enslin: enslclar@gmail.com Sarah Godsey: godsey@isu.edu Danny G. Marks: ars.danny@gmail.com,

These data include snow depth and snow water equivalent (SWE) for a field campaign on April 9, 2024. The field area is comprised of 311 surveyed points in, on the perimeter of, and surrounding six forest openings next to Coal Creek off Coal Bank Pass in the San Juan Mountains in southwestern Colorado, USA. These measurements were taken to look at the relationship between snow accumulation and snow melt patterns between forest gaps of various sizes, and forest edges of various sizes (edge of forest gaps). Canopy metrics, including canopy height, total gap area, mean distance to canopy, canopy closure, leaf area index, non-directional edginess, canopy edginess with a southern aspect, and canopy edginess with a northern aspect were defined using aerial lidar data for the San Juan Mountains and can be found in an affiliated data release titled, ‘High Resolution Canopy Structure and Density Metrics for Southwest Colorado Derived from 2019 Aerial Lidar.’ These metrics are also included herein for the 311 surveyed points.

The data set presents snow pit measurements collected during the NASA SnowEx March 2023 Intensive Observation Period (IOP) in Alaska, USA to use for calibration and validation with coincident airborne SWESARR and lidar measurements as part of the strategy focused on snow water equivalence (SWE) and snow depth (HS). In total, 170 snow pits were excavated between the five sites at locations representing a range of snow depth, vegetation, and topographic conditions. Three study areas represented boreal forest snow near Fairbanks, AK: Farmers Loop Creamers Field (FLCF), Caribou Poker Creek Research Watershed (CPCRW), and Bonanza Creek Experimental Forest (BCEF). Two study areas represented Arctic tundra snow: Arctic Coastal Plain (ACP) and Upper Kuparuk Toolik (UKT).

This data set contains digital terrain models (DTMs) derived from terrestrial lidar scans (TLS) collected as part of the SnowEx 2023 campaign. Data were collected at the Bonanza Creek Experimental Forest near Fairbanks, Alaska in October 2022 (snow-off conditions) and March 2023 (snow-on conditions). The DTMs are provided as Geographic Tagged Image (GeoTIFF) files, where each file corresponds to a unique survey site. Unprocessed point cloud data from which these DTMs were derived are available as the SnowEx23 Bonanza Creek Experimental Forest Terrestrial Lidar Scans Raw, Version 1 (SNEX23_BCEF_TLS_Raw) data set