Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

docs: add intro text to imageryintro.html #4536

Merged
merged 4 commits into from
Oct 17, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion gui/wxpython/gmodeler/g.gui.gmodeler.html
Original file line number Diff line number Diff line change
Expand Up @@ -466,7 +466,7 @@ <h2>SEE ALSO</h2>

<p>
See also selected user models available from
<a href="https://grass.osgeo.org/grass78/manuals/addons/">GRASS Addons repository</a>.
<a href="https://grass.osgeo.org/grass8/manuals/addons/">GRASS Addons repository</a>.

<p>
See also
Expand Down
15 changes: 15 additions & 0 deletions imagery/imageryintro.html
Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,21 @@
<!-- meta page index: imagery -->
<h3>Image processing in general</h3>

GRASS GIS provides a powerful suite of tools for the processing and
analysis of geospatial raster data, including satellite imagery and
aerial photography. Its image processing capabilities encompass a broad
range of preprocessing operations, such as data import, georeferencing,
radiometric calibration, and atmospheric correction. It is particularly
suited for handling Earth observation data, enabling the analysis of
multispectral and temporal datasets. GRASS GIS supports advanced
functionalities such as image classification, sensor fusion, and point
cloud statistics. The calculation of vegetation indices further enables
analyses of environmental, agricultural, and land cover dynamics. An
extensive collection of
<a href="https://grass.osgeo.org/grass8/manuals/addons/#i">addons</a>
further enhances its image processing capabilities, particularly in the
context of Earth observation and remote sensing applications.

<b>Digital numbers and physical values (reflection/radiance-at-sensor):</b>
<p>
Satellite imagery is commonly stored in Digital Numbers (DN) for
Expand Down
Loading