Abstract: 【Objective】The cotton field quality was diagnosed with the remote sensing technology, and the results would provide the technology support to take the active measurements for cotton industry, and would promote to increase the yield and efficiency.【Method】The multi-temporal remote sensing of the flower-boll stages data was fused in the years form A.D. 2005 to A.D.2006. In terms of the relationship between cotton growth and cotton field quality, and the determination ability of multi-temporal remote sensing data for dynamic information, the cotton field quality conditions were divided into the three styles of the healthy cotton field, handicapped cotton field and suspected cotton field with handicap.【Result】The results showed that the 0.82 of LANDSAT-5 TM4 reflective was reasonable to divide the healthy and handicapped cotton fields with the single-time remote sensing images from the flower-boll stages of cotton, and then 417 cotton fields about 11705.3hm2 was classified using the multi-temporal data, the results were that the three-style proposition of cotton field quality was 36.4%, 34.1% and 29.5% respectively; the validity of classification was proved by the synchronization investigation based on the eight cotton field（426hm2）, and the testing results of soil character and total salt indicate that the main factors of handicapping cotton field were salting, disunity of character, difference of level. 【Conclusion】It was believed to diagnose the cotton field with multi-temporal remote sensing data of cotton growth and map the information of cotton field quality, and combining the mechanism inducing the cotton field different quality, the precise information of cotton field quality would provide the data support to improve the cotton soil conditions.

Key words: Cotton growth, Multi-temporal, Remote sensing, Cotton field quality