Hello Ivan,
ReprojectImage() has a parameter psOptions()
http://www.gdal.org/gdalwarper_8h.html#ad36462e8d5d34642df7f9ea1cfc2fec4
It should accept any of the warping options, e.g. '-tps'
http://www.gdal.org/gdalwarp.html
I'm not 100% sure (since I'm using Python) but it may work.
I'll take thi
but using
a VRT mechanism. maybe i can adapt this approach to get something working.
thanks very much for the pointer
-i
-Message d'origine-
De : gdal-dev-boun...@lists.osgeo.org [mailto:gdal-dev-boun...@lists.osgeo.org]
De la part de Anton Korosov
Envoyé : Monday, 17 February
Dear Rémi,
you may want to look at our Python package NANSAT
(https://github.com/nansencenter/nansat) which we build around the GDAL
and especially VRT. We even have a separate class VRT() for creating,
changing and using VRT files.
More specific regarding your question, you can try to use the
Hi!
The format of the new OBPG OceanColor files is HDF5 (aka NetCDF4), so
you should have your GDAL compiled with HDF5 support:
http://www.gdal.org/frmt_hdf5.html
Then you can access the content of the file using groups and variables
syntax:
gdalinfo HDF5:"A2015069035500.L2_LAC_OC.nc"://geop
You can use 'ncdump -h A2015069035500.L2_LAC_OC.nc'
ncdump is not part of gdal, but it will show you the contents of the
dataset.
In Python you can use netcdf4.Dataset to open HDF5 files.
On 30/06/15 11:08, oz wrote:
By specifying the chlor_a, it will just display all the info on chlor_a. But
Dear GDAL developers,
I was trying to access MODIS L1 data available e.g. here:
ftp://ladsweb.nascom.nasa.gov/allData/6/MYD02HKM/
and since GDAL version (2.1.0) the values of Ground Control Points are
completely wrong. GCPPixel and GCPLine are twice larger than should be
and GCPX, GCPY are jus
Hi, Antonio!
You can do that with the gdalinfo command prior to running a python script:
gdalinfo MODIS_FILE.hdf | grep EV_1KM_RefSB | wc -l
returns a number if subdataset EV_1KM_RefSB exist
return 0 if not.
triton:gdaltest>gdalinfo MYD02QKM.A2010217.1335.005.2010218190207.hdf |
grep EV_1KM_Re
Hi!
Please read these pages of docs written by our programmer who have
installed GDAL with HDF4 support on Windows. They were fastly developed
rather for internal use but you might find them helpful.
https://docs.google.com/document/pub?id=1cRaLQXoWh-Q6bRvkLq1t6ZUxk9Wae5eXd4_KpTeBbBw
Don't h
Hi Etienne!
What if you first process the original fine resolution image with a
filter (low-pass, median, or manually created pixel function). Then the
result, which is a fine resolution image but smoothed, could be
resampled with the nearest neighbor.
Anton
On 08/05/2011 03:57 AM, Etienne
Hi Antonio!
In python you'll probably have to open the dataset, loop through all
bands, fetch description (or metadata) from each band and then decide if
the required band exists.
f =
gdal.Open('HDF4_EOS:EOS_SWATH:"MOD021KM.A2010105.2120.005.2010106075131.hdf":MODIS_SWATH_Type_L1B:EV_1KM_Ref
Hi!
Looks like a syntax error. There should be a colon after EOS_GRID
Try
gdalinfo HDF4_EOS:EOS_GRID:"C:\filename.hdf":POSTEL:data1
At least that works at my Linux:
gdalinfo
HDF4_EOS:EOS_SWATH:"/host/gdaltest/MOD021KM.A2010105.2120.005.2010106075131.hdf":MODIS_SWATH_Type_L1B:EV_1KM_RefSB
On
Hi
first install geos library using Ubuntu software center (libgeos,
libgeos-dev)
then download gdal source and configure it:
./configure --with-python -with-geos=yes
then
make
sudo make install
If that doesn't work give me a sign, I'll publish more detailed
instructions.
Good luck!
Anton
p
Hi Joaquim!
I'm curious why do you want to read cnt_pt_col and cnt_pt_row from a
SeaWiFS file?
These dataset (1D vectors, actually) only contains indexes of rows and
columns for which latitude, longitude grids are given. And you can read
lat/lon from GCPs. Or do you also feel that only ~100
Hi!
I'm not sure but probably my question is related to the one below.
I'm trying to mosaic one MODIS images onto another with GDAL:
gdal_translate
HDF4_EOS:EOS_SWATH:"/Data/sat/GDAL_test/MYD021KM.A2011228.0925.005.2011229003113.hdf":MODIS_SWATH_Type_L1B:EV_1KM_RefSB
-b 1 /data/modis1.tif
gd
ich
is understandable because curvature of a MERIS images (given by GCPs)
cannot be fully explained by few numbers in the geotransform.
On 12/16/2011 03:56 PM, Anton Korosov wrote:
Hi!
I'm not sure but probably my question is related to the one below.
I'm trying to mosaic o
odis_reprojection_tool_swath
>
> Brian
>
>
> On Thu, 2012-01-12 at 09:23 +0100, Anton Korosov wrote:
>> Hello everyone!
>>
>> Some time ago I've asked about problems with gdalwarp (the e-mails
>> below). I tried to utilize Python binding instead but got t
Probably the problem is with data type. You obviously have data of float
type and you give GDT_Byte to the gdal.GetDriverByName('GTiff').Create().
Either try to create array with Byte data or give GDT_Float32. In the
latter case the produced geotiff will have 32 bits fo each pixel. It is
not sup
Hello Etienne!
