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Grid-accumulation-type regional land desertification early-warning method

A regional and land technology, applied to alarms, instruments, etc., can solve problems that cannot well meet the actual use requirements

Inactive Publication Date: 2013-02-06
XINJIANG UNIVERSITY
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AI Technical Summary

Problems solved by technology

However, the existing research results can not well meet the actual use requirements, so further research on land desertification monitoring and early warning is of great practical significance

Method used

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Examples

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Embodiment Construction

[0028] According to the principle of the present invention, long-term monitoring and early warning of land desertification in Xinjiang region is realized by using MODIS data.

[0029] According to the principle of the present invention, firstly, the available remote sensing data are preliminarily screened, the remote sensing data with a time series of more than 10 years and continuity is selected, and the stability of the data is analyzed. This implementation example selects the NDVI monthly-scale standard product data MOD13A1 data of MODIS data, and its data has undergone strict radiation calibration, atmospheric correction and spatial geometric correction, so these calibrations and corrections are not performed in this example. Then, using the American ENVI software, six typical land types (desert, fixed dunes, Gobi, grassland, forest, and cultivated land) were selected as regions of interest, and NDVI data stability analysis was performed; The surface is all quicksand, and ...

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Abstract

The invention discloses a grid-accumulation-type regional land desertification early-warning method, and belongs to the field of resource development and biological environment protection. The method utilizes remote-sensing image data to monitor the regional land desertification change for a long time, and provides early warning to the regional land desertification according to the remote-sending image desertification monitoring result and a grid-accumulation-type regional land desertification early-warning model. The method comprises the steps of: firstly, judging stability of the remote-sensing data; extracting desertification degree information based on the stable remote-sensing image data to monitor the desertification for a long time; then, performing early warning to the regional land desertification according to the remote-sending image desertification data and the grid-accumulation-type regional land desertification early-warning model; and at last, combining with GIS (geographic information system) technology to construct a desertification monitoring and early-warning information system, and publishing the desertification monitoring and early-warning result onto the Internet by WEBGIS (web geographic information system) technology and .NET technology. The method can be effectively used for monitoring and early-warning the land desertification, and can provide guide and help for treatment and control of the land desertification.

Description

technical field [0001] The invention belongs to the field of resource development and ecological environment protection. It is a new method that uses remote sensing image data to monitor the regional changes of desertification and give comprehensive early warning to the monitoring results. Background technique [0002] Land desertification refers to land degradation in arid, semi-arid and partly semi-humid areas caused by climate change and human activities, which is mainly marked by sandstorm activities. It is one of the most serious resource and ecological environmental problems in the world. Its main hazards are soil wind erosion, sand burial and activation of fixed dunes. At present, more than 100 countries and regions in the world are affected by land desertification to varying degrees, and more than 900 million people are affected by desertification. 3 km 2 of land has evolved into desert, and the direct economic loss caused by land desertification in the world ever...

Claims

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Application Information

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IPC IPC(8): G08B21/00
Inventor 李诚志刘志辉
Owner XINJIANG UNIVERSITY
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