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该研究是加拿大Saskatchewan Scott农作物轮作系统(ACS)研究的一部分。研究始于1994年,历时18a,评价9个可耕种农作物产量系统的可靠性。由3种处理水平(organic,reduced,high)和3种作物多样性水平(low,diversified annual grains,diversified annual perennials)结合而产生的9个农作物产量系统,被用于监测和评价加拿大牧场不同处理和不同作物种植轮作下可耕种农作物的产量。在2003年生长季共收集了3次叶面积指数和光谱反射率的数据:生长季前期(6月)、生长季旺盛期(7月)、生长季后期(8月)。叶面积指数是由LAI-2000植物冠层分析仪监测的,光谱测量是由覆盖了350-2500 nm波长范围共2215个波段的ADS便携式高光谱仪完成的。结果显示,光学测量可以用于监测农作物生长状况的差异。从生长季的早期到中期,光谱和叶面积指数在不同处理下有显著差异。7月中期是用遥感资料监测农作物长势的最佳季节;红光波段与近红外波段反射率的比值和基于这两个波段构造的归一化植被指数,是检测农作物长势的最佳植被指数。
The study is part of Saskatchewan Scott Crop Rotation System (ACS) research in Canada. The study began in 1994 and lasted for 18 years, evaluating the reliability of nine yield systems for arable crops. Nine crop yield systems, produced by a combination of three levels of organic (reduced, high) and three diversified annual grains (or diversified annual perennials), are used to monitor and evaluate different treatments in Canadian ranches And crop yields of cultivated crops under different crops. Three leafy area indices and spectral reflectance data were collected during the 2003 growing season: early growing season (June), strong growing season (July) and late growing season (August). The leaf area index was monitored by the LAI-2000 canopy analyzer and the spectrometry was done with an ADS portable hyperspectral spectrometer covering a total of 2215 bands in the 350-2500 nm wavelength range. The results show that optical measurements can be used to monitor differences in crop condition. From the early to middle growing season, the spectral and leaf area index were significantly different under different treatments. The mid-July is the best season to monitor crop growth with remote sensing data. The ratio of red band to near-infrared band reflectance and normalized vegetation index based on these two bands are the best vegetation indices to detect the growth of crops.