Vegetation coverage estimation method and device for surface heterogeneity area and apparatus

Abstract

The embodiment of the invention provides a vegetation coverage estimation method and device for surface heterogeneity area and an apparatus. The method comprises: acquiring a priori probability of vegetation coverage and a likelihood probability of vegetation coverage at a predicted time based on a low spatial resolution vegetation coverage product corresponding to each time point of a preset timeseries and high spatial resolution remote sensing data; based on the a priori probability of vegetation coverage and the likelihood probability of vegetation coverage, using a dynamic Bayesian network to obtain a high spatial resolution vegetation coverage estimation result at the prediction time. The embodiment of the invention overcomes the problem of low precision of the estimation result whenthe real surface condition is complex and heterogeneous, can obtain accurate estimation result, and can reflect the dynamic change situation of the vegetation coverage degree, and the texture of theregional vegetation coverage estimation result map is clear, which can reflect the vegetation coverage situation of the surface with strong heterogeneity.

Description

technical field [0001] Embodiments of the present invention relate to the field of remote sensing vegetation information, and in particular to a method, device and equipment for estimating vegetation coverage in a surface heterogeneity area. Background technique [0002] Vegetation is an important part of terrestrial ecosystems and plays an important role in regulating the global water cycle and reducing surface runoff and soil erosion. Vegetation coverage is usually defined as the percentage of the vertical projection area of ​​green vegetation on the ground to the total area of ​​the statistical area. It is an important evaluation index to measure the vegetation status and is widely used in climate change, drought monitoring, agricultural monitoring, soil erosion evaluation and energy conservation. In the field of balance and other fields, and has a certain impact on the atmosphere, soil circle, hydrosphere and biosphere. Therefore, obtaining high-precision vegetation cov...

AI Technical Summary

Problems solved by technology

The spatial resolution of these vegetation coverage products is mostly lower than 300 meters (ranging from 500 meters to 6 kilometers), which is difficult to meet the needs of application departments for high spatial resolution vegetation coverage data

In addition, only a single remote sensing data at the corresponding moment is generally used in the production of these vegetation coverage products, and the quality of remote sensing data is easily affected by factors such as cloud and aerosol conditions

When the quality of remote sensing data is not high at a certain moment, it may lead to low accuracy of estimation results of vegetation coverage at this moment

Images