Posts

Showing posts from July, 2021

3D Realistic Visualization of Water Body Features in ArcGIS Pro

Image
How to visualize water-body features to be close-to-reality (water body has reflections and animated ripples) in 3D view. This technique would be very useful for 3D GIS visualization and digital twin creation. 

Cara Menggunakan SRGI 2013 di ArcGIS Pro, QGIS dan ArcGIS Desktop (Sistem Referensi Geospasial Indonesia) 2013

Image
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. 

Tree and Vegetation Realistic 3D Visualization in ArcGIS Pro

Image
How to realistically visualize Tree and Vegetation in 3D Mode using ArcGIS Pro. You can use point data mode or polygon data mode for this kind of visualization.  Collection of ESRI pre-made Rule Package file (RPK) for your 3D Modeling: https://www.arcgis.com/home/search.html?q=RPK

Generate 3D Texturization And Realistic Visualization Of OpenStreet Map Building Data In ArcGIS Pro

Image
How to generate 3D texturization and realistic visualization in ArcGIS Pro using Open Street Map Building Data. Stay tuned for more tips and tricks about how to display geospatial data in 3D realistic mode, to reach the geospatial digital twin.

RADAR SAR IMAGERY MULTITEMPORAL RGB COLOR COMPOSITES GENERATION IN ESA SNAP

Image
How to generate RGB composites of Multi-temporal SAR Radar Imagery in ESA SNAP. Multi-temporal SAR Imagery is very useful to monitor the landuse and landcover dynamic over time. This data could also be useful for Image Classification or Image Segmentation from SAR Data. RGB composites of SAR data are not the same as RGB composites of Optical Imagery Data. The color information of SAR Color composite doesn't represent the electromagnetic response of land cover. It is more represents the gradual changes of radar backscatter response at different times.

RADAR SAR IMAGERY MULTI-TEMPORAL COMPOSITING IN ESA SNAP (SPECKLE AND NOISE REMOVAL)

Image
SAR imagery is distorted geometrically and radiometrically In mountainous and hilly areas,. With Geometric Terrain Correction and Terrain Flattening applications, both the geometric and radiometric terrain effects can be removed from the backscatters, leaving noise being the only factor affecting the land cover classification accuracy. A multi-temporal compositing technique in ESA-SNAP can be applied in this case to reduce the noise level. Also, spatially varying local resolution effects can be compensated if images of both ascending and descending views are combined (not performed in this video but you can try it by yourself). The technique described in this video generates a composite SAR image from a stack of terrain-flattened and geometrically terrain corrected images together with their simulated local illuminated areas.