Hi people!

landsat is not returning any results. For example:

$ landsat search -p 228,81 --latest 5
{
    "limit": 25, 
    "results": [], 
    "status": "SUCCESS", 
    "total": 0, 
    "total_returned": 0
}
['Search completed!']

$ landsat search -p 23,35 --latest 5
{
    "limit": 25, 
    "results": [], 
    "status": "SUCCESS", 
    "total": 0, 
    "total_returned": 0
}
['Search completed!']

$ landsat search -p 226,84 --latest 5
{
    "limit": 25, 
    "results": [], 
    "status": "SUCCESS", 
    "total": 0, 
    "total_returned": 0
}

Any suggestion/pointer to solve this problem? Thanks in advance!

Matias

Its probably a simple fix but I'm not an IT guy. I keep getting the following error

landsat search --cloud 4 --start "january 1 2014" --end "january 10 2014" -p 009,045 Traceback (most recent call last): File "/Users/schull/anaconda/bin/landsat", line 5, in import landsat.landsat File "/Users/schull/anaconda/lib/python2.7/site-packages/landsat/landsat.py", line 21, in from image import Process, FileDoesNotExist File "/Users/schull/anaconda/lib/python2.7/site-packages/landsat/image.py", line 13, in import rasterio File "/Users/schull/anaconda/lib/python2.7/site-packages/rasterio/init.py", line 8, in from rasterio._base import eval_window, window_shape, window_index ImportError: dlopen(/Users/schull/anaconda/lib/python2.7/site-packages/rasterio/_base.so, 2): Library not loaded: libgdal.1.dylib Referenced from: /Users/schull/anaconda/lib/python2.7/site-packages/rasterio/_base.so Reason: image not found

Any ideas how to fix it?

I am not having success trying to load a set of specific Landsat-8 scenes from USGS EROS site -- for scenes not available on AWS or Google-- trying this from an OSX machine.

I get the scene names using '> landsat search' just fine... With '> landsat download', I get "product not available on AWS S3 or Google Storage"... one of these scenes, as an example, is LC81290582016007LGN02.

When I supply my USGS EROS credentials --username --password (I do have m2m / special inventory access enabled on this account), I get the error message below. Any help greatly appreciated...

#---- Time spent : 0.75 seconds Traceback (most recent call last): File "/usr/local/bin/landsat", line 11, in sys.exit(main()) File "/usr/local/lib/python2.7/site-packages/landsat/landsat.py", line 491, in main exit(*main(args)) File "/usr/local/lib/python2.7/site-packages/landsat/landsat.py", line 408, in main files = d.download(args.scenes, bands) File "/usr/local/lib/python2.7/site-packages/landsat/downloader.py", line 80, in download files.append(self.usgs_eros(scene, self.download_dir)) File "/usr/local/lib/python2.7/site-packages/landsat/downloader.py", line 95, in usgs_eros error_tree = ElementTree.fromstring(str(e.message)) File "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/etree/ElementTree.py", line 1311, in XML parser.feed(text) File "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/etree/ElementTree.py", line 1653, in feed self._raiseerror(v) File "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/etree/ElementTree.py", line 1517, in _raiseerror raise err xml.etree.ElementTree.ParseError: not well-formed (invalid token): line 171, column 22

Hi. Congratulations on this very usefull tool. I'm having trouble processing the images after dowloading them. Here's the console text:

