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Method for remote sensing estimation of net primary productivity of plants

A technology of net primary productivity and vegetation, applied in the field of remote sensing analysis and agricultural remote sensing application research, can solve problems such as difficult model parameters, and achieve the effect of high estimation accuracy

Inactive Publication Date: 2017-02-22
SOUTH CHINA AGRI UNIV
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Problems solved by technology

However, the CASA model is established for the North American region. In other regions,

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  • Method for remote sensing estimation of net primary productivity of plants
  • Method for remote sensing estimation of net primary productivity of plants
  • Method for remote sensing estimation of net primary productivity of plants

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Embodiment 1

[0060] In order to improve the estimation accuracy of vegetation net primary productivity, the present invention corrects the vegetation photosynthetically active radiation absorption ratio (FPAR) and water stress coefficient in the light energy use efficiency model (CASE) on the basis of previous studies, so as to establish Remote sensing estimation model of vegetation net primary productivity applicable to different study areas. Method flow see figure 1 , 2 .

[0061] In this example, Zengcheng District, Guangzhou City was taken as the research area, and the CASE model parameters after inversion and correction were used for the first time in October 2013 using the high-spatial-resolution domestic "Gaofen-1" visible light-near-infrared data product and TM thermal infrared data , estimating terrestrial vegetation net primary productivity is a brand-new research method. The steps of the method for estimating vegetation net primary productivity remote sensing in this embodimen...

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Abstract

The invention discloses a method for remote sensing estimation of net primary productivity of plants. The method comprises the steps of performing data pre-processing on remote sensing data; extracting LAI data of an MODIS product in the remote sensing data, and calculating an FPAR; calculating astronomical radiation total Q0 according to geographical location information of a research area including longitude and latitude and date; extracting an empirical coefficient according to conventional global radiation and sunshine percentage data of the research area; using Q0 and the empirical coefficient to calculate solar total radiation quantity SOL; calculating photosynthetically active radiation (APAR) according to the FPAR and the SOL; extracting soil water content and an empirical parameter in the remote sensing data, calculating current leaf water potential, and calculating water stress factor in combination with the previous empirical coefficient; extracting temperature data in the research area in meteorological data, calculating temperature stress factor f1(Ta); calculating solar energy utilization rate epsilon according to f1(Ta), and the maximum solar energy utilization rate; and calculating net primary productivity (NPP) according to the APAR and epsilon. The method has the advantages of being high in estimation precision.

Description

technical field [0001] The invention relates to the fields of remote sensing analysis and agricultural remote sensing application research, in particular to a remote sensing estimation method for vegetation net primary productivity. Background technique [0002] Vegetation net primary productivity (NPP, Net Primary Production) is the amount of organic matter accumulated by green plants per unit time and unit area, and is one of the basic quantitative characteristics of an ecosystem. Its size directly reflects the biological characteristics and system structure characteristics of the ecosystem itself. , and the combined effects of environmental factors on forest growth. Accurate estimation of vegetation net primary productivity plays an important role and significance in determining global carbon cycle, terrestrial ecosystem evolution, ecosystem carbon sink and ecological regulation process. [0003] In recent years, with the development of remote sensing technology, remote ...

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Application Information

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IPC IPC(8): G06F19/00G06T7/00
CPCG06F2219/10G06T7/0002G06T2207/10032G06T2207/30188G16Z99/00Y02A90/10
Inventor 胡月明刘振华胡曼琴陈联诚
Owner SOUTH CHINA AGRI UNIV
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