Landscape Data Commons
공공데이터포털
,The Landscape Data Commons is an inter-agency monitoring data repository and portal, led by the USDA-ARS at the Jornada Experimental Range, that connects standardized monitoring data to analysis tools to support land management and research. The Landscape Data Commons aggregates and harmonizes core methods data collected across agencies and monitoring programs (e.g., Bureau of Land Management Assessment, Inventory and Monitoring Program, the Natural Resources Conservation Service National Resources Inventory Grazing land On-Site program, the National Wind Erosion Research Network, smaller research and monitoring efforts). With these aggregated data, the Landscape Data Commons supports natural-resource management, modeling, and research.,
Meteorological data from December 2022 to April 2023, Grand Falls Dune Field, Arizona
공공데이터포털
Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. This dune field has been monitored since 2013 by the USGS, and data from each collection year are released as USGS Data Release products. Data described here is the meteorological component of the Imagery, Photogrammetry and Meteorological Data from December 2022 to April 2023, Grand Falls Dune Field, Arizona USGS Data Release. Our instruments are set up near an active ripple field in the Grand Falls Dune Field. The instrument array includes a meteorological weather station that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes, and seven BlazeVideo cameras situated surrounding the ripple field that take images every 10 minutes to capture ripple migration. In addition to the deployed instruments, each time we visit the field site we also image the ripple field using a Nikon D750 (35 mm) camera. This data is processed using the software Agisoft Metashape Professional to create digital elevation models of the ripple field.
Meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona
공공데이터포털
Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. This dune field has been monitored since 2013 by the USGS, and data from each collection year are released as USGS Data Release products. Data described here is the meteorological component of the Imagery, sediment collection, photogrammetry, and meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona Data Release. Our instruments are set up near an active ripple field in the Grand Falls Dune Field. The instrument array includes a meteorological weather station that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes , three BlazeVideo cameras situated surrounding the ripple field that take images every 10 minutes to capture ripple migration, and a suite of passive sediment catchers. In addition to the deployed instruments, each time we visit the field site we also image the ripple field using a Nikon D750 (35 mm) camera. This data is processed using the software Agisoft Metashape Professional to create digital elevation models of the ripple field.
Meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona
공공데이터포털
Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. This dune field has been monitored since 2013 by the USGS, and data from each collection year are released as USGS Data Release products. Data described here is the meteorological component of the Imagery, sediment collection, photogrammetry, and meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona Data Release. Our instruments are set up near an active ripple field in the Grand Falls Dune Field. The instrument array includes a meteorological weather station that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes , three BlazeVideo cameras situated surrounding the ripple field that take images every 10 minutes to capture ripple migration, and a suite of passive sediment catchers. In addition to the deployed instruments, each time we visit the field site we also image the ripple field using a Nikon D750 (35 mm) camera. This data is processed using the software Agisoft Metashape Professional to create digital elevation models of the ripple field.
Aeolian mass flux, rangeland monitoring site, and unpaved road reach data
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These data were compiled for monitoring and analyzing the amount of windblown (aeolian) sediment at 100 cm height near Moab, UT. Big Springs Number Eight (BSNE) field aeolian passive sediment traps are summarized by location and time period in shapefiles. Shapefiles also include attributes used to analyze patterns in the aeolian transport. Three different BSNE shapefiles represent 1) a network of BSNEs in a variety of rangelands, 2) BSNEs along downwind edges of unpaved roads where they run perpendicular to the dominant wind direction, and 3) long term BSNE sites used to test imporance of climate trends on aeolian transport. Also included in this data archive are raster files that were created from the BSNE data using statistical modeling approaches. These rasters represent predicted windblown sediment horizontal mass flux over the spring 2013 to spring 2015 time period.
Aeolian mass flux, rangeland monitoring site, and unpaved road reach data
공공데이터포털
These data were compiled for monitoring and analyzing the amount of windblown (aeolian) sediment at 100 cm height near Moab, UT. Big Springs Number Eight (BSNE) field aeolian passive sediment traps are summarized by location and time period in shapefiles. Shapefiles also include attributes used to analyze patterns in the aeolian transport. Three different BSNE shapefiles represent 1) a network of BSNEs in a variety of rangelands, 2) BSNEs along downwind edges of unpaved roads where they run perpendicular to the dominant wind direction, and 3) long term BSNE sites used to test imporance of climate trends on aeolian transport. Also included in this data archive are raster files that were created from the BSNE data using statistical modeling approaches. These rasters represent predicted windblown sediment horizontal mass flux over the spring 2013 to spring 2015 time period.