Satellite cloud-avoiding observation method

Abstract

The invention discloses a satellite cloud-avoiding observation method which comprises the following steps: (1) respectively mounting a cloud identification device and an imaging load on the ground of a satellite along the satellite flight direction, wherein the cloud identification device is in the front, and the imaging load is in the rear; (2) determining the observation starting and ending positions of the imaging load in an orbit period in the imaging process aiming at a target area according to the attitude maneuver capability of the satellite; (3) enabling the view field of the cloud identification device and the view field of the imaging load to point to the target area through attitude maneuver between the satellite observation starting and ending positions, imaging the target area through the cloud identification device, calculating a cloud coverage rate, and transmitting an imaging load imaging starting construction or imaging stopping instruction according to a relationship between a calculation result and a preset threshold value; (4) repeating the step (3) in each orbit period, and thus finishing imaging of the target area. According to the method, due to additional arrangement of the cloud identification device and reasonable layout of the imaging load, cloud gap finding and satellite cloud-avoiding imaging are realized.

Description

technical field [0001] The invention relates to an earth observation method of a remote sensing satellite. Background technique [0002] Reliable and continuous earth observation remote sensing data is an important information source for the earth environment operational monitoring system and multi-resource base database. As the remote sensing method closest to naked eye observation, optical satellites have the strongest data readability, and are currently the most widely used and extremely important way to obtain remote sensing data. [0003] For optical satellites, the occlusion of clouds and fog has become the biggest factor affecting the acquisition of satellite remote sensing data. Incomplete statistics show that invalid data due to cloud and fog occlusion can reach more than 50% of the total data obtained. At present, the implementation of satellite imaging tasks mainly relies on the ground-based injection instructions in advance, and performs imaging with a preset a...

AI Technical Summary

Problems solved by technology

Due to cloud and fog occlusion in the corresponding direction of the satellite, the imaging data of the target area is often unavailable

[0004] However, for the sky above the target area, not every angle is covered by clouds and fog, and there are often gaps in the clouds or cloud gaps due to the height difference of the clouds

The current satellite imaging mode that relies on command presets cannot find gaps and perform imaging, thus wasting some potential imaging opportunities

For very important targets, every opportunity should be seized to obtain effective image data, but the current satellite imaging method obviously cannot meet this requirement

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