Method for detecting near-surface average temperature based on MODIS data

An average temperature and near-surface technology, applied in the field of satellite remote sensing to estimate near-surface air temperature, can solve problems such as difficult to fit the linear equation of temperature and vegetation index

Inactive Publication Date: 2015-06-17
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

However, this method assumes that the soil moisture conditions and atmospheric conditions in the calculation window are uniform. If the humidity conditions in the window are inconsistent, it will be difficult to fit the linear equation between temperature and vegetation index.

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  • Method for detecting near-surface average temperature based on MODIS data
  • Method for detecting near-surface average temperature based on MODIS data
  • Method for detecting near-surface average temperature based on MODIS data

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Embodiment Construction

[0035] Hereinafter, the present invention will be described in detail with reference to the drawings.

[0036] In the present invention, the near ground refers to a distance of 1.5-2 meters from the ground.

[0037] The implementation area of ​​the present invention is selected as an urban area within the Fifth Ring Road of Beijing, the remote sensing data are MOD11A2, MOD13A2, and MYD13A2 data from MODIS2000-2008, and the actual temperature is measured by weather stations within and around the Fifth Ring Road in Beijing.

[0038] 1. Method flow

[0039] Figure 5 The flow chart of the method for detecting the average near-surface temperature based on MODIS data of the present invention includes:

[0040] A, MODIS data quality filtering

[0041] According to the quality files of MODIS products, through the decimal to binary conversion function, automatic filtering of low-quality and invalid data and automatic extraction of data that meet the quality requirements are realized.

[0042] The...

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Abstract

The present invention provides a method for detecting a near-surface average temperature based on MODIS data. The method comprises: A. obtaining an EVI' based on the MODIS data, the EVI' being an EVI of eight days; B. obtaining an EVIc according to a near-surface average temperature actually measured by a weather station and a corresponding LST and a corresponding EVI in the MODIS data, the EVIc being an EVI of full vegetation coverage; and C. calculating a near-surface temperature Ta according to a formula 8 which is defined as in the description, wherein the Ts<day> and the Ts<night> are obtained based on the MODIS data. Compared with statistical methods, split-window algorithms and thermodynamic methods, the algorithm of the invention requires only one undetermined parameter EVIc, and the module is simple and easy to use, providing good expansibility. Besides, compared with the temperature-vegetation index method, the algorithm of the invention needs not to open up a calculation window, so that the self-similarity of near-surface temperature inversion results is reduced, and the calculation efficiency is improved; what's more, the influence caused by poor effects of Ts-NDVI linear fitting in the calculation window is prevented.

Description

Technical field [0001] The invention relates to a method for estimating near-surface air temperature by using satellite remote sensing, in particular to a method for estimating near-surface air temperature based on MODIS data. Background technique [0002] The air temperature at 2 meters near the surface (T a ) Is an important meteorological parameter, which affects the energy cycle and water cycle of the earth-atmosphere interaction system, and plays a very important role in the change of animal and plant habitats. Traditional observation T a The method is to use fixed or mobile weather stations. For continuous parameters in space, this measurement method has many shortcomings, such as the lack of density, uniformity, and spatial representativeness of weather stations, which will lead to inability to accurately describe Temporal and spatial variation characteristics of temperature field. Remote sensing technology is expected to be able to make up for the shortcomings of traditi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01K3/02
Inventor 陈云浩孙灏
Owner BEIJING NORMAL UNIVERSITY
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