A Remote Sensing Monitoring Method for Wet Soaking of Winter Wheat Based on the Fusion of Satellite-Ground Multi-source Precipitation Data

Abstract

The invention discloses a remote sensing monitoring method for winter wheat wet-spot damage based on the fusion of satellite-earth multi-source precipitation data, including: collecting and arranging ground rain gauge observation precipitation data sets, satellite inversion precipitation data sets, NDVI data sets, DEM data, crops Phenological information, statistical data of winter wheat planting area and field sampling data of winter wheat planting area, and preprocessing and filtering of NDVI data; use the processed NDVI time series data to extract the spatial information of winter wheat planting area; use geographically weighted regression Klicking method Construct a quantitative model of precipitation information fusion to obtain precipitation data sets; use the precipitation data set and extracted winter wheat planting area, combined with wet water damage indicators, to monitor the area affected by winter wheat wet water damage. The invention utilizes the data to carry out an effective method for large-scale spatial monitoring of crop wetness damage, and has stable technical feasibility.

Description

technical field [0001] The invention belongs to the field of agricultural meteorological disaster monitoring, and in particular relates to a remote sensing monitoring method for winter wheat wet soil damage based on fusion of satellite-earth multi-source precipitation data. Background technique [0002] Under the background of climate change, the increase of extreme weather and climate events has made agricultural meteorological disasters present a trend of high frequency, high intensity, and increasingly serious danger, and the impact on agricultural production is increasing. Wet waterlogging is one of the common agricultural meteorological disasters in the world. It occurs in the United States, Australia, Russia, central and eastern Africa, China, Pakistan, India, Nepal, Bangladesh and other countries, and it will cause damage to crops in different growth stages. different degrees of harm. It is estimated that about 10% of the world's land is severely affected by soil wat...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the difficulty of using the surface rain gauge alone to observe the precipitation to monitor the space of winter wheat wet damage, and to use satellite inversion precipitation products alone to have a large error in the spatial monitoring of winter wheat wet damage. Geographically weighted regression Klicking method fuses precipitation data from surface rain gauges and satellite retrieval products to obtain a high-quality, high-spatial-resolution spatial precipitation data set, and uses the data for spatial monitoring of wet-soaked winter wheat

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