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Studying the behavior of some slow phenomena, such as crustal or continental deformations, it is necessary to consider time series data, with a sufficient numerousness that depends on their characteri...
This research simulates the urban growth and therefore the landscape change of a mountain city of Chongqing, China through a Cellular Automata (CA) based model of SLEUTH. The fundamental data were fou...
The orbiting cycle and frequent cloud contamination have limited the applications of the moderate-resolution remotely sensed data for detecting rapid land cover changes that are critical to the monito...
Vegetation responses and ecosystem function are spatially variable and influenced by climate variability. The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) was used to combine MODIS ...
A virtual globe to visualize time series of pixels from the MODIS sensor over the South American continent is available in the Internet and was developed at the Brazilian Institute for Space Research....
Geomorphic classification of wetlands relies on information regarding landform and hydroperiod. Additional attributes of wetland size, vegetation cover and salinity can be collected for lower order cl...
TIME-SERIES ANALYSIS OF COASTAL EROSION IN THE SUNDARBANS MANGROVE     Mangroves  Sundarbans  Erosion  Climate Change       font style='font-size:12px;'> 2014/4/30
Mangrove forests are fragile coastal ecosystems and could be one of the most vulnerable ecosystems to global climate change and sea-level rise. These forests are formed in the fringe of land and ocean...

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