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How to generate Service Area Polygon / Isochrones from network data such as streets and canals/rivers in QGIS. Use Cartesian/Projected Coordinate System for the best result!. Projected CRS will also make the band/treshold setting is easier because we are using familiar map unit such as meters or feet instead of angles.  Service area can be generated based on length, speed, or time travel. 

This article delves into the realm of cartogram generation within ArcGIS, a leading Geographic Information System (GIS) platform. We explore the intricacies of cartogram creation using ArcGIS, focusing on the underlying techniques, real-world applications, and best practices for effective visualization. From understanding the tools available in ArcGIS to addressing specific challenges unique to this environment, this comprehensive guide serves as a practical resource for GIS professionals and enthusiasts. Introduction: ArcGIS, developed by Esri, is a widely used GIS software that provides robust tools for spatial analysis and visualization. Within the expansive suite of capabilities that ArcGIS offers, cartogram generation stands out as a powerful method for distorting geographic features based on variable data. This article navigates through the specific functionalities, workflows, and considerations involved in creating cartograms within the ArcGIS environment. Understanding Cartogra...

Embark on an exciting journey as we reveal the wizardry behind transforming your QGIS projects into captivating web maps. In just a few clicks, you can breathe life into your static visualizations, creating an interactive online experience that's both powerful and effortless. Don't miss out on this game-changing tutorial – the link to the video awaits you at the end of this blog post! Discover the incredible capabilities of the OpenGIS Plugin as it effortlessly bridges the gap between your QGIS desktop and the online realm. From intricate heatmaps to sophisticated choropleths, every nuance of your original visualizations is preserved. This is your chance to elevate your maps to new heights, making them not just informative but engaging. Click the video link to witness the transformation firsthand. Flexibility meets convenience with the OpenGIS Plugin. Once your web map masterpiece is ready, the choice of deployment is yours. Whether it's the familiar GitHub or other hosting...

How to generate flat terrain and no topographic undulation in Satellite Imagery. Topographic correction is very helpful for Landcover/landuse classification in steep, hilly or mountainous terrain. Topographic correction guarantee more spectral consistent values for similar landcover in the sun side slopes and shadowed slopes. In the end, more accurate landcover classification can be obtained.

How to convert QGIS Maps to Adobe Illustrator and Adobe Photoshop for futher advanced map design, geovisualization, and advanced cartography.

How to convert Geospatial Vector Data such as Shapefile / SHP to Text based Well Known Format (WKT) used in Database Management System (DBMS) and vice versa. This workflow applied not only to shapefile format, but also other geospatial vector data format as long as the format is write-supported by QGIS.

Soil moisture plays an important role in agricultural monitoring, drought and flood prediction, forest fire prediction, water supply management, and other natural resource-related activities. Soil moisture observations can warn of imminent drought and flood conditions before other  standard indicators are triggered.   As defined in AMS Glossary of Meteorology, soil moisture is "the total amount of  water vapor-containing water in  unsaturated soil." Soil moisture (sometimes called soil water) refers to surface water  in the pores of the soil, not rivers, lakes, or groundwater. Soil moisture levels are determined by a variety of factors other than weather conditions, such as soil type and associated vegetation. Second, soil moisture affects the various dynamics of soil and plants. Surface soil moisture is  water located 10 cm above the soil, and root zone soil moisture is  water  available to plants-generally considered to be located 200 cm ab...

ALOS-1 (also known as Daichi) was launched on January 24, 2006 and completed its operational phase on  May 12, 2011, after a successful five-year acquisition worldwide. ALOS was one of the world's largest earth observation satellites tasked with collecting high-resolution land observation data on a global scale. The satellite consists of three instruments: an altitude visible and near infrared radiation meter (AVNIR-2) for accurate observation of land cover, and an L-band synthetic aperture radar (PALSAR) phased array type for day and night and all weather conditions. Was installed. Panchromatic remote sensing device (PRISM) for stereo mapping.   The purpose of its mission was to provide the user community with enough data to create a map at a scale of 1: 25,000. Development of digital elevation models and related geographic data products. Conduct community observations to support the Sustainable Development Goals. Natural resource research; development of sensor and sate...

