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The requirement for land surface temperature (LST) in environmental studies and resource management makes the remote sensing of LST an important topic. As a result, a number of studies about the development of methodologies for retrieving LST have been carried out. This paper attempts to use both the split-window algorithm and the Linear Spectral Mixed Model for computing vegetation fraction, in order...
Relationship between vegetation and climate has been a hot spot in climate change researches since vegetation is a key component of land ecosystem that represents climate change. In this study, GIMMS NDVI data and meteorology data (precipitation and temperature) from 1982 to 2006 are used to do time lag analysis between NDVI and precipitation/temperature. First, whole time series NDVI and precipitation/temperature...
A linear unmixing model considering NDVI and rainfall is used to estimate vegetation fractional coverage, which wet season precipitation and sensitivity of mean NDVI to wet season precipitation are used as state variables in the model. The fractional coverage for each 8 times 8-km area in this region is classified into three categories: (1) a portion of the land surface that always remains as bare...
For mining would destroy grassland ecosystem seriously, monitoring grassland degradation and analyzing its influence mechanism in mine areas can play an important role in grassland ecosystem restoration and reconstruction. This paper was mostly focused on the remotely-sensed monitoring of grassland degradation. We first computed NDVI (normalized difference vegetation index) in different time using...
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