[GRASS-user] Unable to perform resampling

[BHARATH RAM]

Hello everyone,

    I am interested in performing resampling of a fine resolution DEM Model
(which is imported as a GTiff file in grass GIS). I tried the following 2
approaches and neither of them was successful. Can you help me figure out
where I went wrong? Thanks in Advance.

*Details about originally imported DEM model:*
*projection: 3 (Latitude-Longitude)*











*zone:       0datum:      wgs84ellipsoid:  wgs84north:      29Nsouth:
 28:06Nwest:       72Eeast:       77:24Ensres:      0:00:01.08ewres:
 0:00:01.08rows:       3000cols:       18000cells:      54000000*

*MY AIM:* To convert a fine grid DEM (30 m resolution) to coarse grid DEM
(8km)

*APPROACH 1: Using r.resample.rst*

*g.region raster=test5_r1*

*r.resamp.rst input=test5_r1 ew_res=8000 ns_res=8000   *
  In this second command's execution, I get error (log attached below):
*                Processing all selected output files will require **4
bytes of disk space for temp files.*



*                Temporarily changing the region to desired resolution ...
              Changing back to the original region ...
Percent complete:                ERROR: Unable to seek: Invalid argument*

*APPROACH 2: Using r.resample.stats*
*g.region raster=test5_r1*
*g.region nsres=8000 ewres=8000 *// problematic part
*r.resamp.stats -w input=test5_r1 output=test5_r1_8km*
   In this second command's execution the entire map seems to get clubbed
into a single large pixel. I have attached results of *g.region -ap* below:
*                projection: 3 (Latitude-Longitude)*











*                 zone:       0                 datum:      wgs84
      ellipsoid:  wgs84                 north:      29N
south:      28:06N                 west:       72E                 east:
    77:24E                 nsres:      0:54                 ewres:
 5:24                 rows:       1                 cols:       1
      cells:      1*


Also, can you tell me which method will be more suitable for my final goal?

Thanks & Regards,
Bharath

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