ASTER data is used to create detailed maps of land surface temperature, reflectance, and elevation.ASTER captures high
spatial resolution data in 14 bands, from the visible to the thermal infrared wavelengths, and provides stereo viewing capability for digital elevation model creation.
Not exact matches
«When the
data's
spatial resolution increases by a factor of four, the one thing I have complete confidence in is surprises....
So creating a 3 - D picture requires scientists to scan the sample once, tilt it by a few degrees and re-scan it — repeating the process until the desired
spatial resolution is achieved — before combining the
data from each scan using a computer algorithm.
As the method can be automated, it might be possible to obtain
data on biodiversity in an unprecedented
spatial and temporal
resolution in the future.
The satellites give temperature measurements with a
spatial resolution of roughly 1 square kilometre, which the team matched up with
data from the US Federal Aviation Administration on the exact location of 2358 wind turbines in west - central Texas.
Liming Zhou of the University at Albany, State University of New York, and colleagues studied land - surface temperature
data gathered by NASA's Terra and Aqua satellites, which give measurements with a
spatial resolution of roughly 1 square kilometre.
After
data processing, the echoes returned by the structures crossed by these waves can provide images with unequalled
spatial and temporal
resolution: 80 micrometers and a few tens of milliseconds.
«We have designed a specialized acquisition method that gathers the necessary
data for both space and time in two parts and then combines them to achieve high - quality, high -
spatial resolution, and high - speed imaging.»
«The
data, information and knowledge on long - term trends of surface water bodies across the CONUS at high
spatial resolution are valuable for planning and management of surface water resources, however, they are not widely available yet,» said Xiao, professor of ecology and remote sensing in the Department of Microbiology and Plant Biology, OU College of Arts and Sciences.
This study highlights the need for high -
resolution spatial data on tiger mosquito density, biting behavior, and seasonality to better understand, predict, and manage arboviral transmission risk in temperate cities.
Thus, scientists often make climate projections at coarse
spatial resolution where each projected
data point is an average value of a grid cell that measures hundreds of miles (kilometers) across.
This
data set is similar to NCEP's but at a higher
spatial and temporal
resolution (∼ 78 km
resolution).
The Argus millimeter - wave camera on the GBT produces
data cubes of the emission from spectral lines with high spectral and
spatial resolution.
Current
spatial coverage, temporal
resolution and age control of available Holocene proxy
data limit the ability to determine if there were multi-decadal periods of global warmth comparable to the last half of 20th century.
Multiplexed Imaging Here the goal is to add
spatial resolution to cytometry -
data in order to understand, in a tissue, WHERE immune and cancer cells interact We design, develop and apply methods for multiplexed visualization of protein and RNA molecules in tissue sections.
Moreover, graph theory - based network analyses have also been applied to resting - state fMRI
data, identifying similar RSNs, although typically at a coarser
spatial resolution.
Additionally, it will provide us the first all - sky survey
data with high -
spatial resolution beyond 100 um.
The
spatial and temporal
resolution of reanalysis
data may be heterogeneous.
These measurements are at high
spatial resolution that can also be used to validate satellite
data.
The hydrologic projections were forced with GCM
data downscaled to a 1 / 16 - degree
resolution using Bias - Correction
Spatial Disaggregation (BCSD)(Wood et al. 2004) following Werner (2011).
For the hydrologic projections, the GCM
data were downscaled to a 1 / 16 - degree
resolution using Bias - Correction
Spatial Disaggregation (BCSD)(Wood et al. 2004) following Werner (2011).
The
data that we have over a longer period are dimensionally so poor (generally only 1 degree of freedom) and have no
spatial resolution so that one can interpret them about in any way one wants.
NOAA Coral Reef Watch (CRW) thermal stress products used in this study were based on nighttime - only Advanced Very High
Resolution Radiometer (AVHRR) sea surface temperature (SST) data from sensors aboard operational NOAA Polar - Orbiting Environmental Satellites (POES), produced in near - real - time at 0.5 - degree (50 - km) spatial r
Resolution Radiometer (AVHRR) sea surface temperature (SST)
data from sensors aboard operational NOAA Polar - Orbiting Environmental Satellites (POES), produced in near - real - time at 0.5 - degree (50 - km)
spatial resolutionresolution.
The resulting product forms a comprehensive
data set with high
spatial and sectoral
resolutions for the period extending to 2100.
Nesting a regional climate model (with higher
spatial resolution) into an existing GCM is one way to downscale
data.
