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A Remote Sensing Monitoring Method for Agricultural Drought

A technology of remote sensing monitoring and drought, which is applied in the field of remote sensing technology and vegetation monitoring research to achieve the effect of overcoming saturation of vegetation index and high accuracy

Active Publication Date: 2018-11-02
PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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Problems solved by technology

[0010] The main purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, and provide a remote sensing monitoring method for agricultural drought, which makes up for the inaccurate defect of the traditional TVDI model in the drought monitoring results in areas with high vegetation coverage, and improves the dryness and humidity. The fitting accuracy of the edge equation is good for drought monitoring in areas with high vegetation coverage, and has the advantages of fewer parameters, easy data acquisition, and accurate results

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  • A Remote Sensing Monitoring Method for Agricultural Drought
  • A Remote Sensing Monitoring Method for Agricultural Drought
  • A Remote Sensing Monitoring Method for Agricultural Drought

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Embodiment 1

[0054] This embodiment has been improved aiming at TVDI model, constructed ETVDI index model, see figure 2 , the specific improvements are as follows:

[0055] (1) The research results of scholars at home and abroad show that NDVI, as a commonly used vegetation index in the world, has a good effect and strong applicability in areas with relatively sparse vegetation, but for areas with high vegetation coverage, Especially for the southern regions of China, vegetation index saturation is prone to occur, and EVI can just make up for this. Therefore, for the southern regions of China, EVI is more applicable than NDVI. Therefore, in this study, the NDVI in the original model is used as EVI to replace.

[0056] (2) For the definition of "dry edge" and "wet edge" in the TVDI model, there is no relevant research yet. In the initial stage of model construction, for the convenience of calculation, a linear relationship is used for fitting. However, in practice, the discrete points co...

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Abstract

The invention discloses an agricultural drought remote sensing monitoring method, which comprises the following steps: 1) calculating enhanced vegetation index and land surface temperature according to surface reflectance and thermal infrared remote sensing images; 2) constructing an ETVDI model through the surface temperature and the enhanced vegetation index calculation result, and obtaining maximum value and minimum value of the surface temperature under the same enhanced vegetation index value and the number of pixel points at the points of same surface temperature values corresponding to different enhanced vegetation index values; and 3) carrying out polynomial fitting on the maximum value and minimum value corresponding to the same enhanced vegetation index value to obtain wet and dry boundary equations in the ETVDI model, and obtaining fitting parameters. The method overcomes the defect that a conventional TVDI model has vegetation index saturation easily in a dense vegetation area and the defect of uncertainty of wet and dry boundary equation fitting, thereby improving fitting precision; precision is higher in the expression aspect of temporal and spatial development of the drought; and the method can reflect the process of drought growing, development and elimination more truly, and provides reference for early warning and monitoring of the agricultural drought.

Description

technical field [0001] The invention relates to the field of remote sensing technology and vegetation monitoring research, in particular to a remote sensing monitoring method for agricultural drought. Background technique [0002] Drought has the characteristics of being difficult to detect at the initial stage, having a long cycle and spreading widely, which seriously affects regional security and social stability. Therefore, it is very important to do a good job in early warning and prediction of drought and to study drought monitoring methods suitable for the region. [0003] At present, in the study of soil moisture monitoring, the inversion research of regional soil moisture based on remote sensing technology has become an important research direction due to its advantages of wide range, high efficiency and time continuity, and many soil moisture inversion models have been established. Among them, the most widely used monitoring model is the TVDI (Temperature Vegetatio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S17/88G01J5/00G01N21/55
CPCG01J5/00G01N21/55G01S17/88
Inventor 王行汉亢庆扶卿华刘超群喻丰华赵敏尹斌何颖清杨留柱曾麦脉俞国松邝高明
Owner PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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