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作物缺水模式的引入作物缺水状况基本取决于土壤水分含量。在有作物覆盖的条件下,遥感土壤水分含量,其原理与遥感裸地土壤水分含量不同。以作物红外辐射信息为基础,辅佐以必要的气象参数,求出作物缺水指标,以它估算作物缺水状况。这种思路的研究工作已在美国开展多年。其中有代表性的研究成果是美国农业部水保持实验室Idso,Jackson Ragenato等学者的论文。在七十年代中期,他们提出SDD概念,(stress degree days)利用作物红外温度
The introduction of crop water deficit crop water shortage basically depends on the soil moisture content. Under crop cover conditions, remote sensing of soil moisture content, the principle and remote sensing bare soil moisture content is different. Based on the crop infrared radiation information, assisted with the necessary meteorological parameters, find the indicators of crop water shortages, with which to estimate the status of crop water shortages. Research on this line of thinking has been carried out in the United States for many years. A representative of these is a paper by scholars such as Idso and Jackson Ragenato at the USDA Water Conservation Laboratory. In the mid-1970s, they proposed that the SDD concept, stress degree days, make use of the crop’s infrared temperature