Global population growth and consequent increase in food needs; When evaluated together with the problems such as a decrease in arable land and decrease in productivity in existing agricultural areas; Accurate and timely information on the determination of farming areas and the regional distribution of products is of great importance in economic, environmental and managerial terms. At this point, synoptic vision provided by remote sensing systems and image data in various spatial and temporal resolutions is essential data sources in obtaining agricultural information. In agricultural studies to be carried out with satellite images, different spectral reflectance properties for other plant species, shape, and texture differences that vary according to plant species are essential parameters that can be used for remote sensing analysis.

As a result of the analyses carried out considering these parameters, information on product type, product density, and product geometry can be produced using satellite images.

Satellite data can be used in both macro and micro scales, depending on the resolution characteristics, in realizing the separation of plant species.

Two basic processes can describe the use of satellite images in determining agricultural areas and their species. At this point, we come across spatial resolution as another parameter of success in the analysis of the images obtained in the appropriate period with various methods, especially classification, and in the spatial analysis of agricultural areas and plant species. Of course, in the spatial and spatial analysis of species, the size of the farming areas covered by the species and the contrast of the reflection of the species with the reflection properties of the surrounding objects are essential, but the spatial size of the reflective differences that the sensor can distinguish on the surface, that is, the pixels that it can identify, is an essential factor.

With this innovation, which aims to make agricultural activities more profitable and sustainable by detecting changes in harvest and vegetation in seasonal changes, with solutions for the farming sector, it provides images within a vast and distributed area in global agricultural regions with satellite images. With these images, we can follow plant health.

Continuous monitoring enables early identification of trends and problems in agricultural products and real–time monitoring of crop tracking.

Infield variations are detected with intensive vegetation analysis and vitality warning. Data obtained at the field level provides rapid control of changes in crop health.

1. Deforestation is detected.
2. Daily crop growth is monitored.
3. Efficiency is increased by optimizing the inputs.
4. Agricultural areas are analyzed, and abnormalities are detected.

To ensure the continuity of natural resources, infrastructure, and people with high–quality daily global images.

1. Land management is provided.
2. Change in land cover is monitored.
3. Protection of natural resources is ensured.
4. Faster solutions are produced for natural and artificial disasters.

Geographical information can be viewed and published with daily monitoring.

1. With 3m resolution monitoring, hard–to–reach areas are accessed and analyzed.
2. Topographical changes over time are examined with the possibility of a deep archive.
3. Easy access to data and export of your maps to your preferred GIS environment is provided.

The daily dataset enables financial services and insurance companies to identify market opportunities and business risks quickly.

1. Disaster risk assessment is made.
2. Demands are detected in real–time with high quality and high–resolution images.
3. By managing environmental risks, it is ensured that they use more sustainable finance and funds.

Thanks to Satellite Image Solutions, the world’s leading technology, which is one of the indispensables of agriculture, it is now possible to take high–resolution images from agricultural fields and the earth every day. In this way, the development of agricultural products can be monitored in detail every day, and situations that are contrary to phenological development can be determined early.

It obtains invisible data and information from satellite images with models based on plant phenology and creates detailed color maps of fields with advanced mapping capabilities. In this way, economical solutions are offered in agriculture while providing the opportunity to make versatile analyzes and evaluate your agricultural decisions from every angle.

In addition, by processing high–resolution satellite images, producers and companies are provided with the opportunity to monitor the field and crop status daily. With both visual and statistical analysis of agricultural areas, real–time data and predictions are supplied from planting to harvest.

With the satellite maps provided by this technology, without having to visit your field;

1. Create preventive action plans,
2. You can monitor the development of plants every day,
3. You can see the weekly change of your area on a single map,
4. You can mark the regions that should be given priority to visit,
5. Observe the effects of agricultural practices on crop performance,
6. It can control whether your products have entered the harvest cycle,
7. At a single glance, you can see the best growing areas of your field and where development problems are observed,
8. By following the color changes, it can detect various problems such as diseases, growth retardation, irrigation obstruction early,
9. You can receive alerts and notifications if you wish.