Rice automatic mapping method based on ratio index of water body and vegetation index changes

Abstract

The invention discloses a rice automatic mapping method based on a ratio index of water body and vegetation index changes. Based on time-series data sets within the year of a water body index and a vegetation index, the method detects a vegetation fast-growing stage corresponding to the vegetation index maximum in each growth cycle pixel by pixel, and establishes the ratio index of water body and vegetation index changes according to change amplitude of the remote sensing water body index and vegetation index from the beginning of growth to the fast-growing stage of vegetation, so as to carry out rice automatic mapping. The method makes full use of the characteristic that relative to other crops and natural vegetation, the change amplitude of the water body index is smaller, and the change amplitude of the vegetation index is larger during the period of time from transplanting to heading of a rice paddy field, and through the design of the ratio index of the water body and vegetation index changes based on the ratio of the two for rice mapping, the method has the characteristics of good robustness, high classification accuracy, high automation degree, strong anti-jamming capability and the like.

Description

technical field [0001] The invention relates to the technical field of remote sensing image information processing, in particular to an automatic rice mapping method based on the ratio index of water body and vegetation index change. Background technique [0002] Timely and accurate information on the spatial distribution of crops is crucial for formulating relevant policies and ensuring national food security. As one of the most important food crops in my country, rice plays an important role in food production. It is of great significance to quickly and automatically monitor the spatial distribution range of rice. The traditional manual survey method is not only time-consuming and laborious, but also difficult to achieve full coverage, and is easily interfered by subjective factors. Remote sensing images have the characteristics of strong timeliness and large coverage, and play an important role in crop area monitoring. However, due to the interference of spectral simil...

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Problems solved by technology

However, the disadvantage of this method is that due to various factors such as noise interference, the influence of precipitation, and the range of remote sensing index values ​​in different regions may have certain differences, etc., it is directly based on the original signals of vegetation index and water index in a certain period. method has some limitations

For example: due to cloud factors, EVI time series data may appear abnormally low, even lower than the water index, resulting in misjudgment

Heavy precipitation may directly cause the water body index to rise and be higher than the vegetation index, which also causes misjudgment

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