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All remote sensing users must be familiar and used to playing with multispectral bands combination to get certain information from imagery. If you are deeply understand about spectral response curve of surface earth objects, you will know that certain object (vegetation for example) gaves different spectral response compared to another objects. For satellite imagery consist of more than 3 bands (RGB in digital camera), different bands combination in RGB planes gaves different emphasizes to landcover colors in the imagery. Hence they are called multispectral imagery. Most of low to medium resolution imaging satellite currently operational in the earth orbit are multispectral, like landsat, modis, noaa avhrr, and many others.  Multispectral imagery number of bands can range from 4 bands to dozens bands, but not reaching hundreds. When the bands number reached more than one hundred bands it is called hyperspectral imagery and its analysis and image processing workflow would be pretty ...

This article is a continuation from my previous post about how to perform Wind Direction and Speed Estimation from SAR data. In previous post that you can also read from this blog, I have shown how to directly measure Wind Speed and Wind Direction using ENVISAT-ASAR data. And you can also perform this kind of analysis using other kind SAR Sensors like ALOS PALSAR, Sentinel-1 or ERS.  Now for this post, I will talks about post-processed wind speed and wind direction data generated from Sentinel-1 SAR data. Why Post-Processed ? because ESA already publish wind data from Sentinel-1 into Sentinel-1 OCN Product. So if you are using this OCN product, you dont have to generate Wind Speed and Wind Direction by yourself.  The video tutorial below demonstrate how to get those wind parameters data from Sentinel-1 OCN Product, using ESA-SNAP Software. Hopefully it will find some use to you out there. 

Sentinel Satellite Imagery is known for the popularity on geospatial data sources in recent years. First, it is free to use and free to download, second, it is ranging from medium resolution to high resolution, third, it comes from Optical Remote Sensing Spectrum to Microwave SAR Spectrum. It is all gives a comprehensive and holistic data usage experience for the users. The data access and download support are also easy and straightforward. You can access it from Copernicus SciHub, USGS earth explorer, ASF Data Facility, and many geoportals developed by EU Agencies or Private companies. Sentinel data is also stored in AWS (Amazon Web Services) and has declared as an open repository/buckets in AWS, so you can also use the data in a cloud computing environment. This is why many users have been using the sentinel data in clouds (for example, Google Earth Engine Users have been used the AWS repo for the last few years, and many geospatial algorithms or automated processing code have been d...