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During the rapid development of agricultural production, its application has stepped up the scientific agricultural decision-making, and improved the service quality of agricultural production.

Significance of Satellite Remote Sensing (RS) Image to Modern Agriculture

The satellite RS technology is superior in fast and accurate gathering agricultural data and information and timed, positioned and quantified intelligent and automatic info collecting and analyzing, which is very objective. During the rapid development of agricultural production, its application has stepped up the scientific agricultural decision-making, and improved the service quality of agricultural production.

The RS imagery has been more and more applied to agriculture, soil and meteorology and other fields. A highly efficient, precise and diversified agriculture promoted by the RS technology is a future trend for the industry.


Unique Advantages

1.Extensive Information Collection

The satellite RS orbit is about 600km above the ground, with wide range access to resources and information.

2.Rapid Access to Information

The satellites can make periodic cycles around the earth, acquire real-time data of the places they travel across, update the existing resources as well as making dynamic monitoring of the old and new changes of the resource.

3.Few Restrictions on Information Accessing

The natural conditions of marshes, deserts and other areas on earth are too sever to be approached. However, satellites will not be restrained by them and can use RS techniques to timely gather valuable data of those areas.

4.Various Accesses to Information

The RS technology can switch automatically among different wave bands and remote sensing devices according to particular tasks. For example, visible light, UV, infrared and microwave detection. The penetrability varies with different wavebands, hence various ground truth obtained.

Extensive Application

Resources Needed for Agricultural Production Investigation

RS satellites scan and monitor the ground surface via multi-spectral sensors that effectively acquires specific information of ground truth. Objects unveil their different surface textures, shapes and colors in satellite images. Ground objects can be effectively identified and distinguished on account of relevant geographic features.

1.Crop Production Monitoring and Evaluation

Through RS images, the types of crops and their planting areas can be identified and distinguished according to the spectral characteristics of crops. Real-time and dynamic monitoring of crops’ growing condition can be made according to the different multi-temporal and spectral bands. The information system is also adopted to evaluate the output of crops.


2.Agricultural Disasters Monitoring and Assessing

Crops of different species have different spectral features. Even if they are of the same kind, the crops would vary in the spectral reflectance curves for their distinct internal structures and external forms. Therefore, it is possible to monitor and assess the crop disasters.

3.Disease and Pests Control

The leaf structure of plants alters when suffered diseases and pests, which can be displayed accurately under near-infrared spectral reflectance. However, the quality and quantity of chlorophyll remains the same, so does the spectral reflectance ratio of the visible light, which couldn’t be observed by human eyes. while the RS infrared technology is able to accurately and timely predict and forecast the situation, clearly identify the affected degree and make its best to have pests and disease killed at the initial stage.



The standard optical static image is a standard sub-meter product collected by Jilin-1 constellation, which is corrected and calibrated by radiation and sensors. RPC models and metadata files are available in the general tiff format.
The standard luminous (nighttime) images are standard sub-meter products collected by Jilin-1 constellation, corrected and calibrated by radiation and sensors. RPC models and metadata files are available in the general tiff format.
A standard video imagery is a standard video acquired by Jilin-1 constellation, which has a resolution less than 0.9m after being processed through image stabilizing and framing. Products in both avi and mov data formats are provided.

Remote Sensing