With the rapid development of the technique of remote sensing, many vegetation biophysical variables are estimated from remote sensing data. However, the biophysical variable products are limited to certain resolutions and some products are incomplete in space. Therefore these products can not meet the needs of many operational applications. Therefore, more and more attentions have been paid to fusing or assimilating multi-sensor and multi-temporal data to improve the biophysical variable products with precision as high as possible and high temporal resolution and variable spatial resolutions ...
