Recent remote sensing applications play more and more important roles in many fields such as environmental monitoring, disaster assessment or creating base map for land use land cover. Therefore, the analyzing remote sensing is moving from single image scene to regional mosaics which require several image scenes. However, the quality of mosaic image depends on the radiometric and geometric characteristics of individual image. Understanding that, with growing requirements of this techniques, EOFactory provide a mosaic tool to merge many satellite or aerial images together.

Analyzing the deep image in remote sensing can take more precious information such as in analyzing spectral of object or analyzing time-series images and stack is one of necessary step to do analyze. EOFactory develops stack tool to combining multiple images into a single image.

Remote sensing images are growing faster and faster, the information provides for researchers more and more. That leads the requirement to analyze time series increasing. This cause the alignment between satellite images more important. Understand the requirement, EOfactory propose the align tool that means latitude and longitude for all pixels in warp images will match with base image. Then the geometrically aligns two images with different geometry will be same coordinate system and present same object.

The demand for update information about surface is increasing and the data from remote sensing provide opportunities to acquire information about land at various scale and time which are useful for change detection analyzing. For this reason, EOF implement pixel base change detection tool which base on the pixel techniques. An image pixel is analyzed the spectral characteristics to detect and measure changes.

Cloud cover is the problem in optical image that cause the loss of information in image and make the difficulty to analyze image. In EOF, the cloud removal tool is presented to take the information in another image which leads to recover information in cloud covered area.

Haze is one of the problem in satellite image which affects the accuracy of data intelligibility and interpretability. Consequently, haze removal is the important task for optical image collection. To solve this challenge task, EOF brings Haze removal tool which calculate the cloud, water and haze mask then using algorithm to remove haze in image

Researching slope play an important role in Geosciences, especially in disaster analysis like landslide and erosion. To help understanding earth surface more, EOFactory give slope tool to calculate the steepness at each pixel of image. The lower value means flatter the terrain; the higher value identify the steeper area.

Downscale allow prediction at a finer spatial resolution than the initial imagery, this method also known as super-resolution. However, the tradition method has some problems to implement like the available the finer map. To solve this problem, EOfactory took advantage of GAN neuron to build the model help user get the better spatial resolution.

With increasing remote sensing data, the demands of processing between multiple datasets is also raising. Thus, it is difficult to analyze with different pixel resolution, ideally the image data should be the same. The image resampling tool in EOFactory deals with this problem by using average resampling technique.