ALOS 3DI was downloading this tile from an easy to use tile-map. As you can see the ALOS 3D 30m model does not cover the whole world ATM but they will provide more and more tiles in the future for free. The data itself is based on images taken by the Advanced Land Observing Satellite “DAICHI” (ALOS). The satellite had a PALSAR (Phased Array type L-band Synthetic Aperture Radar) and a Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) on board. The latter one was used for the DEM creation. Therefore you will find a lot of areas with striping in the above coverage. The main reason is probably cloud coverage. The raw data was used to create a stunning 5m DEM but was downsampled to a 30m DEM which is available for free (no specific license is mentioned on the website).
Comparing ALOS 3d 30m with SRTM 1: the dataAs we already compared ASTER data with SRTM data I am curios about the performance of this DSM created using stereo images as it seems comparable with the ASTER approach: Taking images from two different angles and combining them to create a 3D representation. But correct me, if I am totally wrong. So lets get back to the data: I am using the path 134 / row 27 and the SRTM 1 dataset downloaded from the EarthExplorer webpage (registration needed!). additionally I am downloading a comparable scene from the ALOS webpage. The download consists of the average and median DSM and also a raster which describes the numbers of scenes used for a stripe. The mean value of stripes was 6.9 for the whole dataset. And by the first look after reprojecting them to EPSG:32648 I was quite surprised: the was nearly no visual difference between both datasets:
Both datasets show comparable mean values which
Comparing ALOS 3d 30m with SRTM 1: the derivativesFirst check the zonal statistics:
Okay, so lets check my lovely fan which was build up by the Orkhon river: And as suspected the height and slope values a quite comparable as well. Unfortunately the height profile below has the x-axis drawn with a log-scale. Both datasets perform quite good and are probably useable in a manifold of applications looking at the above results.
Comparing ALOS 3d 30m with SRTM 1: any disadvantages?But let’s be honest: the fan was covered by a maximum amount of stripes (prob. high cloud coverages in a lot of scenes). So let’s check in areas with a low number of stripes: But once again the ALOS dataset did quite well: The main difference can be found at 5.1km profile length where we can find a spike in slope values for the ALOS dataset.
Now let’s check the slope at a wider scope. The SRTM data show some unsteady slope values in the flat areas which reminds me of some noise. The same is not visible for the ALOS dataset: As I know the landscape quite good I personally think the ALOS dataset is representing the current landscape much better than the SRTM dataset. But: the ALOS is a DSM and therefore maybe not usable in areas with undeniable vegetation coverage due to forests.
How about you? Have you worked already with this interesting dataset? What is your conclusion?
Personally I am looking forward the global release of this interesting and quite accurate ALOS 3D 30m dataset!