Flood disaster warning water area remote sensing survey method

Abstract

The invention provides a flood disaster warning water area remote sensing survey method, belonging to the field of disaster monitoring. The flood disaster remote sensing monitoring has no uniform objective standard, thus the disaster remote sensing monitoring results can not reflect actual situation of the disaster; and the invention puts forward a concept of the flood disaster warming water area, formulates the remote sensing survey technology and regulations, establishes the flood disaster warning water area remote sensing database of the main river basin in China and provides quantitative standards and basis for judging and estimating the flood disaster. The invention is a background element of the estimation on the flooding disaster loss, has certain warning and indicating effects and can greatly improve the flood disaster remote sensing control emergency response speed. The flood disaster warning water area remote sensing survey method comprises five units of warning water area awareness and interpretation mark sample establishment, warning water area remote sensing survey standardized processing, warning water area information extraction, warning water area assignment and splicing, and warning water area integration and management. The survey method can provide scientific basis for the decisions of flood protection and disaster relief, thus having great social and economic benefits.

Description

technical field

[0001] It belongs to the field of disaster monitoring, especially the technical field of remote sensing monitoring of flood disasters. Background technique

[0002] my country is a country with frequent flood disasters. Every year, flood disasters cause heavy losses to the life and property of the country and people. The government and relevant departments urgently need to quickly obtain scientific data on disaster situations to make disaster relief and mitigation decisions. As a new space observation technology, remote sensing has the characteristics of wide range, sustainable observation, and not affected by weather, and plays an irreplaceable role in flood disaster monitoring. However, due to the lack of a unified evaluation standard, different departments use the same remote sensing data to monitor and evaluate flood disasters in the same region and period, and the results are often very different, resulting in divergence in decision-making. On the basis...

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