Sentence examples for by coarse spatial resolution from inspiring English sources

The low detectability of small-burned areas by coarse spatial resolution products limit the efficacy of these products at smaller spatial scales when detailed information is required.

Since the critical time step size depends on the viscosity and the spatial resolution, these instabilities limit the robustness of the Navier Stokes solver in case of complex engineering applications characterized by coarse spatial resolutions and small viscosities.

The study presents a procedure to overcome existing limitations by using coarse spatial resolution NOAA-AVHRR (Advanced Very High Resolution Radiometer) data within a framework of combined multitemporal imagery and fuzzy-logic based geospatial data analysis.

Because of the limited skill and coarse spatial resolution, the DPPs provided by General Circulation Models (GCMs) fail to be directly applicable for impact assessment.

Next, it was aimed to assess how delineated HPs were spatially matched to satellite data with coarse spatial resolution.

The problem of coarse spatial resolution is only partially addressed by the ZIP code or census tract solution.

The second limitation is the coarse spatial resolution of the location traces, which is determined by the granularity of cellular tower coverage.

The advantage of coarse resolution sensors are daily observations across the entire globe, but the coarse spatial resolution, as well as the relatively short time span covered by MODIS, are significant drawbacks in analyzing landscape-scale trends in phenology.

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.

Combining coarse spatial resolution data from the MODerate-resolution Imaging Spectroradiometer (MODIS) and Landsat provides opportunities to close these gaps by simulating Landsat-like images at MODIS temporal resolution.

The TsHARP model provides a possibility to generate fine spatial resolution thermal data from coarse spatial resolution (≥1 km) data on the basis of an anticipated inverse linear relationship between the normalised difference vegetation index (NDVI) at fine spatial resolution and land surface temperature at coarse spatial resolution.