Timeline for Delineating coastline with panchromatic imagery
Current License: CC BY-SA 3.0
9 events
| when toggle format | what | by | license | comment | |
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| Sep 4, 2017 at 15:15 | comment | added | Aaron♦ | As long as you know the corner coords, you can georeference the image with gdal and python: gis.stackexchange.com/a/116872/8104 | |
| Sep 4, 2017 at 10:42 | comment | added | Basile | @Aaron thanks for the information about those packages, especially scikit-image! Do you have any experience of converting non-georeferenced outputs of those algorithms into georeferenced ones (i.e. detected contours to shapefiles)? | |
| Sep 4, 2017 at 9:32 | comment | added | Basile | @Luke you name it. What would you recommend? Your thresholding seems pretty good, although there are some brighter water areas present on this image, too | |
| Sep 4, 2017 at 5:16 | comment | added | user2856 | I got a decent result thresholding then grouping low values . What software do you have available? | |
| Sep 4, 2017 at 4:55 | comment | added | Aaron♦ | I would explore image segmentation with Python's opencv package. Here is a blog post that will hopefully get you started: learndeltax.blogspot.com/2016/02/…. Python's scikit-image package is also excellent for digital image processing: scikit-image.org/docs/dev/auto_examples | |
| Sep 4, 2017 at 1:21 | history | edited | PolyGeo♦ | CC BY-SA 3.0 |
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| Sep 4, 2017 at 0:36 | history | edited | PolyGeo♦ | CC BY-SA 3.0 |
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| Sep 3, 2017 at 23:58 | comment | added | Michael Stimson | If that's all you have then you really have a serious problem. You could give supervised classification a go but I have my doubts that it will return anything like what you need. If you can source some infra red bands your chances of automatically classifying sea/shore edge get better. Perhaps you could start with SRTM to approximate your coastline and use that to limit your processing area to save some cleaning up later. | |
| Sep 3, 2017 at 23:53 | history | asked | Basile | CC BY-SA 3.0 |
