Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-27 Thread Glynn Clements

Rich Shepard wrote:

  It's possible that the cropping may have changed the grid slightly.
 
 Glynn,
 
I do hope it's something simple. I can't do more until I have a good DEM
 map for the project area.
 
  What are the grid parameters (bounds, resolution, rows/cols) for the
  source map and the cropped version?
 
 Source map (demNW raster map):

 nsres:  32.82281055
 ewres:  32.82281055

Resolution in feet.
 
 Cropped map (abernethy vector boundary map):

 nsres:  4.99982001
 ewres:  4.99979979

Resolution in metres.

32.82281055 international feet is 10.00439265564 metres.

32.82281055 US survey feet is 10.00441266446533 metres.

-- 
Glynn Clements gl...@gclements.plus.com
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-27 Thread Markus Metz


Glynn Clements wrote:

Rich Shepard wrote:

  

Source map (demNW raster map):



  

nsres:  32.82281055
ewres:  32.82281055



  

   Resolution in feet.

Cropped map (abernethy vector boundary map):



  

nsres:  4.99982001
ewres:  4.99979979



  

   Resolution in metres.



32.82281055 international feet is 10.00439265564 metres.

32.82281055 US survey feet is 10.00441266446533 metres.
  
I don't think it is possible to have different units within the same 
location because units are set globally in PERMANENT/PROJ_UNITS. Is it?


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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-27 Thread Glynn Clements

Markus Metz wrote:

 I don't think it is possible to have different units within the same 
 location because units are set globally in PERMANENT/PROJ_UNITS. Is it?

Correct.

Apparently the issue has been reolved. Which is fortunate; as the
previous post doesn't actually make much sense.

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[GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Rich Shepard

  I believe that I asked about this before but I don't have the thread
saved, and I don't know where the mail list is archived.

  I have a 10m DEM and tried running r.slope.aspect on it. The output files
(one each for slope and aspect) look like static divided into square cells.
The same problem occurs when I refine the resolution to 1m. I believe that
Markus N. wrote a comment about this but I don't have that message.

  What do I read to learn what the input raster map needs to provide
r.slope.aspect so that the outputs are appropriate?

Thanks,

Rich
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Rich Shepard

On Tue, 26 Jan 2010, Rich Shepard wrote:


 I have a 10m DEM and tried running r.slope.aspect on it. The output files
(one each for slope and aspect) look like static divided into square cells.
The same problem occurs when I refine the resolution to 1m. I believe that
Markus N. wrote a comment about this but I don't have that message.


  When I run nviz on the same raster map I also get screwey results. I've no
idea what's going on. Here's the results of r.info on that map:

Layer:aberDEMDate: Tue Dec 29 14:05:59 2009
Mapset:   beaver_lakeLogin of Creator: rshepard
Location: Oregon
DataBase: /usr4/grassbase/. 
Title:Northwest Oregon 10m DEM ( dem )

Timestamp: none


Type of Map:  raster   Number of Categories: 5729
Data Type:CELL
Rows: 7372
Columns:  14816
Total Cells:  109223552
Projection: Lambert Conformal Conic
N: 1334419.15160578S: 1279151.24118496   Res: 7.49700358
E: 819255.9236W: 769192.92822895   Res: 3.37898187
Range of data:min = 7  max = 1476

Data Description:
generated by r.in.gdal

Comments:

r.in.gdal input=/usr4/dem10m-or/hdr.adf output=dem title=Northwest Oregon 10m 
DEM

Rich
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Glynn Clements

Rich Shepard wrote:

I believe that I asked about this before but I don't have the thread
 saved, and I don't know where the mail list is archived.
 
I have a 10m DEM and tried running r.slope.aspect on it. The output files
 (one each for slope and aspect) look like static divided into square cells.
 The same problem occurs when I refine the resolution to 1m. I believe that
 Markus N. wrote a comment about this but I don't have that message.
 
What do I read to learn what the input raster map needs to provide
 r.slope.aspect so that the outputs are appropriate?

First, the current region's grid should at least match that of the
input map, and ideally of the original data.

If the data has been resampled (including projection with r.proj),
this may produce artifacts, particularly if it used method=nearest
(which is the default).

But before you try redoing the projection step, you might want to try
running r.slope.aspect on the source data (which may itself be the
result of resampling). If you get similar results, you really need
better source data.

