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Each frequency is looking at a different size footprint. Each frequency has its own feedhorn, and is thus susceptible to independent pointing errors. The most important benefit of resampling (or smoothing) is to create a suite of frequencies that are all looking at the same scene. So, when the higher-resolution channels are resampled to match the footprints of the lower-resolution channels, the data are smoothed.
In the not-resampled (unsmoothed) channels (denoted by 'o' in Table 5 of the User Guide):
The MODIS Swath-to-Grid Toolbox (MS2GT) is a set of software tools that can be used to read HDF-EOS files containing MODIS swath data and produce flat binary files containing gridded data in a variety of map projections. Multiple input files corresponding to successively acquired 5 minute MODIS "scenes" can be processed together to produce a seamless output grid.
HMA DEMs cover portions of eleven countries. The products are created from DigitalGlobe Inc. satellite imagery and have a relatively small footprint, especially compared to NASA missions
This article describes the Arctic and Antarctic projections used for gridded Operation IceBridge data sets.
Arctic
The standard projection parameters for Northern Hemisphere Operation IceBridge data are: Polar Stereographic Standard Parallel 70° N Longitude of the origin (central meridian): 45° W WGS 84 ellipsoid
This projection is defined as EPSG:3413. Examples of other NSIDC DAAC data sets using this projection include:
This short article describes the customization services available for ICESat-2 data using Earthdata Search.
A list of featured external softwares and their compatibility with EASE-Grid and EASE-Grid 2.0 are listed in the article below.
For a complete list of EASE-Grid and EASE-Grid 2.0 tools curated by NSIDC, please read the article
This is most likely due to a problem with Windows Winzip which corrupts the file upon downloading (you will see that the file size will have changed from the original located on ftp)
You can correct this by changing some settings in WinZip:
The NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) is migrating its primary data access from its legacy, on-premises archive to the NASA Earthdata Cloud. During this transition, data access will be phased out by collection from the on-premises archive.
On 25 October 2003, at 8:49 a.m. (JST), JAXA discovered that ADEOS-II had been switched to light load mode due to an unknown anomaly. (Light load is a mode in which all observation equipment is automatically turned off to minimize power consumption). No further earth observation data were received after that time.
Several parameters help quantify the shape of the GLAS laser footprint, which change slightly for each campaign. These parameters are:
During the first IceBridge campaign for this data set (2009 Antarctica), the camera was flown in a demonstration mode. Input from the science community requested that panchromatic data be collected - so as to maximize grey-level possibility. The panchromatic data are 1-band data. Most all of the 2009 imagery for Antarctica was acquired in that mode. During the other campaigns, the cameras were configured to collect data in color, which is 3-band.
There is a metadata field provided in each GeoTIFF which identifies the mode (pan or color) associated with the data.
The Aqua satellite travels along the dashed line marking the center of a scan. When that center point reaches its maximum latitude, the ascending half orbit (green dots) ends, and a new descending half orbit (orange) starts. All orbits will be split at this same latitude, all the ascending orbits will reach the same maximum latitude, and all the descending orbits will reach a different (and higher) maximum latitude. This creates pole holes with different radii. The South Pole is similar, except that ascending and descending are swapped.
For example, the MASIE-NH coastline has slight differences with the Arctic coastline available from the Toolik-Arctic Geobotanical Atlas. The differences are most apparent on the north east coast of Greenland.
There are a few reasons that the soil moisture data values in SMAP Level-4 data products may vary from what you expect in a particular region. The first step a data user should take in investigating apparently anomalous values is to look at the rich quality information and other data flags contained in SMAP data files and associated QA files.
A typical AMSR-E swath width consists of approximately 2000 scans, with 243 pixels per scan for the 6.9 GHz to 36.5 GHz channels, and 486 pixels per scan for the 89.0 GHz channel.
The surface and root zone soil moisture estimates in the SMAP Level-4 soil moisture products are the outputs of a land surface model into which SMAP observations of brightness temperature have been assimilated. The coupling between the surface layer and the root zone layer is known to be very strong in this model (the Catchment model of Koster et al. [2000]), perhaps overly so, and this will indeed lead to similarity in the surface and root zone soil moisture time series.
While the standard SMAP Level-2 and -3 radiometer soil moisture products contain landcover_class and landcover_class_fraction in the data files, the enhanced soil moisture products do not. This is because the landcover class ancillary data are not available at the 9 km grid posting that the enhanced products are provided on. However, the lack of landcover class does not affect soil moisture retrieval as these data are included in the standard products for diagnostic purposes only.
Standard SMAP Level-2 and -3 radiometer soil moisture products include:
If you plot the average daily change in sea ice extent in the northern hemisphere, based on the data from 'Sea_Ice_Index_Daily_Extent_G02135_v3.0.xlsx', you may notice that at the beginning of each month, particularly in the summer, the daily change is larger.
Given the choices of either shape distortion or areal distortion or both, the equal-area projections were chosen for the EASE Grids because they minimized the amount of distortion over the hemispheric and global areas being portrayed. One convenient side effect of this choice is that calculations of areal statistics are reduced to simply summing pixels and multiplying by a constant area per pixel, so the acronym, EASE takes on a secondary meaning, as in easy to use.