QGIS Integration with Rasters#

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# Export project for a workspace (includes all vector and raster layers)
./geoserver-cli qgis export project -w my_workspace -o analysis.qgs

# Export all-workspaces project
./geoserver-cli qgis export project --all-workspaces -o global.qgs

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# Export WMS connections (for rasters and WMS layers)
./geoserver-cli qgis export connections -w my_workspace -o wms_connections.xml

# Export to stdout for piping
./geoserver-cli qgis export connections -w my_workspace

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# Setup: Create workspace with satellite imagery and administrative boundaries

# 1. Publish satellite imagery (raster)
./geoserver-cli coverage store create satellite_2024 -w analysis \
  --type ImageMosaic \
  --url "file:///data/satellite/" \
  --description "2024 Satellite Imagery"

./geoserver-cli coverage update satellite_2024 -s satellite_2024 -w analysis \
  --enabled true --advertised true

# 2. Configure style for visualization
./geoserver-cli style create satellite_natural_color --sld @natural_color.sld
./geoserver-cli coverage update satellite_2024 -s satellite_2024 -w analysis \
  --default-style satellite_natural_color

# 3. Publish vector boundaries
./geoserver-cli publish postgis --layer admin_boundaries -w analysis --store postgis

# 4. Generate QGIS project
./geoserver-cli qgis export project -w analysis -o satellite_analysis.qgs

# 5. Open in QGIS and analyze
# - Satellite imagery available as background WMS layer
# - Vector boundaries available for drawing annotations
# - Both layers properly styled with configured symbols

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# Setup: Combine DEM, land cover, and infrastructure

# 1. Publish elevation model
./geoserver-cli coverage store create dem -w analysis \
  --type GeoTIFF --url "file:///data/dem.tif"
./geoserver-cli coverage update dem -s dem -w analysis \
  --interpolation bilinear --default-style hillshade \
  --enabled true --advertised true

# 2. Publish land cover raster
./geoserver-cli coverage store create lulc -w analysis \
  --type GeoTIFF --url "file:///data/lulc.tif"
./geoserver-cli coverage update lulc -s lulc -w analysis \
  --interpolation nearest --default-style lulc_colors \
  --enabled true --advertised true

# 3. Publish infrastructure vectors
./geoserver-cli publish postgis --layers roads,power_lines -w analysis

# 4. Export single QGIS project with all layers
./geoserver-cli qgis export project -w analysis -o multi_source.qgs

# Result: QGIS project with:
# - DEM hillshade rendering
# - Land cover color classification
# - Road and power line features
# - All properly styled and ready for analysis

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# Setup: Make raster and vector data available to team

# 1. Create workspace with both vector and raster data
./geoserver-cli workspace create team_gis

# 2. Publish rasters (available via WMS)
./geoserver-cli coverage store create basemap -w team_gis \
  --type ImageMosaic --url "file:///imagery/"
./geoserver-cli coverage update basemap -s basemap -w team_gis \
  --enabled true --advertised true

# 3. Publish vectors (available via WFS for editing)
./geoserver-cli publish postgis --all -w team_gis

# 4. Generate connections for team distribution
./geoserver-cli qgis export connections -w team_gis -o team_connections.xml

# 5. Team members:
# - Import connections into QGIS
# - Configure QGIS Auth Manager (settings/security)
# - Access rasters via WMS (background layers)
# - Edit vector data via WFS

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# Example: Create hillshade style and apply
./geoserver-cli style create dem_hillshade --sld @hillshade.sld
./geoserver-cli coverage update dem -s dem_store -w analysis \
  --default-style dem_hillshade

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# Continuous rasters: use bilinear or bicubic
./geoserver-cli coverage update elevation -s dem -w gis \
  --interpolation bilinear

# Discrete rasters: use nearest
./geoserver-cli coverage update landuse -s lulc -w gis \
  --interpolation nearest

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# Good: specific and descriptive
dem_utm30_2024_hiresolution
satellite_rgb_ortho_2024
landcover_corine_2020

# Bad: vague
data
raster1
imagery

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./geoserver-cli coverage update my_raster -s store -w ws \
  --enabled true --advertised true

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# Test export with one small workspace first
./geoserver-cli qgis export project -w test -o test.qgs

# If successful, export full workspace
./geoserver-cli qgis export project -w production -o production.qgs

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# Set titles and descriptions
./geoserver-cli coverage update raster_name -s store -w ws \
  --title "Descriptive Title for Display" \
  --abstract "Detailed information about this raster data"

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# Verify coverage exists and is enabled
./geoserver-cli coverage list -s store -w workspace
./geoserver-cli coverage update raster_name -s store -w workspace

# Check if advertised (appears in WMS GetCapabilities)
# If not advertised, QGIS may not see it
./geoserver-cli coverage update raster_name -s store -w workspace \
  --advertised true

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# Verify layer can be accessed via WMS
curl "http://geoserver/geoserver/workspace/wms?service=WMS&version=1.1.1&request=GetCapabilities"

# Verify interpolation is set
./geoserver-cli coverage metadata raster_name -s store -w workspace

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# Export only specific workspace instead of all-workspaces
./geoserver-cli qgis export project -w specific_workspace -o output.qgs

# Export connections only (no full project)
./geoserver-cli qgis export connections -w workspace -o connections.xml