Essentially, slope calculations can be quite sensitive to resampling
artifacts. 

Re-projection from lat/lon with equal latitude and longitude
resolutions is problematic as (unless you're close to the equator) a
degree of longitude represents a smaller distance than a degree of
latitude.

Additionally, most of the processes for acquiring geographic data tend
not to produce values on a regular lat/lon grid, so if your data is on
such a grid, it's quite likely to have been resampled already.

Things which may help:

1. Better (i.e. uncooked) source data. Reprojecting from the
original grid to the desired target grid in one step is better than
reprojecting to lat/lon then again to the target grid.

2. Upsampling the source data with e.g. r.resamp.interp.

3. Filtering the source data with e.g. r.neighbors or r.mfilter.fp.

4. Re-projecting using method=cubic rather than method=nearest.

5. Filtering the projected data with e.g. r.neighbors or r.mfilter.fp.

You wouldn't want to use *all* of these. #1 is nice if you can get it
(and can use it; you need to know the source projection), #4 is safe
(it may not be perfect, but it shouldn't be worse than the other
options), but the others could make matters worse if you don't know
what you're doing.

In the worst case, #5 can be used to get rid of the noise at the
expense of resolution (i.e. you'll end up with slope values which
represent an average over a large area).

-- 
Glynn Clements gl...@gclements.plus.com
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Rich Shepard

On Tue, 26 Jan 2010, Glynn Clements wrote:


First, the current region's grid should at least match that of the
input map, and ideally of the original data.


Glynn,

  The number of rows and columns has been changed but not the resolution. At
least, not deliberately.


If the data has been resampled (including projection with r.proj), this
may produce artifacts, particularly if it used method=nearest (which is
the default).


  Nope. Source metadata:

Map_Projection:
Map_Projection_Name: Lambert Conformal Conic
Lambert_Conformal_Conic:
  Standard_P arallel: 43.00
  Standard_P arallel: 45.50
  Longitude_of_Central_Meridian: -120.50
  Latitude_of_Projection_O rigin: 41.75
  False_Easting: 1312336.00
  False_Northing: 0.00
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
  Abscissa_Resolution: 32.828670
  Ordinate_Resolution: 32.828670
Planar_Distance_Units: User_Defined_Unit
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.00
Denominator_of_Flattening_Ratio: 298.257222

  No reprojection necessary.


Essentially, slope calculations can be quite sensitive to resampling
artifacts.


  So I understand.


1. Better (i.e. uncooked) source data. Reprojecting from the
original grid to the desired target grid in one step is better than
reprojecting to lat/lon then again to the target grid.


  The source originally-imported DEM produces appropriate slope and aspect
maps. The sub-region I cut out with v.in.region (I believe that's the module
I used) doesn't calculate properly. Therefore, the problem is with the
sub-map.


2. Upsampling the source data with e.g. r.resamp.interp.


  I'll try this on the sub-map.


3. Filtering the source data with e.g. r.neighbors or r.mfilter.fp.


  Source data are OK.


4. Re-projecting using method=cubic rather than method=nearest.


  Data came as LCC; no reprojecting needed.


You wouldn't want to use *all* of these. #1 is nice if you can get it
(and can use it; you need to know the source projection),


  See above.

Rich
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Rich Shepard

On Tue, 26 Jan 2010, Glynn Clements wrote:


2. Upsampling the source data with e.g. r.resamp.interp.


Glynn,

  When would one use r.resamp.interp and when r.resamp.rst? The latter
incorporates functions of r.slope.aspect with the resampling/resolution
change, but what decision criteria guide which module to use?

Thanks,

Rich
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Glynn Clements

Rich Shepard wrote:

The source originally-imported DEM produces appropriate slope and aspect
 maps. The sub-region I cut out with v.in.region (I believe that's the module
 I used) doesn't calculate properly. Therefore, the problem is with the
 sub-map.

It's possible that the cropping may have changed the grid slightly.

What are the grid parameters (bounds, resolution, rows/cols) for the
source map and the cropped version?

You could try repeating the cropping process, using g.region's align=
option to align the grid to the source map.