Density analysis captures known quantities of phenomena and distributes them throughout the landscape based on the spatial relationship between the measured quantity  at each location and the location of the measured quantity.  Density analysis captures known quantities of phenomena and distributes them throughout the landscape based on the spatial relationship between the measured quantity  at each location and the location of the measured quantity. The    Density tool spreads a measured amount of  input point layers over the landscape to create a continuous surface. As an example  of a   density analysis application, consider a retail  chain with multiple stores in a particular area. For each store, management has sales from customers. Management believes that customers choose one store over another based on distance traveled. In this example, it is natural to assume that each customer  always chooses the nearest store. The farthe...

How to install QGIS 3.x on Mac Book Air or Mac Book Pro, along with latest Mac OS version (Version 12.1 Monterey when this video is created).

Akhirnya Datum SRGI 2013 (Sistem Referensi Geospasial Indonesia) terimplementasi di ArcGIS Pro dan QGIS. Informasi proyeksinya dalam format PRJ juga dapat di-import di ArcGIS Desktop. SRGI 2013 di ArcGIS dan QGIS terimplementasi sebagai proyeksi geosentris dan proyeksi UTM dengan Zona mengikuti Zona UTM pada umumnya. Adanya parameter SRGI 2013 di software GIS terkemuka memungkinkan untuk transformasi koordinat pada level data dapat lebih mudah dilakukan di dalam lingkungan software GIS. 

As promised from my previous post, I have started to make series of video demonstration about how to extend Enterprise Geodatabase functionalities with PostGIS features inside PostgreSQL Database Management System. The first video below will show you about the PostgreSQL, PostGIS and Enterprise Geodatabase installation and initial configuration under Windows OS. I dont test it on Linux yet but I think it would be pretty much same. If you readers already familiar about PostgreSQL, PostGIS and Enterprise Geodatabase installation, guess you can skip this post and wait for my next post.  You can test the workflow from your local computer or remote online server, I have done both, so far there are no problem arised, but if you want to implement multi client editing (for example using ArcGIS and QGIS at same time) I suggest you to be careful because I found an ObjectID increment functions on both software are conflicting, but it is only happen if two or more clients perform commit data o...

 After few days crawling the GIS Stackexchange and many hours of reading ESRI ArcGIS Help Documents, finally I can manage to integrate ArcSDE Enterprise Geodatabase and PostGIS to be working together on a single PostgreSQL database. This configuration will enables you to use most of the cool features of Enterprise Geodatabase as well as PostGIS. For example, I can do Multiuser Editing Sessions using ArcGIS and QGIS at same time, I can enable Editor Tracking feature from Enterprise Geodatabase, perform versioning or archiving, but I also can connect my geospatial data to BI software like Tableau in Live Settings (not extracted). The latter is very important for me because up until this article writing, Tableau has not supported Enterprise Geodatabase Connection thru database connection. They only provide it thru API Services Connection (OGC WFS or ArcGIS Map Services).  Here are the steps that I compiled after many hours of trial and errors 1. copy st_geometry from.dll C:\Progr...

Many database engineers looking for workflow to reduce their job loads when it must dealing with database administrative tasks like backup, restore, delete, clone or renaming database. Spatial Database administrative tasks is no exception. Up until today, I still looking for a way to make my routine database administration more easier. For Enterprise Geodatabase, ArcGIS Desktop and ArcGIS pro have provided dozens of tools to do those administrative tasks inside the desktop software, so I dont have to leave the GIS software just for doing some database administrative tasks.  But similar condition is not seamlessly found in QGIS and PostGIS as its "native" DBMS. But finally today, with the release of a cool new plugin by Leandro Franca called LF Tools, I found that features like in ArcGIS can also be done in QGIS. Now my database administration routines can be done inside QGIS, I dont have to go to PgAdmin4 if I want to do certain database administration stuffs. I can do that i...

