Forest biomass estimation method considering harmonic model coefficient and phenological parameter

Abstract

The invention discloses a forest biomass estimation method considering harmonic model coefficients and phenological parameters. The method comprises the following steps: S1, image acquisition and preprocessing; s2, establishing an MCCDC model based on multi-source remote sensing data; s3, forest annual phenology extraction based on a logistic regression equation; and S4, forest biomass mapping based on phenological parameters. Forest phenological parameters extracted based on remote sensing and a constructed harmonic model MCCDC coefficient serve as input variables of tree species classification and biomass modeling, optical remote sensing and radar images are coupled on the basis of improving the forest tree species group mapping precision, an optical-radar-phenological model is constructed according to tree species, and the forest species group mapping precision is improved. The defect that the influence of the tree species on the modeling precision is not distinguished during traditional AGB modeling is overcome to a certain extent, and therefore the precision of regional scale forest biomass mapping is improved.

Description

technical field [0001] The invention belongs to the technical field of forestry remote sensing, and in particular relates to a long-time series reflectivity harmonic model simulation coefficient variation feature of different ground objects considering multi-source remote sensing data, and a new method for performing forest biomass mapping based on vegetation phenological parameters extracted therefrom. method. Background technique [0002] Forest biomass (AGB, Aboveground Biomass) is an important basis for the assessment of the carbon sink potential of forest ecosystems, and its changes also reflect the forest's response to factors such as ecological succession, natural disturbance, human activities, and climate change. important indicators of evaluation. Therefore, the rapid and accurate acquisition of forest biomass information plays a fundamental role in supporting the effectiveness of forest management plans and evaluating the carbon neutrality of forests, and also hel...

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Problems solved by technology

The main disadvantages of this method are: large investment in manpower and material resources, poor timeliness of inventory results, limited by terrain, and difficulty in large-scale promotion, etc.

[0004] In these existing forest biomass estimation studies, there are few studies that comprehensively consider the impact of phenology on AGB

In addition, most of the current AGB modeling tends to ignore the differences in the responses of different tree species to the modeling accuracy, and integrate all the tree species in the study area into one model, and they are modeled separately at a single time point (the time fusion strategy is not considered) , which reduces the estimation power and precision of the model, and limits the ability of the model to extrapolate on the time scale

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