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How to create 3D geospatial visualization using QGIS and ThreeJS

Perform Accuracy Assessment and Change Detection using confusion matrix automatically Generated from QGIS

Saya baru mempublish salah satu kumpulan tutorial (lama tapi) baru tentang pengolahan gps di dalam GIS di GPlay Books, dengan harga yang (semoga) cukup murah, Hasil penjualan insya Allah sebagian besar digunakan untuk membeli kopi agar otak bisa memproduksi buku2 tutorial lain di masa mendatang, Terimakasih, Link Buku di Google Play Books di sini https://play.google.com/store/books/details?id=wILvDAAAQBAJ

Mapping and detecting burned areas due to forest fire made easy  

How to calculate percentage vegetation cover

Taken from my essay in my master education course  

How to open File Geodatabase in QGIS, a nice new features from QGIS team, Great!  

Bagaimana cara mengubah satuan grid/gratikul di ArcGIS dari E/S/W/N menjadi BT/BW/LU/LS ini penting sebenarnya, tapi jarang orang yang bisa, hehehe

New features in QGIS 2.16

How to make band composites in QGIS, it is even easier compared to "you know" lol

Another easy way to download OSM data

Another video tutorial for ya'll

I wont give a long clues and sentences in this post, because this is just another workaround to download OSM Data. One thing that matters just, this tool support BBOX downloading and Javascript Query to download specific layer or subtypes Let the picture tells itself

Actually, we could display online map services into global mapper and further leverage the software capabilities to deal with certain tasks. This can be achieved using protocol similar to what we do in SASPlanet, i.e creating an xml file which contain the URL and tags, import it to global mappers's online data sources and just go mapping. Start by copy the code below in an XML file <source_list creator= "Global Mapper - http://www.globalmapper.com" version= "1.0" xmlns:xsi= "http://www.w3.org/2001/XMLSchema-instance" xmlns= "http://www.globalmapper.com/OSL/1/0" xsi:schemalocation= "http://www.globalmapper.com/OSL/1/0 http://www.globalmapper.com/OSL/1/0/gmc.xsd" > <source type= "GMAP" ></source> <name> Bing Maps Hybrid </name> <group_list> <group> &lt;![CDATA[*** POPULAR SOURCES ***]]&gt; </group> <group> IMAGERY

Nowadays, bringing maps to the field is not as complex/expensive as in the past. There are numerous software and tools that could be utilized to do that. A range of IOS/Android/Windows phone gadgets can do it using various methods either online or offline then synchronize all the fieldwork to the source data back in the office. But people usually looking for simple and cheap way no matter what is the purpose to do the fieldworks. Am I right ? so if you are one of them (like me too), I will give some insight that may  could be useful. PDF format since few years ago has been incorporated geospatial information as part of the auxiliary information stored in the file. This cool feature enabling us to save a map in PDF format (include its geospatial coordinates) and then transfer it to our phones and brings it to the field to do field check (integrated with our phones GPS Capabilities). This method sure saving us more resources instead of field online mapping (in aspect of carrier data

Saya akan menggunakan bahasa indonesia untuk postingan ini agar lebih mudah dipahami.  Jadi ceritanya, saya sedang mengumpulkan peta-peta tua yang pernah merekam wilayah kepulauan nusantara/timur jauh/republik indonesia untuk mendukung rencana penelitian thesis (soon to be). Salah satu diantaranya adalah peta-peta yang pernah diproduksi oleh U.S Army Map Services (1943-1945) yang dapat diunduh di SINI , dan banyak digunakan dalam Perang Dunia ke II Teater Asia Pasifik. Peta-peta ini dikompilasi dari Peta-peta yang dibuat jawatan topografi hindia belanda (Topografische Dienst) dari tahun - tahun sebelumnya. Peta-peta ini juga selanjutnya di-update dan dikompilasi ulang oleh JANTOP TNI-AD dalam bentuk Peta Topografi dan selanjutnya BAKOSURTANAL dalam bentuk Peta Rupabumi pada masa Negara Kesatuan Republik Indonesia.  Dikarenakan saya akan menggunakan peta ini sebagai sumber informasi, maka peta ini harus match dengan peta-peta lain (baik yang lebih lama maupun baru), misalnya de