"C:\Programs\landsat-util-master>python C:\Programs\landsat-util-master\landsat\l andsat.py search --download --imageprocess --cloud 20 --start "january 1 2014" - -end "april 10 2014" pr 204 032 1 items were found { "limit": 100, "results": [ { "cloud": 4.16, "date": "2014-03-19", "path": "204", "row": "032", "sat_type": "L8", "sceneID": "LC82040322014078LGN00", "thumbnail": "http://earthexplorer.usgs.gov/browse/landsat_8/2014/20 4/032/LC82040322014078LGN00.jpg" } ], "status": "SUCCESS", "total": 1, "total_returned": 1 } Starting the download: Skipping existing item: file://C:\Users\Administrator/landsat/zip/LC820403220140 78LGN00.tar.bz 1 images were downloaded c:\users\admini~1\appdata\local\temp\1\tmpybepa2/LC82040322014078LGN00 folder cr eated c:\users\admini~1\appdata\local\temp\1\tmpybepa2/LC82040322014078LGN00/warp fold er created c:\users\admini~1\appdata\local\temp\1\tmpybepa2/LC82040322014078LGN00/scaled fo lder created c:\users\admini~1\appdata\local\temp\1\tmpybepa2/LC82040322014078LGN00/final fol der created Unzipping LC82040322014078LGN00 - It might take some time Creating output file that is 7828P x 7932L. Processing input file c:\users\admini~1\appdata\local\temp\1\tmpybepa2/LC8204032 2014078LGN00/LC82040322014078LGN00_B4.TIF. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 7828P x 7932L. Processing input file c:\users\admini~1\appdata\local\temp\1\tmpybepa2/LC8204032 2014078LGN00/LC82040322014078LGN00_B3.TIF. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 7828P x 7932L. Processing input file c:\users\admini~1\appdata\local\temp\1\tmpybepa2/LC8204032 2014078LGN00/LC82040322014078LGN00_B2.TIF. 0...10...20...30...40...50...60...70...80...90...100 - done. Creating output file that is 15655P x 15862L. Processing input file c:\users\admini~1\appdata\local\temp\1\tmpybepa2/LC8204032 2014078LGN00/LC82040322014078LGN00_B8.TIF. 0...10...20...30...40...50...60...70...80...90...100 - done. Starting the Min/Max process with designated -percent cut- for band 4 of LC82040 322014078LGN00 ... Finished processing band 4 of LC82040322014078LGN00 Starting the Min/Max process with designated -percent cut- for band 3 of LC82040 322014078LGN00 ... Finished processing band 3 of LC82040322014078LGN00 Starting the Min/Max process with designated -percent cut- for band 2 of LC82040 322014078LGN00 ... Finished processing band 2 of LC82040322014078LGN00 scaling pan to min max with 2% cut for band 4 Input file size is 7828, 7932 0...10...20...30...40...50...60...70...80...90...100 - done. scaling pan to min max with 2% cut for band 3 Input file size is 7828, 7932 0...10...20...30...40...50...60...70...80...90...100 - done. scaling pan to min max with 2% cut for band 2 Input file size is 7828, 7932 0...10...20...30...40...50...60...70...80...90...100 - done. Invalid Parameter - -combine Traceback (most recent call last): File "C:\Programs\landsat-util-master\landsat\landsat.py", line 285, in main() File "C:\Programs\landsat-util-master\landsat\landsat.py", line 282, in __main __ main(args) File "C:\Programs\landsat-util-master\landsat\landsat.py", line 236, in main p.full() File "C:\Programs\landsat-util-master\landsat\image_helper.py", line 108, in f ull self._combine() File "C:\Programs\landsat-util-master\landsat\image_helper.py", line 340, in _ combine subprocess.check_call(argv) File "C:\OSGeo4W64\apps\Python27\lib\subprocess.py", line 542, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '['convert', '-identify', '-combine', u'c :\users\admini~1\appdata\local\temp\1\tmpybepa2/LC82040322014078LGN00/war p/LC82040322014078LGN00_B4.TIF', u'c:\users\admini~1\appdata\local\temp\1
\tmpybepa2/LC82040322014078LGN00/warp/LC82040322014078LGN00_B3.TIF', u'c:\users \admini~1\appdata\local\temp\1\tmpybepa2/LC82040322014078LGN00/warp/LC8204 0322014078LGN00_B2.TIF', u'c:\users\admini~1\appdata\local\temp\1\tmpybep a2/LC82040322014078LGN00/final/rgb-null.TIF']' returned non-zero exit status 4 "

Hi,

I'm wondering if you are planning on implementing the new collection 1 information? The ESPA ordering system no longer stores the pre-collection data and so the sceneID information doesn't work anymore. We need the Landsat-product ID now.

Mitch

I essentially widened the allowed versions for all dependencies, taking care of specifying rasterio<1. The current setup has been tested in all Python >= 3.4 versions (see commit logs). I also updated the Dockerfile, hopefully fixing another issue.

This is just a far fetched open question: would be interesting to support the download / processing of imaginery from the Sentinel-2 satellites of the Copernicus mission? A few points of interest:

The mission

Multi-spectral data with 13 bands in the visible, near infrared, and short wave infrared part of the spectrum Systematic global coverage of land surfaces from 56° S to 84° N, coastal waters, and all of the Mediterranean Sea Revisiting every 5 days at the Equator under the same viewing conditions Spatial resolution of 10 m, 20 m and 60 m 290 km field of view Free and open data policy

Imaginery

Among others, there will be 4 bands at 10m resolution (50% more than Landsat-8): red, green, blue and VNIR. Nicely, there is no need to pansharpen in order to get images at max. resolution.

