A real irrigated area identification method based on cumulative evapotranspiration over time

Abstract

The present invention provides an actual irrigation area identification method based on cumulative evapotranspiration in time periods, step 1, calculating the daily irrigation evapotranspiration of pixels within the farmland range; The shortest duration window T* for irrigation identification; step 3, use the histogram of the probability distribution of cumulative irrigation evapotranspiration in the period corresponding to T*, analyze and determine the threshold value ET* of irrigation and non-irrigation pixels; step 4, use the selected threshold value ET * Divide the accumulated irrigation evapotranspiration data according to T* time length, and the pixels whose accumulated irrigation evapotranspiration is greater than ET* are irrigated pixels, otherwise they are non-irrigated pixels; step 5, when the long window T is greater than T*, Repeat steps 3 and 4 to get the actual irrigated area within T time. The invention provides that high vegetation coverage and precipitation affect the actual irrigated area and affect the recognition accuracy, and provides a method for determining the shortest time window for identifying the irrigated area based on evapotranspiration.

Description

technical field [0001] The invention relates to the technical field of agricultural actual irrigated area identification, in particular to an actual irrigated area identification method based on cumulative evapotranspiration in time periods. Background technique [0002] Under the dual impact of global climate change and social and economic development, the problem of water shortage has become increasingly prominent and has become one of the main bottlenecks of sustainable social and economic development. Agricultural water accounts for 62% of my country's total water use, and irrigation water accounts for more than 90% of agricultural water use. The actual irrigated area is an important supporting information for agricultural water use statistics and modern agricultural management. It is of great significance for monitoring the irrigation system of irrigation areas, optimizing the use of water resources in irrigation areas, preventing drought, optimizing crop planting struc...

AI Technical Summary

Problems solved by technology

Although the response process of soil water content changes to irrigation is rapid and the accuracy is high, the response process is easily affected by other water supplements (such as precipitation), and the inversion accuracy of soil water content is affected by vegetation growth.

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