File | Date | Author | Commit |
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images | 2020-09-03 |
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[10a1c6] Initial commit |
.gitignore | 2020-09-03 |
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[10a1c6] Initial commit |
AICtools.tbx | 2020-09-03 |
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[337bd4] Removed old defaults from Build_Mosaic model |
LICENSE | 2020-09-03 |
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[10a1c6] Initial commit |
README.md | 2020-09-04 |
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[532dac] Fixed markdown typo in README.md |
TODO | 2020-11-27 |
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[dc4cac] Updated TODO |
aict-bulk_composite.py | 2020-11-27 |
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[bafea6] Added interactive input option for confirming T... |
aict-extract_scenes.sh | 2020-09-03 |
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[9c155d] Rename scripts to start with aict prefix |
aict-metadata_filter.py | 2020-09-04 |
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[83e873] Fixed filename typo |
Copyright 2020 Egor Sanin <egordotsaninatgmaildotcom></egordotsaninatgmaildotcom>
bsd-3-clause (see LICENSE)
AICtools is a GIS workflow and set of tools to facilitate Automated Imagery Classification (AIC) and analysis of surface features over time.
Trained classification of satellite imagery is a fast and relatively simple way to characterize surface features and compare changes in these features over time.
The availability and continuity of both public and commercial data sets makes AIC a rich source of information relevant in numerous fields.
Many open source and commercial tools for processing digital imagery have been developed, however, the workflows involved can be time consuming and labour-intensive.
The goal of AICtools is to take some of the work out of automation and bulk processing of large data sets, including:
This tool set (currently) requires ArcGIS (arcpy) and a Unix-like environment for file manipulation (e.g. Bash).
AICtools is under active development and currently works with Landsat/ArcGIS only.
Support for other publicly available datasets and geoprocessing enviroments will be added in future releases.
AICtools consists of:
- aict-metadata_filter.py
- aict-extract_scenes.sh
- aict-bulk_composite.py
- AICtool.tbx
- Build Mosaic
- Create AOI Mask
- Area Trends
- NDVI Trends
More details on using AICtools can be found at http://integer0.users.sourceforge.net