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利用遥感技术监测农作物长势,进行产量预测,是遥感应用中的重要课题之一。介绍应用陆地卫星MSS数据进行此项工作的文献较多,大致可归纳为如下几方面: (1) 以目视解译为主。将不同时相、不同波段的影像经光学处理,突出作物信息,配合地面实况资料,推断和评价作物长势,预测产量。 (2) 从农作物光谱特点出发,根据反射率曲线寻求与产量相关性大的日期和波段,建立估产模式。 (3) 引入绿度(G)概念做为评价作物状况的定量标准。用红和近红外波段地物反射率的各种组合来表示,常用的有归一化差值植被指数、比值植被指数等。找出G与产量之间的相关关系。 (4) 在积温基础上建立估产模式。利用作物活动面温度、作物含水量和长势之间的密切关系建立物理
Using remote sensing technology to monitor crop growth and forecast production is one of the most important topics in remote sensing applications. There are many literatures about the application of Landsat MSS data in this work, which can be summarized as follows: (1) The main content is visual interpretation. The images of different phases and different bands are optically processed, highlight crop information, cooperate with the ground truth information, infer and evaluate crop growth, and predict yield. (2) Starting from the spectral characteristics of crops, the date and band with large correlation with yield were found according to the reflectance curve, and the estimation mode was established. (3) Introducing the concept of greenness (G) as a quantitative standard for evaluating crop status. With the red and near infrared spectral reflectance of various combinations to represent, commonly used normalized difference vegetation index, the ratio of vegetation index. Find the correlation between G and yield. (4) Based on the accumulated temperature estimation model. Use the close relationship between crop surface temperature, crop water content and growth potential