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NDVI time series represent vegetation changes on land surfaces in time and space. MODIS, revisiting the earth once or twice a day, provides time series NDVI, which is a big advantage in global change study. However, the 1-km resolution of MODIS is too low to quantify the changes of heterogeneous landscapes. HJ-1 30-m CCD sensor can show detailed spatial information, but is affected badly by the weather,...
In addition to climate-related processes, aerosol effects are also enormous in regional/local atmospheric phenomena. Fine resolution satellite data can be used to provide a macro-view of extreme aerosol events. The Aerosol Optical Thickness (AOT) for two extreme aerosol events were retrieved with spatial resolution 500m over East of China and Washington state, USA, respectively. Validation confirms...
Image fusion techniques can improve the quality, and increase the application of satellite images. The wavelet transforms provides a preeminent approach for the improvement of the spatial resolution with minimal distortion of the spectral content of the source image. Three types of wavelet bases and four types of wavelet transforms are used to perform the fusion between MODIS and NOAA images. The...
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