pixelcooker

Current imaging technologies are so advanced that photography today is not only about the photo result, but also many additional properties, include the photo location. Embedding location is very common today because almost all imaging enabled devices (smartphone, notebook, tablet, GPS handheld, etc) as abilities to store GPS coordinates into the EXIF metadata inside a photo. Online services like FLICKR or Google Maps also provide ability to host a collection of photos/images that also can display the photos based on its coordinates into an online maps.  Now for GIS users, does the display photos or images based on its location into a GIS software?. The answer is yes you absolutely can. You can do this kind of visualization almost in every GIS software available on the market. ArcGIS and QGIS absolutely can do this. Now if you are interested to do this in GIS environment, I have created a video tutorial about how to do it in ArcGIS below. 

When I first made this blog, I wrote few articles about Panchromatic Sharpening (Pan Sharpening). This article is also can be considered as one of them. In this article, I will share about Gram-Schmidt Pan Sharpening Method. Since a few years ago, Gram Schmidt Pan Sharpening Algorithm has been implemented in ENVI Software, and it becomes one of the best Pan Sharpening methods that could not only preserve spatial details of the Panchromatic band but also maintain the spectral fidelity of multispectral bands.  The goodness is, this algorithm now is also has been implemented in ArcGIS. So finally we can perform a decent Pan Sharpening operation in GIS Software. This will reduce multiple software operations when we need pan-sharpened data. So finally it would be more effective for us, GIS analyst. I won't explain the technical aspect of the algorithm because there are many articles on the internet that already talks about it. I only want to share how to perform pan sharpening using Gra...

ENVISAT is the flagship earth observation satellite of the European Union from 2000 to 2010. It brings a huge number of payloads and sensors. The most well-known are AATSR, ASAR, and MERIS. ASAR (Advanced Synthetic Aperture Radar) is the continuation of the ERS1-ERS2 satellites which operate in the nineties to early 2000. The satellite now has been decommissioned due to communication problems, but the data is still considered precious because it is recording the earth phenomena in the last decade.  ENVISAT ASAR data has been available for the public, however, its access right now is quite limited due to EU rules. ENVISAT ASAR data comes in with a wide range of data formats, and all of them are supported to read and process in ESA SNAP Software. So if you have access to ENVISAT ASAR, I advise using ESA SNAP if you want to get maximum benefits of the data. Nonetheless, other SAR Software can also process this data. Recently I have access to the data and I start to play around with th...