GUI section for buildings analysis

grass-gis-addons/m.analyse.buildings/r.extract.buildings.worker/r.extract.buildings.worker.html

@@ -3,7 +3,7 @@ <h2>DESCRIPTION</h2>
 <em>r.extract.buildings.worker</em> is a worker module that is started by
 <a href="r.extract.buildings.html">r.extract.buildings</a>. It extracts buildings
 as vectors using an nDSM-raster, NDVI-raster, and FNK-vector
-(Flaechennutzungskatalog).
+(Flaechennutzungskartierung).
 
 <h2>SEE ALSO</h2>
 

grass-gis-addons/m.analyse.buildings/r.extract.buildings.worker/r.extract.buildings.worker.py

@@ -8,7 +8,7 @@
 #
 # PURPOSE:      Extracts buildings from nDSM, NDVI and FNK
 #
-# COPYRIGHT:	(C) 2023 by mundialis and the GRASS Development Team
+# COPYRIGHT:	(C) 2023 - 2024 by mundialis and the GRASS Development Team
 #
 # 		This program is free software under the GNU General Public
 # 		License (>=v2). Read the file COPYING that comes with GRASS
@@ -19,48 +19,57 @@
 # %Module
 # % description: Extracts buildings from nDSM, NDVI and FNK.
 # % keyword: raster
-# % keyword: statistics
-# % keyword: change detection
 # % keyword: classification
+# % keyword: statistics
+# % keyword: worker
+# %end
+
+# %option G_OPT_V_INPUT
+# % key: area
+# % label: Input natural tiles as vector map
+# %end
+
+# %option
+# % key: new_mapset
+# % type: string
+# % required: yes
+# % multiple: no
+# % key_desc: name
+# % label: Name for new mapset
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: ndsm
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name of the nDSM
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: ndvi_raster
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name of the NDVI raster
 # %end
 
-# %option G_OPT_V_INPUTS
+# %option G_OPT_V_INPUT
 # % key: fnk_vector
 # % type: string
 # % required: no
-# % multiple: no
-# % label: Vector map containing Flaechennutzungskatalog
+# % label: Vector map containing Flaechennutzungskartierung
 # %end
 
-# %option G_OPT_R_INPUTS
+# %option G_OPT_R_INPUT
 # % key: fnk_raster
 # % type: string
 # % required: no
-# % multiple: no
-# % label: Raster map containing Flaechennutzungskatalog
+# % label: Raster map containing Flaechennutzungskartierung
 # %end
 
-# %option G_OPT_R_INPUTS
+# %option G_OPT_R_INPUT
 # % key: fnk_column
 # % type: string
 # % required: no
-# % multiple: no
 # % label: Integer column containing FNK-code
 # %end
 
@@ -90,36 +99,19 @@
 # % label: NDVI threshold (user-defined or estimated from FNK, scale 0-255)
 # %end
 
-# %option G_OPT_MEMORYMB
-# %end
-
 # %option G_OPT_R_OUTPUT
 # % key: output
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name for output vector map
-# % guisection: Output
 # %end
 
-# %option
-# % key: new_mapset
-# % type: string
-# % required: yes
-# % multiple: no
-# % key_desc: name
-# % description: Name for new mapset
-# %end
-
-# %option G_OPT_V_INPUT
-# % key: area
-# % multiple: no
-# % description: Input natural tiles as vector map
+# %option G_OPT_MEMORYMB
 # %end
 
 # %flag
 # % key: s
-# % description: Segment image based on nDSM and NDVI before building extraction
+# % label: Segment image based on nDSM and NDVI before building extraction
 # %end
 
 # %rules

grass-gis-addons/m.analyse.buildings/r.extract.buildings/r.extract.buildings.html

@@ -3,7 +3,7 @@ <h2>DESCRIPTION</h2>
 <em>r.extract.buildings</em> extracts buildings as vectors and
 calculates height statistics (minimum, maximum, average, standard
 deviation, median, percentile) and presumable number of stories using
-an nDSM-raster, NDVI-raster, and FNK-vector (Flaechennutzungskatalog).
+an nDSM-raster, NDVI-raster, and FNK-vector (Flaechennutzungskartierung).
 As certain area codes from the FNK are used, the class codes have to be
 consistent. The extraction can be based on an image segmentation using
 <a href="i.segment.html">i.segment</a>, which requires the <b>-s</b>

grass-gis-addons/m.analyse.buildings/r.extract.buildings/r.extract.buildings.py

@@ -8,7 +8,7 @@
 #
 # PURPOSE:      Extracts buildings from nDSM, NDVI and FNK
 #
-# COPYRIGHT:	(C) 2021 - 2023 by mundialis and the GRASS Development Team
+# COPYRIGHT:	(C) 2021 - 2024 by mundialis and the GRASS Development Team
 #
 # 		This program is free software under the GNU General Public
 # 		License (>=v2). Read the file COPYING that comes with GRASS
@@ -19,41 +19,43 @@
 # %Module
 # % description: Extracts buildings from nDSM, NDVI and FNK.
 # % keyword: raster
-# % keyword: statistics
-# % keyword: change detection
 # % keyword: classification
+# % keyword: statistics
+# % keyword: buildings analysis
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: ndsm
 # % type: string
 # % required: yes
-# % multiple: no
-# % label: Name of the nDSM
+# % label: Name of the nDSM raster
+# % guisection: Input
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: ndvi_raster
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name of the NDVI raster
+# % guisection: Input
 # %end
 
