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Various remote sensing approaches have assessed the impacts of beetle outbreaks over the last two decades.
Traditional remote sensing approaches have lacked the temporal resolution and consistency to appropriately address this issue.
For this reason, remote sensing approaches are very attractive for elucidating more spatially representative information.
More recently, soil respiration was modeled using a temperature, precipitation and LAI model, providing compatibility with remote sensing approaches [102].
In this paper, various digital remote sensing approaches to extract and estimate impervious surfaces will be examined.
Previous remote sensing approaches have lacked the temporal or spatial resolution, or ecologically appropriate mapping, to fully address this issue.
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A remote sensing approach provided the spatial distribution and total salt pan area of about 36,500 km2.
The remote sensing approach involved multi-temporal LULC analysis for the three study sites (Figure 1).
The lofo cross-validation for the remote sensing approach returned a R2 of 0.65.
For the remote sensing approach seven years (2007 2013) of Landsat 7 reflectance were considered.
For large river systems located within distant settings it is practical to utilize a remote sensing approach.
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