Dropbox, surprisingly could be used to host a static web page. There are other providers too like Google Drive. But its capabilities will be discontinued after August 2016. And by the this functionality, we can host a simple webmap (or little bit complex, I dont know, didnt test it yet) using this service. The hosting procedure is quite easy, 1. Make a dropbox account and login 2. Looks for "Public" folder and make a directory there. 3. Write your own webmap, for example I copy an html file somewhere, and edit it to include my Mapbox webmap into its DIV Tag, then I just place the html to the directory created on step 2. The code looks like this : 4. Save it to Html and place to the directory on the step 2. 5.  Then left clik on it, > Looks for "Copy Public Link" 6. Paste into browser. 7. Click this LINK to see how the code in step 3 looks like

I just noticed that at the recent version, ArcGIS has been implemented some sort of physical liked surface reflectance generation function in its image analysis module. The function is called apparent surface reflectance. An algorithm which takes into consideration all the iradiance related information stored in the metadata (sun azimuth angle, sun elevation angle, radiance gain/bias etc) to derive surface reflectance dataset, although it is not pure physical (because it does not consider the atmospheric condition at the acquisition date). The algorithm target the illumination condition which is theoretically should be similar between dates and wavelengths (differs in reality due to atmospheric effects, sun angle/position and sun-earth distance in every season etc) so it could be usable for color balancing and mosaicking (not sure if it will add certain degrees of accuracy in image classification). I make a guide if you want to try it by yourself

A new landsat-8 data provider has been added Using simple interface you can straightforwardly download landsat-8 data either just some bands or full dataset. This portal utilizing Amazon S3 free access Landsat-8 repository, so it will have some data acquisition delay compared with official USGS repository (EarthExplorer, GLOVIS, REVERB). Based on the test I conducted, I think data access thru this portal is greatly useful if you just need some quicklook or visual interpretation needs. Oh btw, Landsat-8 data obtained from this portal is reprojected to Web Mercator Projection, so if you need the data in UTM or Geographic Projection, just reproject it using ArcGIS, QGIS or other Geospatial softwares.

From day to day, QGIS is getting bigger and bigger. Continuous and expanded support from open source geospatial developer has made this software go beyond its initial development. More and more tools/plugins has been created and offering more flexibility and features to the software. It is fair to said that this software is now became an ideal example of successful non commercials geospatial movement. Personally I am starting to count more on this software because it is now offering some distinct tools unavailable on commercial counterparts. The keys of QGIS for me are simplicity, straightforward how to, and free to use. I am not kidding, below is an example how the simplicity means. A Tutorial about how Online Map could be deployed easily from QGIS. Using fast growing to use WebMap Frameworks like Openlayers or leaflet, a not experienced and programming literate user could make an online webmap with sophisticated looks just with some clicks. Check it out below. And last b

Its been a while since last time I am exploring pan sharpening. Recently I am stumbled on ENVI which had  just released version 5.3 (version 5.4 will be released around summer 2016 as far I know) and it is brings some new tools in their arsenal. One of them is NNDiffuse Pan Sharpening Algorithm. ENVI has known for very long time only have 4 common image fusion/pan sharpening algorithm (PCA, Brovey, CN, and IHS/HSV) thats not quite good to maintain spectral quality of the fusion/pan sharpening result. At later version, they are adding Gram Schmidt Spectral Sharpening which is one of the most advanced pan sharpening algorithm to date and making them equal with ERDAS (Ehlers/wavelet fusion) and PCI (UNB Fusion) as the most advanced Pan Sharpening Software. Now they are adding NNDiffuse which is the latest algorithm developed by Weihua Sun et al, NNDiffuse utilizing regression approach combined with spatial frequency extraction to generate pan sharpened dataset which not only maintain t

Another platform to download Landsat-8 Data No login and registration needs, more intuitive than Glovis/EarthExplorer