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Mengidentifikasi Tahun Penerbitan dan Tahun Pembuatan Peta Rupabumi Indonesia (RBI) sangat mudah kalau kita punya peta cetaknya. Ya jelas, karena informasi tersebut tercantum di informasi tepi petanya. Dengan mengetahui tahun penerbitan dan pembuatan Peta RBI, kita jadi dapat mengetahui kapan Peta RBI terakhir di-update atau diperbaharui. Terlebih Peta RBI telah ditetapkan menjadi Informasi Geospasial Dasar (IGD) berdasarkan Undang - Undang Nomor 4 Tahun 2011 Tentang Informasi Geospasial, sehingga Peta RBI menjadi acuan dan peta dasar dalam pembuatan peta tematik.  Peta RBI sendiri selain diterbitkan dan dipublikasikan dalam bentuk Peta Cetak (format digital JPEG-nya saat ini juga telah tersedia di Portal Tanah Air Indonesia), juga dipublikasikan sebagai data spasial vektor yang dapat diunduh di dalam Portal Tanah Air Indonesia. Melalui publikasi dalam bentuk data spasial ini, Peta RBI dapat lebih mudah digunakan sebagai peta dasar atau IGD untuk mendukung penyusunan peta tematik t...

Deep learning as one of the branch of machine learning has become trend in latest development of geospatial technology. Using Deep Learning, sophisticated image classification that resulting classification result in polygon format has made possible. Deep learning also open for semantic object detection like detection of feature that has unique characteristics in imagery like pools, bridge, wells and many others. Imagery utilization became boundless if we incorporate Deep Learning into geospatial analysis. ArcGIS Pro as the latest ESRI invention to deal with mainstream GIS business also implement Deep Learning support. With its native integration with Python and Anaconda Framework, Deep Learning made possible in ArcGIS Pro. Many Deep Learning Algorithms has been supported in ArcGIS Pro, ranging from Microsoft CNTK, KERAS, Tensorflow, PyTorch and many others.  Although available natively in ArcGIS Pro, initially ArcGIS Pro is only support classification and segmentation based on pret...

This video tutorial below may be wont interesting for some people, but I made this tutorial with a single goal, helping people that still learning GIS and have a requirement to use GIS data to be analyzed in Google Maps or Google Earth. KML/KMZ is a native format for Google Mapping Products. It can store vector as vector or vector as raster or raster as raster. It is very convenient, although it usage in context of pure geospatial data format is limited.  There are some strategic aspect about KML/KMZ usage. The most important things is you can host your geospatial data for free in Google MyMaps. You can made simple webmap that has basic webgis functionalities, powered by complete and strong basemap and online imagery basemap, and you can do multiuser editing. KML/KMZ data supporting multiuser although it is a file based data. So if you are interested to use this format, and your data is still on shapefile or geodatabase format, ArcGIS has the tool to convert it to KML/KMZ, and vide...