Area and length measurement is very basic task in GIS. Almost every GIS software can do that. Things become harder if we want to calculate polygon volume in GIS. until few years ago, there is no simple and direct way to calculate polygon volume in GIS. Some GIS and Remote sensing software provide built in tool to do that, but these software usually have certain data format that is not easily converted into standard GIS format. Today the game has changed. Some developer has built a simple and intuitive plugin to calculate polygon volume using DEM as reference, and the most awesome aspect is, they made it in Quantum GIS / QGIS environment. This is a life saver because QGIS is a free software!. And here is my experience when I try those new developed plugin to calculate polygon volume in QGIS. ArcGIS doesnt have this luxury.  

Working in GIS using free software like QGIS is a something, but integrate it with the most popular data science language is something else. Almost all of Remote Sensing and GIS software have implemented Python integration these days, but sometimes those features hidden in the user interface. If you are familiar with python, you must be know that python has something GIS software cant provide. And this state we have an urge to why not use both of them?, here is how to install thid party python libraries to QGIS which is sometimes not all of available python libraries already installed in default QGIS python configuration. 

Environmental issues hugely depends on geospatial data to help get things fixed. Geospatial data can helps in so many ways in every phases of solution formulation related to environmental and disaster issues. A lot of country have launched thousands of satellite platform to helps monitor environment condition on the earth surface. Daily data about various issues are common today. There are many of them so unique, sophisticated, and very useful to support complex analysis to overcome all those environmental and disaster management issues.  One of cool data that recently I found is daily forecast or actual information of fire Hot Spot derived from satellite imagery analysis (MODIS and VIIRS). These data can be accessed freely and easily from free-to-use Open Source GIS package Quantum GIS. By integration with QGIS, you are possible to directly made a forest fire hazard map in daily basis, and advocate the map to the related stakeholders. This is very cool because this is enabling tim...

ArcGIS and QGIS are two giants of GIS Software in the modern era. Both of them are used by most of GIS experts around the world. They come with similar features but still there are some distinction about their capabilities. Take the Geospatial data format as the reference, ArcGIS has its own native geospatial data format called file geodatabase. File geodatabase is such a complete format that it is not only capable to store vector data, but it also can store raster data, topology, relationship table, geoprocessing tools, domain reference, custom coordinate system, you name it.  And now about QGIS, it is still a young player in GIS although it is been developed by Open Source Communities for more than 20 years. QGIS born as lightweight GIS software with very limited capabilities, but few years later, it is growth into a giant with a wide range capabilities to tackle complex GIS processing ranging from spatial analysis, database management, to raster simulation. Even there are some f...

Needs for High Resolution Imagery is important for many GIS analyst. Sometimes those imagery are coming with not so cheap price. Not many people can have access to those data. But with the recent development of Online Mapping Platform, there are many online map providers gave API services for free to access global level of satellite imagery with no cost, for example Google Earth Pro, Bing, ArcGIS Online, HERE Maps, and many others.  The video below show you a way to get those online high resolution satellite imagery through QGIS Software (that you can also get for free because it is open sourced). Those online basemap and high resolution imagery can be downloaded using QGIS, what you needs to have is just quite fast internet connection.  I am not guarantee that the method shown on the video will always working with QGIS no matter the version, but if you are find some problems with the latest QGIS version, you can always rollback to older version to make this works. Well actual...

SRTM DEM is one of the most popular and most widely used Digital Elevation Model (DEM) data at the global level. The DEM itself actually is quite old because it is coming from SAR Survey using Space Shuttle in the year 2000. SRTM DEM generated from interferometric processing of two SAR antennas mounted on the space shuttle and using two bands configuration, one using X-band and the other is using C-band. X-band SAR of SRTM is considered experimental so it is doesn't have full coverage like its counterpart C-band SAR. Because it is coming from SAR interferometry, the resulted DEM is still considered as DSM (Digital Surface Model) and not be treated as DTM (Digital Terrain Model). Although conversion to DTM is somewhat possible (I also have made a tutorial about how to do it in another post), the result is can't be standardized due to its medium resolution. But because there is no on-par DEM data on a global scale at medium resolution like SRTM DEM, the data is still found popula...