'coarse spatial resolution' is a correct and usable phrase in written English and can be used when referring to the level of detail of a specific image or data set.
For example, "The coarse spatial resolution of the satellite image made it difficult to discern individual features."
Next, it was aimed to assess how delineated HPs were spatially matched to satellite data with coarse spatial resolution.
However, the coarse spatial resolution of these products hampers the comparison with point-scale in situ measurements.
The second limitation is the coarse spatial resolution of the location traces, which is determined by the granularity of cellular tower coverage.
Most available high spectral resolution sensors acquire data with a relatively coarse spatial resolution, limiting their applications in areas where vegetation appears in small patches (Zhang 2015).
However, using remote-sensing data with coarse spatial resolution has its limitations especially in areas with high fragmentation and heterogeneity of rangelands (Cohen and Shoshany 2002).
While coarse spatial resolution imagery can be useful for mapping broad scale disturbance [43, 85], high resolution imagery is essential for mapping peatland drains [44, 68].
For even larger scale C modelling work, such as global C simulations, the LUCC information could be more inaccurate at coarse spatial resolution (such as 1 2°).
This method simplifies the hotspot reconstruction by using two hotspot parameters that are not distinctly scale-dependent particularly in the context of an inhomogeneous coarse spatial resolution.
Accurately mapping crop area using coarse spatial resolution remote sensing imageries is challenging due to the existence of various spatial heterogeneities.
Land use spatial heterogeneity limits the applications of point and coarse spatial resolution remote sensing data in the regional representation of environmental processes.
Attempts are made to quantify limiting factors resulting from the coarse spatial resolution of data used for generating land cover information at regional and global levels.
