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Merge pull request #180 from bradh/develop

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Minor spelling fixes.
This commit is contained in:
Scisco
2016-04-15 09:55:56 -04:00
parent 48cc76d4a4 0422e3ab42
commit 87873fc13b
5 changed files with 12 additions and 12 deletions
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6
docs/commands.rst
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@@ -64,7 +64,7 @@ Commands
--pansharpen Whether to also pansharpen the processed image.
Pansharpening requires larger memory
--ndvi Calculates NDVI and produce a RGB GTiff with seperate colorbar.
--ndvi Calculates NDVI and produce a RGB GTiff with separate colorbar.
--ndvigrey Calculates NDVI and produce a greyscale GTiff.
@@ -100,7 +100,7 @@ Commands
--pansharpen Whether to also pansharpen the process image.
Pansharpening requires larger memory
--ndvi Calculates NDVI and produce a RGB GTiff with seperate colorbar.
--ndvi Calculates NDVI and produce a RGB GTiff with separate colorbar.
--ndvigrey Calculates NDVI and produce a greyscale GTiff.
@@ -129,7 +129,7 @@ Commands
positional arguments:
{search,download,process}
Landsat Utility
search Search Landsat metdata
search Search Landsat metadata
download Download images from Google Storage
process Process Landsat imagery

2
docs/installation.rst
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@@ -54,7 +54,7 @@ Upgrade
$: pip install -U landsat-util
If you have installed previous version of landsat using brew, first run::
If you have installed a previous version of landsat using brew, first run::
$: brew uninstall landsat-util

4
docs/notes.rst
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@@ -1,9 +1,9 @@
Important Notes
===============
- All downloaded and processed images are stored at your home directory in landsat forlder: ``~/landsat``
- All downloaded and processed images are stored at your home directory in landsat folder: ``~/landsat``
- The image thumbnail web address that is included in the results can be used to make sure that clouds are not obscuring the subject of interest. Run the search again if you need to narrow down your result and then start downloading images. Each image is usually more than 700mb and it might takes a very long time if there are too many images to download
- The image thumbnail web address that is included in the results can be used to make sure that clouds are not obscuring the subject of interest. Run the search again if you need to narrow down your result and then start downloading images. Each image is usually more than 700mb and it might take a very long time if there are too many images to download
- Image processing is a very heavy and resource consuming task. Each process takes about 5-10 mins. We recommend that you run the processes in smaller badges. Pansharpening, while increasing image resolution 2x, substantially increases processing time.

6
docs/overview.rst
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@@ -19,7 +19,7 @@ Search returns information about all landsat tiles that match your criteria. Th
Search for landsat tiles in a given geographical region, using any of the following:
- **Paths and rows**: If you know the paths and rows you want to search for.
- **Latidue and Longitude**: If you need the latitude and longitude of the point you want to search for.
- **Latitude and Longitude**: If you need the latitude and longitude of the point you want to search for.
Additionally filter your search using the following parameters:
@@ -38,7 +38,7 @@ Search by latitude and longitude::
Search by latitude and longitude with pure json output (you should install geojsonio-cli first)::
$: landsat search --lat 38.9004204 --lon -77.0237117 --geojson | geojosnio
$: landsat search --lat 38.9004204 --lon -77.0237117 --geojson | geojsonio
Show search output on geojsonio::
@@ -88,7 +88,7 @@ Process *and* pansharpen a downloaded image::
$: landsat process path/to/LC80090452014008LGN00.tar.bz --pansharpen
Clip an image before processing (The coordinates shows below show Prague)::
Clip an image before processing (The coordinates below show Prague)::
$: landsat process path/to/LC81920252015157LGN00.tar.bz --pansharpen --clip=-346.06658935546875,49.93531194616915,-345.4595947265625,50.2682767372753

6
landsat/landsat.py
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@@ -92,7 +92,7 @@ search, download, and process Landsat imagery.
--pansharpen Whether to also pansharpen the processed image.
Pansharpening requires larger memory
--ndvi Calculates NDVI and produce a RGB GTiff with seperate colorbar.
--ndvi Calculates NDVI and produce a RGB GTiff with separate colorbar.
--ndvigrey Calculates NDVI and produce a greyscale GTiff.
@@ -135,7 +135,7 @@ search, download, and process Landsat imagery.
--pansharpen Whether to also pansharpen the process image.
Pansharpening requires larger memory
--ndvi Calculates NDVI and produce a RGB GTiff with seperate colorbar.
--ndvi Calculates NDVI and produce a RGB GTiff with separate colorbar.
--ndvigrey Calculates NDVI and produce a greyscale GTiff.
@@ -182,7 +182,7 @@ def args_options():
# Search Logic
parser_search = subparsers.add_parser('search',
help='Search Landsat metdata')
help='Search Landsat metadata')
# Global search options
parser_search.add_argument('-l', '--limit', default=10, type=int,