-- 
Glynn Clements gl...@gclements.plus.com
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Hamish
Rich wrote:
 Source metadata:
 
 Map_Projection:
 Map_Projection_Name: Lambert Conformal Conic
 Lambert_Conformal_Conic:
   Standard_Parallel: 43.00
   Standard_Parallel: 45.50
  
 Longitude_of_Central_Meridian: -120.50
 Latitude_of_Projection_Origin: 41.75
 False_Easting: 1312336.00
 False_Northing: 0.00
 Planar_Coordinate_Information:

 Planar_Coordinate_Encoding_Method: row and column
 Coordinate_Representation:
  
 Abscissa_Resolution: 32.828670
 Ordinate_Resolution: 32.828670
 Planar_Distance_Units:
 User_Defined_Unit
 Geodetic_Model:
 Horizontal_Datum_Name: North American Datum of 1983
 Ellipsoid_Name: Geodetic Reference System 80
 Semi-major_Axis: 6378137.00
 Denominator_of_Flattening_Ratio: 298.257222

   The source originally-imported DEM produces appropriate slope and
 aspect maps. The sub-region I cut out with v.in.region (I believe
 that's the module I used) doesn't calculate properly. Therefore, the
 problem is with the sub-map.


after you do the zoom run:
  g.region -p
and see if the resolution has been modified (bounds take precedence by
default). You can use the -a flag to make the resolution have precedence
at the expense of maintaining the exact bounds:
  g.region -a res=

with whatever the original map resolution was.

* take care if the original map's bounds are not exactly divisible by
the resolution. (e.g. n=125 s=75 res=50 rows=1)   then -a does not work
as you might expect.


Hamish



  
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Rich Shepard

On Tue, 26 Jan 2010, Glynn Clements wrote:


It's possible that the cropping may have changed the grid slightly.


Glynn,

  I do hope it's something simple. I can't do more until I have a good DEM
map for the project area.


What are the grid parameters (bounds, resolution, rows/cols) for the
source map and the cropped version?


Source map (demNW raster map):

GRASS 6.4.0svn (Oregon):/usr4/grassbase  g.region rast=demNW -p
projection: 99 (Lambert Conformal Conic)
zone:   0
datum:  nad83
ellipsoid:  grs80
north:  1735231.43724681
south:  1120657.1324816
west:   143667.18968253
east:   952979.22944945
nsres:  32.82281055
ewres:  32.82281055
rows:   18724
cols:   24657
cells:  461677668

  Resolution in feet.

Cropped map (abernethy vector boundary map):

GRASS 6.4.0svn (Oregon):/usr4/grassbase  g.region vect=abernethy -p
projection: 99 (Lambert Conformal Conic)
zone:   0
datum:  nad83
ellipsoid:  grs80
north:  1334419.25160578
south:  1279151.24118496
west:   769192.9282895
east:   819255.9236
nsres:  4.99982001
ewres:  4.99979979
rows:   11054
cols:   10013
cells:  110683702

  Resolution in metres.


You could try repeating the cropping process, using g.region's align=
option to align the grid to the source map.


  I'll try this.

Thanks,

Rich
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Rich Shepard

On Tue, 26 Jan 2010, Glynn Clements wrote:


You could try repeating the cropping process, using g.region's align=
option to align the grid to the source map.


  Now I cannot find my notes on how I cropped the larger DEM to the boundary
of the project area. I know that v.overlay works on two vector maps but ...
I've dropped the ball on that operation.

Rich

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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Rich Shepard

On Tue, 26 Jan 2010, Rich Shepard wrote:


 Now I cannot find my notes on how I cropped the larger DEM to the
boundary of the project area. I know that v.overlay works on two vector
maps but ... I've dropped the ball on that operation.


  Found it!

  r.mapcalc newmap=oldmap

Rich
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Re: [GRASS-user] r.slope.aspect: Unexpected Results

2010-01-26 Thread Rich Shepard

On Tue, 26 Jan 2010, Glynn Clements wrote:


You could try repeating the cropping process, using g.region's align=
option to align the grid to the source map.


Glynn,

  FIXED the problem.

  I re-ran 'r.mapcalc aberDEM=demNW' and it cleaned up all the problems.
r.slope.aspect produces output maps as it should. No more static in
vertical/horizontal striped squares.

  No idea what went wrong the first time, but it's all fixed now.

  Thank you very much for this suggestion. From now on, any problems with
converted data of any type and the first thing I'll do is recreate the map
giving problems.

Rich
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