The Study Of Cotton Main Cultivation Physiological By Near Ground High Remote Sensing

Remote sensing technology, congregating special, sensoring, informational and computer technique, can rapidly and periodically obtain land information broadly. It has become one of the advanced methods on monitoring agricultural environment. Using Remote Sensing to monitor cotton grow condition is very useful for cotton field management.To make cotton field nutrition instant diagnoses instrument based on High Remote Sensing, this study analyzes the relationship between leaf spectrum, canopy spectrum and main cultivation indexes, then sets regression models. Results are as follows:1) The correlation degree between Chlorophyll and reflectance is higher in visible light than in infrared light. The first differential coefficient reaches negative significant level at 0.01 in blue edge range from 490 to 550 nm and the former part of red edge from 680 to 717 nm, positive significant level at 0.01 in yellow edge range from 557 to 668 nm and the latter part of red edge from 717 to 797 nm. Set models with 103 modeling samples and 100 test samples, y=1183.5FD754^0.9059 is chosen as regression model.2) The correlation degree between water containment and reflectance is higher in infrared light than in visible light. Set models with 61 modeling samples and 60 test samples, y = -0.0124 Area9802 + 4.9857 Area980+ 2.8937 is chosen as regression model.3) The correlation degree between cotton leaf cellulose containment and reflectance reaches 0.05 significant level only in blue and red range. Set models with 37 modeling samples and 16 test samples, y = 0.39578-0.49776e^{-R429/R743/0.13036} is chosen as regression model.4) After analyzing the relationship between canopy spectrum and biomass of main stages, we find that the relationship of the whole wave band changes affected by flower and batt. Set models with 74 modeling samples and 73 test samples, y=1261e^{0.3716 P_Area920}is chosen as regression model.5) Using these 4 models, we study leaf and canopy spectrum of different water deal cotton. Under draught stress, cotton biomass, Chlorophyll Density and water containment are all lower than normal cotton. While cellulose containment is higher compared with normal cotton and the cotton represents caducity. Thus can we carry out precision irrigation monitor to derate produce loss, use water resource reasonably, relying on real time spectrum.