LC81980292015263LGN00 clipped error

Command

```
/usr/local/bin/landsat download LC81980292015263LGN00 --dest=data -p --clip=1.3514147,43.5365284,1.3842081,43.5514638
```

Output

```

===> Source: AWS S3
===> Downloading: LC81980292015263LGN00_B4.TIF
100% 63.5 MiB 2.1 MiB/s 0:00:00 ETA
stored at data/LC81980292015263LGN00
===> Downloading: LC81980292015263LGN00_B3.TIF
100% 62.4 MiB 4.3 MiB/s 0:00:00 ETA
stored at data/LC81980292015263LGN00
===> Downloading: LC81980292015263LGN00_B2.TIF
100% 59.9 MiB 1.9 MiB/s 0:00:00 ETA
stored at data/LC81980292015263LGN00
===> Downloading: LC81980292015263LGN00_BQA.TIF
100% 5.3 MiB 780.1 KiB/s 0:00:00 ETA
stored at data/LC81980292015263LGN00
===> Downloading: LC81980292015263LGN00_MTL.txt
100% 7.7 KiB 7.7 KiB/s 0:00:00 ETA
stored at data/LC81980292015263LGN00
Clipping
Band 4
Band 3
Band 2
Band QA
===> Image processing started for bands 4-3-2
===> Getting boundaries
===> Projecting
band 4
band 3
band 2
===> Calculating cloud and snow coverage from QA band
cloud/snow coverage: 0.0
===> Final Steps
Color correcting band 4
Time spent : 85.60 seconds
```

Error

```
Traceback (most recent call last):
File "/usr/local/bin/landsat", line 8, in
landsat.landsat.__main__()
File "/usr/local/lib/python2.7/dist-packages/landsat/landsat.py", line 491, in __main__
exit(*main(args))
File "/usr/local/lib/python2.7/dist-packages/landsat/landsat.py", line 416, in main
args.ndvigrey, bounds=bounds)
File "/usr/local/lib/python2.7/dist-packages/landsat/landsat.py", line 479, in process_image
return p.run()
File "/usr/local/lib/python2.7/dist-packages/landsat/decorators.py", line 11, in wrapped_f
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/landsat/image.py", line 427, in run
return self._write_to_file(new_bands, **rasterio_options)
File "/usr/local/lib/python2.7/dist-packages/landsat/decorators.py", line 11, in wrapped_f
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/landsat/image.py", line 264, in _write_to_file
band = self._color_correction(band, self.bands[i], 0, coverage)
File "/usr/local/lib/python2.7/dist-packages/landsat/image.py", line 278, in _color_correction
p_low, cloud_cut_low = self._percent_cut(band, low, 100 - (coverage * 3 / 4))
File "/usr/local/lib/python2.7/dist-packages/landsat/image.py", line 288, in _percent_cut
return numpy.percentile(color[numpy.logical_and(color > 0, color < 65535)], (low, high))
File "/usr/local/lib/python2.7/dist-packages/numpy/lib/function_base.py", line 3268, in percentile
interpolation=interpolation)
File "/usr/local/lib/python2.7/dist-packages/numpy/lib/function_base.py", line 2997, in _ureduce
r = func(a, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/numpy/lib/function_base.py", line 3385, in _percentile
x1 = take(ap, indices_below, axis=axis) * weights_below
File "/usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py", line 124, in take
return take(indices, axis, out, mode)
IndexError: cannot do a non-empty take from an empty axes.
```

Reproduce the supplied landsat download command and inspect landsat/image.py, especially _write_to_file, _color_correction, and _percent_cut. Trace why the clipped band produces an empty array before numpy.percentile; done means the command completes without this IndexError and produces the clipped output.

Written by the indexing model from the issue text.