Time sequence LAI curve integral area region rice mature period prediction method
A technology of time series and curve integration, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as inaccurate forecasting, and achieve the effect of overcoming inaccurate forecasting
Pending Publication Date: 2020-11-13
黑龙江省农业科学院农业遥感与信息研究所
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[0003] To sum up, the problems existing in the existing technology are: there is no relevant method for predicting the maturity stage of rice using remote sensing data in the prior art, and the existing prediction of the maturity stage of rice is mainly realized manually, and the prediction is inaccurate
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[0053] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0054] Aiming at the problems existing in the prior art, the present invention provides a method for predicting the maturation period of rice in the integrated area area of the time series LAI curve. The present invention will be described in detail below in conjunction with the accompanying drawings.
[0055] Such as figure 1 As shown, the time series LAI curve integral area region rice maturity prediction method provided by the embodiment of the present invention comprises the following steps:
[0056] S101: Use Sentinel-2 data combined with field surveys to classify the crop types in the study area, and obtain a 20-me...
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The invention belongs to the technical field of rice mature period prediction, and discloses a time sequence LAI curve integral area region rice mature period prediction method, which comprises the steps of classifying crop types in a research region to obtain a rice planting region map; obtaining a Sentinel-2 LAI product in the rice growth period, and reconstructing an LAI time sequence; obtaining a rice heading period when the LAI reaches a peak value; extracting a Sentinel-2 LAI time sequence, and calculating a rice maturation threshold value; constructing a CSDM curve for simulating an LAItime sequence track; simulating an LAI curve on the basis of the CSDM curve for simulating the LAI time sequence track; forming an LAI integral curve of the whole growth period; forecasting a matureperiod in the first 15 days, and calculating an integral area ratio Rpre day by day according to the LAI integral curve of the whole growth period in a forecasting interval; and generating a regionalrice mature period prediction spatial distribution map, and guiding timely harvesting of rice.
Description
technical field [0001] The invention belongs to the technical field of rice maturity stage prediction, in particular to a method for predicting rice maturity stage in a time series LAI curve integral area area. Background technique [0002] At present, the closest existing technology: agricultural remote sensing refers to the comprehensive technology of agricultural applications such as the use of remote sensing technology for agricultural resource surveys, land use status analysis, agricultural disease and pest monitoring, and crop yield estimation. Situation, forecast and prediction of crop diseases and insect pests. Combining remote sensing technology with various disciplines of agronomy and its technologies, it is a comprehensive and highly comprehensive technology that serves agricultural development. It mainly includes using remote sensing technology to investigate land resources, investigate and analyze land use status, monitor and analyze crop growth, predict pests ...
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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/06393G06Q50/02
Inventor 宋丽娟辛蕊付斌陆忠军黄楠刘洋毕洪文郑妍妍刘艳霞李岩叶万军刘媛媛姜辉董擎辉张宇
Owner 黑龙江省农业科学院农业遥感与信息研究所