Data access

Data will be free to access. The good news are that there is an API to perform searches (including geographical bounding, cloud cover, date, etc.) and download quicklooks and products. This API is well documented here. The bad news are that the API requires user registration:

curl -u username:password "https://scihub.esa.int/dhus/search?q=S2A*&format=json"

Also, the images are distributed in a specific SAFE format which I'm not sure GDAL supports yet (it seems that GDAL supports Sentinel-1 SAFE, but not Sentinel-2 SAFE).

As you can see the tools are not so ready yet, but I think it could be interesting to have this issue in mind in order to someday extend the functionality of landsat-util, no? The possibility of 50% higher resolution imaginary with 1/3 of the revisit time without the need of pansharpening (which highly increases the resources needed) is very tempting!

What do you think? =)

replaced join() with "/".join() for building google and Amazon S3 URLs that are compatible across platforms. Remove trailing "/" from S3 and Google base URL in settings.py

As I've proposed in Issue #102, these are the modifications in order to allow the use of new command-line flag --use-aria2c true, in order to download the scenes using aria2c's parallel download. This is my first contribution so, in case something looks odd, just let me know, ok? Cheers.

This command landsat download LC81410412015088LGN00 --bands 432 -p --pansharpen fails because band 8 is not downloaded from aws.

Have to make sure that band 8 is downloaded if pansharpen flag is used for 2015 and newer imagery.

After updating Xcode to 4.6.3 and running brew doctor, still i get this error after running the install for landsat-util--has anyone seen this before?

1 error generated. make[1]: *** [magick/magick_libMagickCore_6_Q16_la-annotate.lo] Error 1 make[1]: *** Waiting for unfinished jobs.... make: *** [install] Error 2

Hi there, I am working on a raster file and want to clip an area from the raster using latitude and longitude. But Landsat API requires coordinates in WGS84 datum. How can I convert these lat and long coordinates into the desired format?. Thanks.

Hi,

Recently rasterio released version 1.0 and is currently at version 1.0.23. That has some important updates and features, and at the moment I cannot install landsat-util because of its rasterio version requirements (currently rasterio~=0.36)

Would it be possible to update that?

$ sudo docker run -it -v ~/landsat:/root/landsat developmentseed/landsat-util:latest landsat search --lat 33.9436973 --lon -118.4073388       

/usr/local/lib/python2.7/dist-packages/requests/packages/urllib3/util/ssl_.py:90: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. For more information, see https://urllib3.readthedocs.org/en/latest/security.html#insecureplatformwarning.
  InsecurePlatformWarning
Traceback (most recent call last):
  File "/usr/local/bin/landsat", line 9, in <module>
    load_entry_point('landsat-util==0.13.1', 'console_scripts', 'landsat')()
  File "/landsat/landsat/landsat.py", line 488, in __main__
    print(main(args))
  File "/landsat/landsat/landsat.py", line 357, in main
    geojson=args.geojson)
  File "/landsat/landsat/search.py", line 96, in search
    r = requests.get('%s?search=%s&limit=%s' % (self.api_url, search_string, limit))
  File "/usr/local/lib/python2.7/dist-packages/requests/api.py", line 69, in get
    return request('get', url, params=params, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/requests/api.py", line 50, in request
    response = session.request(method=method, url=url, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/requests/sessions.py", line 465, in request
    resp = self.send(prep, **send_kwargs)
  File "/usr/local/lib/python2.7/dist-packages/requests/sessions.py", line 573, in send
    r = adapter.send(request, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/requests/adapters.py", line 431, in send
    raise SSLError(e, request=request)
requests.exceptions.SSLError: [Errno 1] _ssl.c:510: error:14077438:SSL routines:SSL23_GET_SERVER_HELLO:tlsv1 alert internal error

When I tried to download Landsat 8 data with year of 2018 , then there was an error LC81210382018100LGN00 is not available on AWS S3 or Google Storage

I'm using a windows 10 system. Should I use a docker and run it on Hyper-V? Is this the only way? Anyone familiar with the start-up could help me out? Thanks!