Resolution is the minimum distance between two adjacent features or the minimum size of a feature, that can be detected by a remote sensing system. The resolution is generally larger than the computed ground sample distance of the DOQ.
Spatial resolution of crop models in the estimation of regional agroecological effects of climate change: how fine is fine enough?
William E. Easterling ...
spatial resolution can be relatively low
e.g. grid cells covering large areas
historically, natural resource GIS have been raster-based ...
Spatial resolution refers to the size of a pixel that is recorded in a raster image - typically pixels may correspond to square areas ranging in side length from 1 to 1000 metres.
Based on the MADS object+relationship data model (see in the section 3) the MurMur project addresses two aspects of multiple representations: the modeling of multiple spatial resolution and the modeling of multiple viewpoints.
The ~ of the AVHRR varies from 1.1 km2 at nadir to 12.6 km2 at the end of the scan line. The sensor scans throuah 110.8° as it examines the earth, producing a scanline of 2.925 km. This wide scan angle, + 54° of nadir, permits daily views of the earth.
For example, an increase in ~ is typically associated with a decrease in spectral resolution, and vice versa. Similarly, geostationary satellitesSatellites that circle the earth proximal to the equator once each day.
The measure of size is referred to as ~. ~ reflects the smallest object that can be detected by a sensor. As an example, Landsat TM has a ~ of 30 X 30 meters.
Its ~ is determined by the resolution of the acquisition device and the quality of the original data source. Because a raster image has to have pixels for all spatial locations, it is strictly limited by how big a spatial area it can represent.
All spatial data should be to the same ~, or scale. It is not possible to get meaningful results from the combination of spatial data recorded to a scale of 1:250, as might be the case for an excavation site plan, with road alignments recorded to a scale of 1:250,000.
Figure 1 reflects how ~ (scale) relates to the utility of fuels data for strategic versus tactical risk assessments. In general, the finer the ~, the better the data for detailed community-scale analysis.
The transformation into the YCbCr color model enables the next step, which is to reduce the ~ of the Cb and Cr components (called "downsampling" or "chroma subsampling").
"~" The smallest possible map feature that can be accurately displayed at a specified map scale. For example, in a 1:24000 scale map, a 50 foot distance between a roadway and railroad track centerline is one fortieth of an inch.
The pixel size is its ~, and it differs from spectral resolution in that it involves pixel size rather than a particular wavelength or band of light recorded by the satellite. Like spectral resolution, different satellites acquire data at different ~s.
Landsat TM - Landsat Thematic Mapper. Earth observation satellite with seven bands at 30m ~ (TWS).
Layer - Distinct map theme. Usually a separate GIS file (TWS).
The Most Detailed Ecological Land Units Map in the World
Esri and the USGS are pleased to announce the development of the highest ~ ecological land units (ELUs) map of the world ever produced.
The ~ is fairly gross (60 meters) compared with today's satellite images, but it is good enough to spot major changes in land cover (e.g. new housing developments, shopping centers, etc.).
To re-run it at higher ~ or different settings, the user first loads the surface and sets the resolution, lighting, etc. Then internally the script generated by d.nviz is run. Alternatively, the user can run nviz with a previuosly saved state and the d.nviz generated script: ...
The minimum difference or distance between two independently measured or computed values or objects that can be distinguished by the measurement or analytical method, or sensor being considered or used. It provides a limit to precision and accuracy. Often called ~ but also applies ...
See also: What is the meaning of Resolution, Information, Model, GIS, Analysis?