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MOSAIC
STACK
ALIGN
PIXEL BASE CHANGE DETECTION
CLOUD REMOVAL
HAZE REMOVAL
SLOPE
MACHINE LEARNING DOWNSCALE
IMAGE RESAMPLING
MOSAIC
In this modern age, remote sensing applications have started to play a much bigger role in many fields such as environmental monitoring, disaster assessment and the creation of base maps for land use land cover mapping. Mosaicking is a tedious process when done manually and can take weeks or even months to complete. EOfactory provides a powerful tool that can alleviate your problems and merge several satellite/aerial images into a single image just with a click of a few buttons while ensuring the quality of the image is not compromised.
STACK
Improve the precision of your images using the stack function. This will help in making sure analysis is done in a more efficient way to reduce false positives that may hinder insights when building AI models and analysing data.
ALIGN
As the number of satellites globally increases, so does the number of images they capture. At this very moment, there are a countless number of images being captured; this indicates that there is also a vast amount of information that can be extracted from these images. When comparing images from different dates, these images are usually misaligned; this makes it difficult for remote sensing experts to analyse these images accurately. EOfactory provides for the usage of the alignment function to adjust the images and ensure that the longitude and latitude of images are matched with each other. EOfactory makes the usage of this tool quick and efficient with our easy-to-use user interface and fast processing speed.
PIXEL BASE CHANGE DETECTION
Change detection is a very important service that can be used by companies to help governments and other companies monitor their assets through time series analytics. EOfactory platform allows you to carry out this service in a seamless and easy way that can effectively show the user/client the difference between images of different dates.
CLOUD REMOVAL
It is such a pain when one wants to analyse an optical image, but there is a huge cloud cover that prevents them from doing so. Don’t worry, EOfactory has you covered. EOfactory has a cloud removal function on its platform that can remove the cloud cover efficiently with just a click of a button.
HAZE REMOVAL
Just like the cloud removal function, the haze removal function helps to effectively remove haze from an image. This would increase the accuracy of insights acquired from the processing of the imagery. Coupled with the easy-to-use interface of EOfactory, deliver insights to your clients/users in a quick and easy manner without the need for manual work. Users can easily download results obtained from analysis to send their clients or integrate into their school/research related work.
SLOPE
Viewing and interpreting the steepness of terrain is important in the geosciences domain. It also helps in remote sensing in the use cases of disaster management analysis which include landslides, erosion, etc. To help researchers and clients understand the irregularities in the earth’s surface more, EOfactory provides for the use of the slope function to calculate the steepness of pixels in the images. The lower the value of the slope, the flatter the terrain. Likewise, the higher the value of the slope, the steeper the terrain.
MACHINE LEARNING DOWNSCALE
Downscale allows for prediction at a finer spatial resolution than the initial imagery. This method is also known as super resolution. This is an extremely useful tool for experts to increase the resolution of their initial imagery to get better results of their analytics and insights. Tie in this analytics with a business intelligence dashboard to provide unique insights to your clients.
IMAGE RESAMPLING
As the volume of Earth Observation Data increases, the demand of processing between multiple datasets is also matching this increase. It is very difficult to analyse data of different pixel resolutions. The image resampling tool provided by the EOfactory platform removes this problem through the average resampling technique.