Meanwhile, the few studies that involve a higher
spatial resolution generally do so by sacrificing the temporal coverage of the
data, providing them with a «case study» point of view of a particular weather event, rather than robust statistics required for an understanding of climate.
Although we did not explicitly address the temporal or
spatial resolution of emission
data from each system, it is notable that the few published acoustic and eddy covariance - based reservoir CH4 flux estimates are quite high compared to the median CH4 flux estimates from less temporally and / or spatially integrated measurement techniques (figure 1).
Analyses of tide gauge and altimetry
data by Vinogradov and Ponte (2011), which indicated the presence of considerably small
spatial scale variability in annual mean sea level over many coastal regions, are an important factor for understanding the uncertainties in regional sea - level simulations and projections at sub-decadal time scales in coarse -
resolution climate models that are also discussed in Chapter 13.
«We hope that soon we will be able to examine agricultural practices in even greater detail, with the launch of the European Space Agency's Sentinel satellites, which will provide regular
data at even higher
spatial resolution.»
For example, simple approaches such as
spatial interpolation or adding climate changes from GCMs to observed
data fields do increase the
spatial resolution but add no new information on high
resolution climate change.
To measure up to the «gold standard,» the
data need to be: freely available, up to date, repeated, gathered and presented at appropriate
spatial resolution, and validated for accuracy.
Precipitation and soil moisture are both presented using two different
data records that are complementary in terms of
spatial coverage and
spatial resolution.
The important considerations for the baseline include the time period adopted as well as the
spatial and temporal
resolution of the baseline
data.
Impact studies rarely use GCM outputs directly because GCM biases are too great and because the
spatial resolution is generally too coarse to satisfy the
data requirements for estimating impacts.
One is «
data pixels»; this is a function of the
spatial resolution of the sensor (i.e., how small of an area the sensor can resolve).
* Note that the original AVHRR
data are available at higher
spatial resolution but were regridded by Steig et al. (2009) to 50 km
resolution
As one goes back in time the
spatial resolution decays because the underlying
data becomes increasingly sparse.
«At the moment the satellite is still in its commissioning phase,» emphasises Engelen,» but we have already started testing the
data coming from it, and we expect that the quality and
spatial resolution will improve our CAMS analyses and forecasts.»
Note
spatial resolution here measures how closely you measure a given difference in trend, which is different than
spatial sampling frequency, which tells you just how many points you've provided
data for.
The degree of the spherical harmonic expansion and the knot - point spacing of the splines are chosen to be higher than the
spatial and temporal
resolution expected from the
data.
Additional work is needed to confirm whether the fields produced are overly smooth or not both by using tests with synthetic
data and by comparing the results to the
spatial characteristics of high -
resolution GCM field.»
It is not clear, however, that these tools will actually be available in the future to provide the required
data at high
spatial and temporal
resolution with the necessary continuity.
«Observed»
data is the water equivalent estimation of all types of precipitation (rain, snow, sleet, freezing rain, hail) derived from NWS River Forecast Centers (RFCs), and is displayed as a gridded field with a
spatial resolution of 4x4 km.
Wang, T., A. Hamann, D. L. Spittlehouse, and T. Q. Murdock, 2012: ClimateWNA — High -
Resolution Spatial Climate
Data for Western North America.
GOME - II was also discussed as a possible source of some desired trace gas information, but the
spatial resolution is relatively low, and the MetOp 9:30 orbit would present difficulty in merging the
data into the current
data record.
Further, some participants noted that for SST, sea ice, and ocean surface vector winds there is possible synergy and an optimum combination for accuracy,
data gap limitation,
spatial and temporal
resolution, and CDR continuity that should be considered.
Over the ocean, some of the increased variability could be a consequence of increased
spatial and temporal
resolution, because the 1981 — 2010 period has high -
resolution satellite
data, while the 1951 — 1980 period is largely dependent on ship
data.
With the availability of the higher -
resolution OMI
data, the science community has realized that OMPS - Nadir and GOME - II have inadequate
spatial resolution — thus, there is a desire for higher
resolution and more capable sensors than OMPS - Nadir.
Prior to 1988, the satellite
data that Trenberth uses is not available, but it is known that long term records in radiosondes contain large inhomogeneities due to improving observing systems, increasing
spatial resolution (but still very little ocean coverage), and the NCEP
data in particular contains large model biases.
IAREs provide a balance between
spatial resolution and increased granularity of attribute
data.