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

An average temperature and near-surface technology, which is applied in the field of satellite remote sensing estimation of near-surface air temperature, and can solve problems such as difficulty in fitting the linear equation of temperature and vegetation index.

Inactive Publication Date: 2013-10-16
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] Below, the present invention will be specifically described in conjunction with the accompanying drawings.

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

[0037] The present invention's implementation area is selected as the urban area within the Fifth Ring Road of Beijing, and the remote sensing data is MOD11A2, MOD13A2, and MYD13A2 data of MODIS2000-2008, and the measured temperature is the actual measured value of the weather station within the Fifth Ring Road of Beijing and surrounding areas.

[0038] 1. Method flow

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

[0040] A. MODIS data quality filtering

[0041] According to the quality file of MODIS products, through the decimal to binary conversion function, the automatic filtering of low-quality and invalid data and the automatic extraction of data mee...

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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] 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 best way is to use fixed or mobile weather stations. For spatially continuous parameters, this measurement method has many shortcomings, such as the lack of density, uniformity, and spatial representation of weather stations, which will lead to inaccurate descriptions. Temporal and spatial variation characteristics of air temperature field. Due to its instantaneous and large-scale observation characteristics, remote sensing technolo...

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Application Information

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