Process existing free remote sensing
data with MapTiler
Different satellites carry different sensors and therefore they vary in provided services. The well known value is a spatial resolution, which refers to the size of one pixel on the ground. It can be increased by pansharpening, a technique of merging high-resolution panchromatic (grayscale) with low-resolution colored images. But satellites with high-resolution cameras covers just small areas and therefore they have long revisit time, which is a crucial aspect for some types of analysis. Some projects require data in other spectral bands, such as infrared for NDVI application for agriculture. The data also vary in level of processing: from raw sensor data to calibrated images with correct location information. MapTiler helps to turn an image into final zoomable map.
By draging and droping images into MapTiler, setting a few parameters and rendering you can get output in the form of an online map. This can be uploaded to cloud services like Amazon S3 or Google Cloud, but also to your own servers or integrated into your application.
Windows | Mac | Linux
Processing of large volumes of data can be parallelized on multiple computers using MapTiler Cluster to significantly decrease the rendering time.