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Application of Satellite remote Sensing Technology in Agriculture

Jun 30, 2022

Remote sensing refers to a non-contact, long-distance detection technology.  It is a new technology that combines sensing telemetry and resource management monitoring of the earth

Remote sensing refers to a non-contact, long-distance detection technology.

It is a new technology that combines sensing telemetry and resource management monitoring of the earth's surface (such as trees, grasslands, soil, water, minerals, farm crops, fish and wildlife) through telemetry instruments on man-made earth satellites.

Remote sensing technology has the advantages of large coverage area, short revisit period and relatively low acquisition cost, which plays a unique role in the investigation, evaluation, monitoring and management of large area open-air agricultural production.


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Agricultural remote sensing is the application of remote sensing technology in agricultural production.

Since the emergence of civil resource satellites in the 1970s, agriculture has become the first field in which remote sensing technology has been put into application and significant benefits.

Especially with the emergence of high spatial, hyperspectral and high time resolution remote sensing data, agricultural remote sensing technology has made a breakthrough in key technologies such as crop growth dynamic monitoring, crop species subdivision, field precision agricultural information acquisition and so on.

At present, agricultural remote sensing monitoring mainly takes crops and land as objects to obtain crop planting area, growth monitoring, yield estimation, pest monitoring and early warning, disaster damage assessment and so on.


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1. Investigation of agricultural resources.

Including the investigation of cultivated land resources, soil resources and other current resources, as well as the dynamic monitoring of land desertification and salinization, farmland environmental pollution, soil erosion and so on, to provide the quantity, distribution and change of all kinds of resources, as well as the evaluation of all kinds of resources based on the investigation, put forward the countermeasures that should be taken for the organization, management and decision-making of agricultural production.


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2. Measurement of crop planting area.

Remote sensing data can be used to measure the land planting area, measure the length and area of the land, in the mechanized operation, can reasonably evaluate the operation needs and time, provide convenience for practitioners and improve efficiency.


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3. Monitoring of crop growth.

Using remote sensing data to monitor the growth of crops, analyze and process the image data taken by satellite, and judge the growth of crops, we can take corresponding measures to promote the better growth of crops in poor areas.


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4. Remote sensing prediction of crop yield and maturity.

Combined with crop growth model and historical data information, the maturity and yield of crops can be predicted.

 

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5. Monitoring and forecasting of crop diseases and insect pests.

Including dynamic monitoring of crop diseases and insect pests, freezing injury, flood, drought, dry and hot wind, etc., crop area and spatial distribution of diseases and insect pests can be extracted periodically.


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6. Disaster assessment and regional remediation.

Through remote sensing technology, we can have a more comprehensive understanding of the disaster situation of crops, timely disaster assessment, damage determination, regional remediation and so on.


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With the development of science and technology, the application of remote sensing in agriculture is becoming more and more common. From high-altitude satellites and low-altitude UAV to all kinds of modern sensors in the field, more and more intelligent technologies are gradually applied to the process of agricultural production to contribute to intelligent agriculture.


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