Leaf area index inversion and validation for cotton in Xinjiang based on the DMC remotely sensed Mini-satellite data

It is suitable for remote sensing monitoring and precision agricultural for Xinjiang cotton for its unique natural and ecological condition and growing and cultivating characteristic. However, precise monitoring is weak in Xinjiang cotton. We took the farm land of Xinjiang Production and Construction Corps as an example and made the cotton leaf area index (LAI) inversion. It is befitting to invert cotton LAI for Mini-satellite of Beijing-1´ wide scope (600 kilometer), middle spatial resolution (32 meter) and high temporal resolution (2-3 days). The LAI is inverted for Beijing-1 mini-satellite data based on the physical canopy reflectance model and lookup-table inversion method. The LAI is also inverted for TM data considering scaling problems. It is feasible to invert LAI for Beijing-1 through the comparison between the inverted LAI and the LAI from the experiment.