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Table 1: Remote sensing images and river levels measured
Figure 2: Dispersion of the maximum river levels estimated for different return times using hydrological simulation based on several climate models projections (2011-2100)
Figure 4: Estimated number of affected population based on

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Since the resolution of the nighttime light remote sensing data is very coarse and also exists the phenomenon of lighting overflow, the clipping area includes not

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague,

KEY WORDS: Unmanned aerial vehicle, satellite remote sensing, vegetation indices, winter wheat, site specific crop

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague,

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague,

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, 2016 XXIII ISPRS Congress, 12–19 July 2016, Prague,

The approach consists of four major steps: the extracting of missing residential area from the remote sensing images with high resolution; the statistic analysing on the size

The goal of this Rapid Information Products and Services (RIPS) Project, funded through the Canadian Space Agency, is to identify the contribution that remote