Camellia oleifera remote sensing yield estimation method based on water stress condition yield estimation model

Abstract

The invention provides a camellia oleifera remote sensing yield estimation method based on a water stress condition yield estimation model, and relates to the field of satellite remote sensing, the method comprises a fixed point monitoring station, a remote sensing satellite, an information transfer station and an information processing terminal; the remote sensing satellite periodically shoots amultispectral picture and a high-definition imaging picture and sends related data to the outside; meanwhile, the information transfer station is used for receiving earth surface remote sensing data transmitted by the remote sensing satellite and forwarding the earth surface remote sensing data to the information processing terminal, and the fixed-point monitoring station periodically performs fixed-point area real-time monitoring on a fixed-point area of the camellia oleifera and measures the soil moisture content T1 in different periods; and the information processing terminal calculates theestimated yield of the camellia oleifera per unit area according to the camellia oleifera remote sensing yield estimation model.

Description

Technical field[0001]The present invention relates to the field of satellite remote sensing, in particular to a method for estimating the yield of Camellia oleifera based on a water stress condition estimation model.Background technique[0002]Camellia oleifera is an important woody oil tree species. Camellia oil is recognized as one of the best quality edible oils in the world. Its unsaturated fatty acid, linolenic acid and vitamin E content are higher than olive oil. It is very beneficial to the health of the people and is recognized by the United Nations. The healthy edible oil is listed as a key promotion by FAO. With the increasing global demand for green consumption, tea oil is favored by consumers, and demand in domestic and foreign markets exceeds demand. Camellia oleifera can also process a variety of high value-added by-products, which are widely used in industry, medicine, daily chemical and other fields, and have a high comprehensive utilization value. Vigorously developin...

AI Technical Summary

Problems solved by technology

[0003] Vegetation stress is a term in terms of hyperspectral remote sensing and agricultural remote sensing. It refers to the influence and restriction of vegetation growth and distribution due to the influence of external factors. Among them, drought is one of the main natural disasters that seriously endanger my country's agriculture. There is a greater threat, but most of the existing research on water stress conditions is still in the preliminary research and judgment stage, and it is impossible to make an effective judgment on the yield of Camellia oleifera according to the drought trend