Spectral analysis and time series pdf

      Comments Off on Spectral analysis and time series pdf

The latest significant contributions by the U. European Union countries are the successful lunch and operation of Landsat-8 and Sentinel-2 satellites. We wish to help users quickly realise the full potential of the latest Landsat spectral analysis and time series pdf Sentinel imagery.

Your software made my job easy. I like what I’ve seen of this software so far! Thanks for your time, and the software! It is a very impressive piece of software and created very crisp and natural looking images.

Thank you for an excellent product. I have used other pan-sharpeners and yours beats them all. I have found ST for Landsat-8 Imagery to be my most useful tool in working with the OLI images. I am using your Spectral Transformer and all works perfectly.

Many thanks to you for this great and accurate tool. It’s like an App on PC and the first button click acts as simple as the ‘voice’ input in Google search. It is productive and saves time! Functions include band combinations, image stretching, image pan-sharpening, and exploratory image feature extraction. Perfect software tool to get the daily fresh Landsat-8 imagery into GIS and remote sensing software, and Google Earth Pro.

2017: Refining the software GUI to accommodate the long file name of Landsat-8 Collection 1 Level 1 data. Recently, there are other avenues to rapidly download Landsat-8 imagery, e. For the Landsat-8 Collection 1 Level-1 standard data product, a pixel is commonly represented by a Digital Number, not the true reflectance of land surface. The Landsat-8 data from AWS S3 or other sources may be in compressed GeoTIFF format. GIS software QGIS to make format conversion first before analysis. The USGS Landsat portal provides comprehensive FAQs in relation to the new Landsat-8 imagery and its comparison with the previous Landsat series.

It is important to read these before conducting proper image processing. An overview of some common band combinations for better discrimination of various ground features is provided here, there, but one should not be limited by given prescriptions. While the imagery source is magnificent, more work needs to be progressed on how to use the imagery in a straightforward way. There are many remote sensing and image processing software tools on the market, but it is fair to say that very few can efficiently make beautiful, detail-rich imagery composites with adaptive image histogram stretching and advanced image pan-sharpening. One may spend hours to produce something that is of high quality. And for casual users and the general public, dedicated tools to process the vast Landsat imagery archive are lacking.

Spectral Discovery for Landsat-8 Imagery fill in this gap. We believe these tools are very useful for a wide range of users who are interested in analysing the latest Landsat-8 imagery. 1 2 3 -s 2 0. To improve the brightness of the imagery composite, one may increase non-linear stretching values to 10, 20, 30 and so on. The same procedure equally works for any three-band combinations. Through iterations, any number of multispectral bands can be fused and pan-sharpened.