On March 31, another high-scoring satellite -the high-scoring 12th 02 satellite was successfully launched and was sent into a predetermined orbit. This satellite will be used in the fields of national land survey, urban planning, land ownership confirmation, road network design, crop yield estimation, and disaster prevention and mitigation.
sounds great, but how do high score satellites serve cities, crops, and disaster prevention?
Let’s first get to know " remote sensing ". Remote sensing refers to the detection of without direct contact. Currently, electromagnetic wave is mainly used as the medium. Sounds a little obscure? In fact, remote sensing detection is very simple.
The specific process is like this
[The first step is to a "love hug"] p _span3 pspan_span3 p2span_span3 p2spanp _span3 psp Electromagnetic waves will carry information about objects
[The second step is remote sensor "measurement" data]
span_span4 uses remote sensing Electromagnetic wave
to obtain information-containing remote sensing data
[The third step "translate" into understandable information] _span _span _strong2 p29
processing, inversion and interpretation
get the information contained in the object
2span From information to data to information,It's like doing "useless work". In fact, it is not. It can convert some unclear information of into useful information at a glance, which is very valuable, such as landform morphology, crop growth, water characteristics, soil characteristics, atmospheric composition, etc. The process of "translating" remote sensing data into useful information is also called the application of satellite remote sensing.
Usually, we convert the information obtained by the remote sensing satellite into the interpretation and analysis process of the ground feature information that needs to be obtained in a specific discipline, which is called the application of satellite remote sensing.
Next, let’s take a closer look at the application of satellite remote sensing. Satellite remote sensing data records the electromagnetic spectrum characteristics of ground objects, most of which are reflected by image data. However, the information provided by the image data is not directly presented by , but is expressed through one or more complex forms of tones, structures and their changes on the image, which is very unintuitive and requires professionals to do " translation".
Original remote sensing image
To "translate" satellite remote sensing data, must have background knowledge of image interpretation and professional knowledge of related disciplines. For example, for an image data of a forest, it is necessary to grasp the spectral information of different plants in order to determine which plants are in the image; and to deduce whether the plants are growing normally requires the knowledge of botany major .
Satellite remote sensing application diagram
Now, we know that the application of satellite remote sensing requires professional "translation". How is the information "translated" used? You know, there are many applications of satellite remote sensing.
The application field of satellite remote sensing
| 193span, land remote sensing, land remote sensing, forestry _spandp 193sp _span3sp 186 disaster mitigation, public safety, mapping and geographic information | |
| meteorological remote sensing | weather forecasting, climate monitoring and other |
| ocean remote sensing | ocean observation forecasting, marine fisheries guidance |
| astronomy and space remote sensing | astronomical observation, space exploration and other military remote sensing |
|
| Reconnaissance information, missile warning, marine surveillance, etc. |
Take the monitoring of plant diseases and insect pests as an example,When plants or crops get sick or are attacked by pests, the leaf color, plant shape, leaf structure, and chlorophyll content of the plant will change. These changes will make infested plants have great changes in the spectral characteristics of plants , then professionals can monitor plant diseases and insect pests through plant spectral characteristics in the plant remote sensing images obtained by satellite remote sensing.
Vegetation spectrum curves of different disaster levels
The distribution map of leaf area index of crops in a certain area
Forest disasters in a county based on Gaofen No. 1 remote sensing data
Isn’t it amazing! Through remote sensing satellites, we can learn about the detected objects and obtain more monitoring information, so that we can deploy and adjust in time, or even in advance, to stop losses and benefit.
In the future, more remote sensing satellites will be sent into space to contribute to our better life!
How is the development of remote sensing satellites in my country?
my country's remote sensing technology started in the late 1970s,At present, my country has launched resources, environment, high-resolution terrestrial remote sensing satellites, Fengyun series meteorological satellites and ocean series marine satellites . Several major satellite series have been initially formed; several countries have been established Class-level remote sensing satellite data receiving and service system , including China Resource Satellite Receiving System, China Remote Sensing Satellite Ground Station, Meteorological Satellite Application System, and Marine Satellite Application System, provides the country with a large amount of scientific information support in various aspects.
Source/perceive the earth: satellite remote sensing knowledge quiz (published by China Aerospace Press), written by He Wei, Man Yiyun, Shi Hongwei, etc.
22span
review/Yang Jie
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