Corn waterlogging monitoring method and system

Abstract

The invention discloses a corn waterlogging monitoring method and system. The corn waterlogging monitoring method comprises the following steps: acquiring images of waterlogged corn in different timeperiods, wherein the different time periods comprise before rainfall, during rainfall, after rainfall stop and after rainfall; preprocessing the images in different time periods to obtain preprocessedimages; adopting a supervised classification method for the preprocessed image to obtain a corn crop planting area; extracting a corn waterlogged area by adopting a multi-temporal normalization waterbody index calculation method according to the corn crop planting area; and dividing the corn waterlogged area by adopting a multi-temporal normalized vegetation index calculation method according tothe corn waterlogged area to obtain a corn heavy waterlogged area and a corn light waterlogged area. By adopting the corn waterlogging monitoring method or the s corn waterlogging monitoring ystem provided by the invention, the corn heavy waterlogging area and the corn light waterlogging area can be accurately divided, so that a reference basis is provided for determining the disaster range of corn crops and evaluating the damage condition of the corn crops.

Description

technical field [0001] The invention relates to the field of crop waterlogging monitoring, in particular to a corn waterlogging monitoring method and system. Background technique [0002] In the past, methods for identifying waterlogging include meteorological index and remote sensing; the meteorological index is calculated based on the measured rainfall data of meteorological station data, which cannot detect the waterlogging process in time and space accurately, and most meteorological indexes such as SPI require Many years of site data, and the site data is sparsely distributed, and the use effect is poor. [0003] In terms of remote sensing means, the methods commonly used to extract water bodies include chromaticity discrimination method, single-band threshold method, band combination method, multi-spectral hybrid analysis method, remote sensing image classification method, using spectral relationship to establish a model, and DEM to detect water depth. The single-band...

AI Technical Summary

Problems solved by technology

The single-band mid-near-infrared band has obvious response characteristics to water bodies, and is often used to identify and monitor water bodies. However, in the identification of crop waterlogging, due to the existence of a lot of confusing information, it cannot reflect the moisture in the soil, so it cannot effectively divide heavy waterlogging areas and Lightly flooded area

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