I also got such error when trying to process MODIS L1B images taken near
the pole. Try to set some limited extent with the -te option for
gdalwarp. It helped me, at least.
Best regards!
Anton
On 02/07/2012 10:22 PM, Etienne Tourigny wrote:
Even, Frank,
thanks for your answer
Hello everybody!
I'm trying to read values from a VRT file in Python. When I modify
or it seem not to make any effect.
I have a simple VRT of a Landsat7 file (below). It has neither scale nor
offset. I launch the given script twice:
1st time to test the value of scale and the value from a
that the value is correctly reprojected
(the outlines of Florida are consistent).
==> Does this mean that gdalwarp -geoloc should always be used with -te option?
Etienne
On Wed, Feb 8, 2012 at 6:21 AM, Anton Korosov wrote:
Hello Etienne!
I also got such error when trying to process MODIS
Hi Solomon,
I believe you can just specify the following tag within the ComplexSource:
(of course setting the correct values)
In this tag you can explicitly indicate the type of the source.
For a more definite answer can you please give an example of the two VRT
files that you create.
Anton
>
Hi Michael,
I do that maybe in an awkward way but it saves time.
1. I create a VRT file (e.g. using CreateCopy) and open it using
xml.etree.ElementTree.XML
2. I decrease rasterXSize and rasterYSize attributes of the VRTDataset tag
3. I also decrease xSize and ySize attributes of the DstRect ta
Dear list,
what does the annoying error 'ERROR 1: Too many points (441 out of 441)
failed to transform' mean?
When I try to warp a MODIS image directly into tif it works perfect:
gdalwarp -t_srs '+proj=latlong' -of GTiff -geoloc -te -4 51 14 66 -ts
900 1400 HDF4_SDS:UNKNOWN:"/data/A201210111
Hi Giuseppe,
gdal_calc is built on operations with matrices using the Python module
'numpy' http://numpy.scipy.org/
Instead of digging into it I would suggest to study numpy functionality
a bit. The following simple script somewhat solves your problem:
import numpy as np
"""
you may data f
utside the SRC image then gdaltranslate
of the generated VRT file fails. That's obviously an error and I will
create a ticket with examples and debugging output.
So the solution for the problem is to set the BlockSize to the image size.
With best regards!
Anton
On 04/16/2012 12:12 PM, A
Hi Rutger,
I remember I had similar problems when reading NetCDF in Windows. The
solution in my case was pretty simple - I had to include the full path
to the file in double quotes:
Try this way (but replace this path with yours):
ds =
gdal.Open('NETCDF:"c:/data/LPRM-TMI_L3_DY_SOILM3_V001-2
Hi,
though be prepared that converting large images into shape is quite
slow. I would go opposite way: convert a shape to a raster [0, 1];
extract band from the image as another raster [2]; and then extract
statistics using Numpy [e.g. 3].
[0] http://stackoverflow.com/questions/2220749/raste
Dear Even,
thank you very much for the info. I'm imressed by the gdal once again!
Though I have a problem with LANDSAT tar.gz:
fram:raw>tar -tf LT52280012006208KIS00.tar.gz
L5228001_00120060727_B10.TIF
L5228001_00120060727_B20.TIF
L5228001_00120060727_B30.TIF
fram:raw>gdalinfo
/vsigzip/LT522800
Dear list,
how to create a NetCDF file with several variables that have more than
two dimensions?
I have to save time series of several fields (sst, chlorophyll, etc) in
one file.
I found that in order to create one 3D variable I can add
NETCDF_DIM_EXTRA, NETCDF_DIM_time_DEF, NETCDF_DIM_time_
reate netcdf files from other formats, not write complex
files.
Anything else is a hack - better to use other tools if you want to
combine bands, variables, etc.
Etienne
On Mon, Jul 23, 2012 at 2:07 PM, Chris Barker wrote:
On Mon, Jul 23, 2012 at 7:50 AM, Anton Korosov wrote:
how to create a N
Dear Etienne,
I faced the following problem with the NetCDF driver:
Units of the dimension variables are 'km' and values in the SRS are in
meters, of course (e.g. Earth radius). Hence the calculated GeoTransform
is 1000 times less than should be and the calculate latlons are incorrect.
However
imilar fix?
Etienne
On Tue, Aug 7, 2012 at 10:59 AM, Anton Korosov wrote:
Hi!
It seem to work fine with this patch. Should I make a ticket?
Index: frmts/netcdf/netcdfdataset.cpp
===
--- frmts/netcdf/netcdfdataset.cpp (revis
Dear list,
in gdal-dev archiveI found a question about COSMO SKYMED data which was
obviously not answered:
"COSMO delivers two kinds of HDF5 data:
1. Complex Dataset that is a [MxNx2] matrix. In this case the problem is
that the gdal method Open() reads this Dataset not such as 2 Datasets of
Hello Juan
Pedro Pérez!
I've built GDAL 1.9.2 on Ubuntu with the default libdap from repositories:
sudo apt-get install libdap11
sudo apt-get install libdap-dev
ldconfig -p | grep libdap
gives the following:
libdapserve
Hi!
we are developing software for automatic processing of satellite data
and decided to base it mostly on GDAL-Python bindings. Can I ask you
about options to create Warped VRT datasets in Python?
1. The command
gdalwarp -t_srs '+proj=utm +zone=24 +datum=WGS84' -of VRT -tr 1000 1000
-te -10
Hi Frank!
There is a bug in the current Envisat driver which could be fixed in 1.8.1.
Not all bands (MDS) are read properly from the MERIS Level 2 imagery.
Below are last lines of the output of
gdalinfo MER_RR__2PNPDK20110502_144833_24913102_00097_47956_7579.N1
MDSs are numbered from 1 to
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