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遥感作物估产在许多国家正在积极开展。美国宇航局等先用遥感方法鉴别作物与估算面积,并在当年产量=历史平均产量+倾向+天气影响的基本思想指导下,建立作物产量与气温、雨量的计算模式,根据预报的天气对产量进行逐月逼近估算。美国学者S.B.Idso试图更多地利用遥感信息进行作物估产。他在田间试验的基础上,提出一个所谓“SDD”概念
Estimations of remote sensing crops are being actively pursued in many countries. NASA and other first remote sensing method to identify crops and the estimated area, and in the current year output = historical average yield + trend + weather impact of the basic idea of guidance, the establishment of crop yield and temperature, rainfall calculation model, according to forecast weather yield Make a monthly approximation. American scholar S. B. Idso tried to make more use of remote sensing information for crop estimation. Based on the field experiments, he proposed a so-called “SDD” concept