Domestic and foreign remote sensing satellites and remote sensing sensors

Summary of basic information of the article

Author : doll~CJ

Article number : 001-C (C is a comprehensive basic article, S is a graded and detailed article, P is an applied practice article, and E is a supplementary article)

Content finishing cycle : April 24, 2023 - May 2, 2023

Article submission date : May 2, 2023

Abstract : With the vigorous development of China's aerospace industry, China's remote sensing research and application industry has ushered in new opportunities and challenges, and a large number of multi-source remote sensing data continue to emerge. In the face of a variety of remote sensing data, understanding the development history of remote sensing satellites and sensors at home and abroad, knowing the operating parameters of satellites and sensors, and grasping the frontier research directions of remote sensing science can better build the remote sensing science learning system architecture and enhance the application of satellite data processing. ability. Based on the synthesis of a large number of previous research results, this paper makes a partial summary of the basic concept and classification of remote sensing satellites and sensor classification, sorts out the "first" satellite time series made public in my country and the United States, and sorts out common satellite data. Provide assistance for the selection of remote sensing experiment data and the learning of basic concepts of remote sensing science.

1. Development and Prospect of Satellite Remote Sensing

        Satellite remote sensing is an important technical means for collecting earth data and information. It has many characteristics such as no national boundaries, wide coverage (wide range), periodic observation (repeatable), and objective data. The remote sensing image data obtained by it has the characteristics of high spatial resolution, high temporal resolution, high spectral resolution and high radiometric resolution, and is basically processed through the remote sensing image processing platform (radiometric correction (on-demand atmospheric calibration) ), geometric correction, projection transformation, mosaic fusion, etc. &

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