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Remote sensing provides spatially consistent data sets that cover large areas with both high spatial detail and high temporal frequency.
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One high spatial detail clip (e.g., many small objects, SI ≥ 200 [4]).
This paper presents a new approach to simulate drainage basin evolution and demonstrates that high resolution elevation data can be used as useful tool for a dynamic simulation of Alpine landscape development, in which channel incision is incorporated in high spatial detail.
Although many efforts have been made to resolve this dilemma, most have difficulties in generating diurnal fine-resolution LSTs with high spatial details for landscapes with significant heterogeneity and land cover type change.
The extrapolation from the 1 ha plots (Fig. 5a) produced a smoother distribution of wood volume with lower variance, as expected, whilst the 0.05 ha plot extrapolation retained higher spatial detail with greater variance (Fig. 5b).
When both maps were vector-based, the map with smaller Minimum Mapping Unit (MMU) (i.e. higher spatial detail) was first converted to high-resolution (30 m) raster and then aggregated within the polygons of the map with larger MMU.
This results in a mismatch with respect to spatial detail between environmental and migration data if the latter is provided at higher spatial detail (e.g., at the household level).
Taking the seasonally inundated Zoige alpine wetland in China as a case area, the objective of this paper is to develop a practical and effective approach to quantifying the explicit vegetation FVC details with both high spatial and temporal resolution.
As a result not one sensor provides both high spatial resolution and high temporal resolution.
In contrast, both high spatial resolution and low spatial ambiguity favor the low frequency cues when localizing in azimuth.
To obtain optical property spectra within confined tissue volumes, sdLCS requires both high spatial and high spectral resolution.
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