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Vegetation cover data is one of the most important biophysical parameters that can be effectively and efficiently extracted from Remote Sensing Satellite Imagery. A wide range of vegetation cover extraction methods have been developed since years ago, ranging from indirect regression using NDVI data and field measurements, greenness index conversion, and many others. These methods can give vegetation cover information in raster format that can be used for many kinds of applications. For example, you can incorporate vegetation cover data as additional input for biomass estimation, soil erosion modeling, vegetation cover multitemporal analysis, et cetera.  Vegetation cover is best estimated using low to medium-resolution satellite imagery. On this one, these days we have so many options of satellite images, and most importantly, they are mostly free to use and free to download. LANDSAT, ALOS AVNIR, SPOT 5/6/7, SENTINEL-2, MODIS, ASTER just name a few of them. Specifically for LANDSAT...

ArcGIS has tons of features, not only about its GIS capabilities, but also other useful tools for many purposes. Some of the tools are usually hidden by default for the GUI simplicity, but once we know how to activate and use those tools, you will be surprised how handy these tools are.  for example, I am sure not everyone knows that ArcGIS has an internal color picker tool called eyedropper tool that can be very useful for Cartographic Production. All the cartographers going to needs this tool because it will enable color peeking of finished maps or cartographic products either in vector or raster formats supported in ArcGIS. For example, if you are interested in the online base map color composition currently loaded in the Map View, you can extract the RGB color information using this tool, and re-apply the color into your own map using the symbology tab.  So, if you are interested in how to get the tool, I have made a super short video showcase (one-minute duration) below....

Database View is one cool things about database management in DBMS. Using database view, you can deliver so many options of data publishing without messing up your database and messing up your tables structure. Database View is a common features that almost every database platform could have that features, includes here is spatial database (PostGIS, Oracle Spatial, or Enterprise Geodatabase).  If we talks about database view in Enterprise Geodatabase, it has all the features of enterprise geodatabase feature class. Database view in Enterprise Geodatabase is also directly linked with its parent tables. So any modification or updating in parent tables will also reflected in the database view. The database view itself is read only and only support reading/view.  Database View as I already told actually is one of the DBMS features regardless what kind of DBMS are used. If we see it in Enterprise Geodatabase Point of View, Database View when it is just created or imported, is not c...

 Seiring dengan semakin populernya penggunaan data spasial di berbagai institusi, baik pemerintah maupun swasta di Indonesia, banyak lembaga pemerintah telah mengembangkan Geoportal sebagai sarana berbagi pakai data geospasial resmi pemerintah. Berbagai macam peta dasar dan peta tematik dengan berbagai format telah dipublikasikan secara resmi oleh geoportal yang dikelola masing - masing instansi.  Berikut ini adalah daftar alamat web geoportal milik instansi pemerintah indonesia, baik kementerian, badan, lembaga, maupun pemerintah daerah yang telah dibangun dan diresmikan. Daftar ini akan diperbarui sewaktu - waktu apabila tercatat ada lembaga pemerintah yang telah membangun dan menerbitkan geoportal sebagai salah satu sarana berbagi pakai data dan informasi geospasial.  Kementerian / Lembaga / Pemerintah Daerah Pengelola Alamat URL Portal INA SDI ">https://tanahair.indonesia.go.id/portal-web/# Kementerian Kelautan dan Perikanan ">http://satupeta.kkp.go.id/ ...

This post straight continuation from my previous post about Integration of Enterprise Geodatabase and PostGIS inside PostgreSQL Environment. The video tutorial can be viewed at the end of this post. In the video I demonstrate about how to configure PostGIS extension inside PostgreSQL enterprise geodatabase. The steps are little bit tricky so if you are not familiar with Enterprise Geodatabase and PostGIS, I suggest you to watch the Part 1 of the series. The configuration steps I show on the video must be done one by one following the order like I demonstrate on the video. On step missed will result in Geodatabase in not usable and PostGIS wont works like how it should.  I dont test these steps on other OS like Linux, but I guess it wont be much different. And please remember that you must see this trick as experimental because personally I also didnt evaluate its performance in actual production environment. 

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...

 Mungkin akan ada yang membutuhkan. Berikut ini daftar Kode BPS untuk provinsi di Indonesia. Aceh - Kode BPS: 11 Sumatera Utara - Kode BPS: 12 Sumatera Barat - Kode BPS: 13 Riau - Kode BPS: 14 Jambi - Kode BPS: 15 Sumatera Selatan - Kode BPS: 16 Bengkulu - Kode BPS: 17 Lampung - Kode BPS: 18 Kepulauan Bangka Belitung - Kode BPS: 19 Kepulauan Riau - Kode BPS: 21 Jakarta - Kode BPS: 31 Yogyakarta (DIY) - Kode BPS: 34 Jawa Barat - Kode BPS: 32 Jawa Tengah - Kode BPS: 33 Jawa Timur - Kode BPS: 35 Banten - Kode BPS: 36 Bali - Kode BPS: 51 Nusa Tenggara Timur - Kode BPS: 53  Nusa Tenggara Barat - Kode BPS: 52 Kalimantan Barat - Kode BPS: 61 Kalimantan Tengah - Kode BPS: 62 Kalimantan Selatan - Kode BPS: 63 Kalimantan Timur - Kode BPS: 64 Kalimantan Utara - Kode BPS: - Sulawesi Utara - Kode BPS: 71 Sulawesi Tengah - Kode BPS: 72 Sulawesi Selatan - Kode BPS: 73 Sulawesi Tenggara - Kode BPS: 74 Sulawesi Barat - Kode BPS: 76 Gorontalo - Kode BPS: 75 Maluku - Kode BPS: 81 Maluku Utara - ...