Optimal band selection for seedling rape growth monitoring with consumer-grade camera based on low-altitude Remote Sensing
WANG Chufeng1,2， WANG Tianyi3， LIAO Shipeng1,2， ZHANG Dongyan4， XIE Jing5， ZHANG Jian1,2
1.College of Resources and Environment， Huazhong Agricultural University， Wuhan 430070， China；2.Key Laboratory of Arable Land Conservation (Middle and Lower Reaches of Yangtze River)， Ministry of Agriculture， Wuhan 430070， China；3.Department of Biological and Agricultural Engineering， Texas， A&M university， College Station， Texas 77843， USA；4.Anhui Engineering Laboratory of Agro-Ecological Big Data， Hefei 230601， China；5.College of science， Huazhong Agricultural University， Wuhan 430070， China
Abstract：Remote Sensing based on unmanned aerial vehicle (UAV) is a powerful supplement to satellite and aerial remote sensing platforms. It is playing a more important role in low-altitude remote sensing observation field. Furthermore， optimal selection of spectral bands and vegetation index will raise the accuracy of response to crop growth monitoring. Therefore， the research on the optimal band selection for growth monitoring of rape was carried out based on low-altitude UAV platform， which contained a consumer-grade camera after infrared reconstruction. The camera was fixed with one IR-cut (RGB) and three IR long pass (lp680， lp720， lp850) filters. Then visible image was obtained by IR-cut (RGB) filter， and the near infrared images from different spectral position were obtained by lp680， lp720， lp850 filters. After that， some common vegetation indexes were calculated based on different band images. Meanwhile， the same vegetation index was also calculated by synchronous canopy spectrum of rape based on spectral response of each filter. The results showed that the correlation between the vegetation index based on RGB image information and the normalized difference vegetation index(NDVI) in ground measurement was high. The normalized difference index (NDI) was the best VIs， the R2 of which has reached 0.945. At the same time， the results based on images were consistent with that based on synchronous canopy spectrum of rape. On this basis， the correlation between NDI and nitrogen application in the rape planting experiment was calculated， and the R2 was 0.963. The study showed that the visible spectrum of conventional consumer-grade camera could also accurately obtain the crop growth information without infrared reconstruction. In general， the study provides a scientific reference for crop monitoring with consumer-grade camera.
王楚锋,王天一,廖世鹏,张东彦,谢 静,张 建,. 基于低空遥感的消费级相机油菜苗期长势监测最优波段选取[J]. 华中师范大学学报(自然科学版), 2018, 52(4): 565-573.
WANG Chufeng,WANG Tianyi,LIAO Shipeng,ZHANG Dongyan,XIE Jing,ZHANG Jian,. Optimal band selection for seedling rape growth monitoring with consumer-grade camera based on low-altitude Remote Sensing. journal1, 2018, 52(4): 565-573.