-# %option G_OPT_V_INPUTS
+# %option G_OPT_V_INPUT
 # % key: fnk_vector
 # % type: string
 # % required: yes
-# % multiple: no
-# % label: Vector map containing Flaechennutzungskatalog
+# % label: Vector map containing Flaechennutzungskartierung
+# % guisection: Input
+# % guidependency: fnk_column
 # %end
 
-# %option G_OPT_V_INPUTS
+# %option G_OPT_DB_COLUMN
 # % key: fnk_column
 # % type: string
 # % required: yes
 # % multiple: no
 # % label: Integer column containing FNK-code
+# % guisection: Input
 # %end
 
 # %option
@@ -63,6 +65,7 @@
 # % multiple: no
 # % label: Minimum size of buildings in sqm
 # % answer: 20
+# % guisection: Parameters
 # %end
 
 # %option
@@ -72,39 +75,43 @@
 # % multiple: no
 # % label: Maximum value of fractal dimension of identified objects (see v.to.db)
 # % answer: 2.1
+# % guisection: Parameters
 # %end
 
 # %option
-# % key: ndvi_perc
+# % key: ndvi_thresh
 # % type: integer
 # % required: no
 # % multiple: no
-# % label: ndvi percentile in vegetated areas to use for thresholding
+# % label: Define fix NDVI threshold (on a scale from 0-255) instead of estimating it from FNK
+# % guisection: Parameters
 # %end
 
 # %option
-# % key: ndvi_thresh
+# % key: ndvi_perc
 # % type: integer
 # % required: no
 # % multiple: no
-# % label: Define fix NDVI threshold (on a scale from 0-255) instead of estimating it from FNK
-# %end
-
-# %option G_OPT_MEMORYMB
+# % label: NDVI percentile in vegetated areas to use for thresholding
+# % guisection: Parameters
 # %end
 
 # %option G_OPT_V_OUTPUT
 # % key: output
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name for output vector map
 # % guisection: Output
 # %end
 
+# %option G_OPT_MEMORYMB
+# % guisection: Parallel processing
+# %end
+
 # %option G_OPT_M_NPROCS
-# % description: Number of cores for multiprocessing, -2 is the number of available cores - 1
+# % label: Number of cores for multiprocessing, -2 is the number of available cores - 1
 # % answer: -2
+# % guisection: Parallel processing
 # %end
 
 # %option
@@ -114,11 +121,13 @@
 # % multiple: no
 # % label: Define edge length of grid tiles for parallel processing
 # % answer: 1000
+# % guisection: Parallel processing
 # %end
 
 # %flag
 # % key: s
-# % description: Segment image based on nDSM and NDVI before building extraction
+# % label: Segment image based on nDSM and NDVI before building extraction
+# % guisection: Parameters
 # %end
 
 # %rules

grass-gis-addons/m.analyse.buildings/r.extract.greenroofs.worker/r.extract.greenroofs.worker.py

@@ -8,7 +8,7 @@
 #
 # PURPOSE:      Worker GRASS GIS addon to extract greenroofs
 #
-# COPYRIGHT:	(C) 2023 by mundialis and the GRASS Development Team
+# COPYRIGHT:	(C) 2023 - 2024 by mundialis and the GRASS Development Team
 #
 # 		This program is free software under the GNU General Public
 # 		License (>=v2). Read the file COPYING that comes with GRASS
@@ -19,9 +19,9 @@
 # %Module
 # % description: Worker GRASS GIS addon to extract greenroofs.
 # % keyword: raster
-# % keyword: statistics
-# % keyword: greenroofs
 # % keyword: classification
+# % keyword: statistics
+# % keyword: worker
 # %end
 
 # %option
@@ -36,66 +36,55 @@
 # % key: area
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Vector map containing area
 # %end
 
 # %option G_OPT_V_INPUT
 # % key: building_outlines
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Vector map containing outlines of buildings
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: buildings
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Raster map containing buildings
 # %end
 
-# %option G_OPT_MEMORYMB
-# %end
-
 # %option G_OPT_R_INPUT
 # % key: ndsm
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name of the nDSM raster
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: gb_ratio
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name of the GB-ratio raster
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: rg_ratio
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name of the RG-ratio raster
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: brightness
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name of the brightness raster
 # %end
 
 # %option G_OPT_R_INPUT
 # % key: ndvi
 # % type: string
 # % required: yes
-# % multiple: no
 # % label: Name of the NDVI raster
 # %end
 
@@ -152,18 +141,20 @@
 # %option G_OPT_V_OUTPUT
 # % key: output_vegetation
 # % required: yes
-# % multiple: no
 # % label: Name of output roof vegetation vector map
 # %end
 
+# %option G_OPT_MEMORYMB
+# %end
+
 # %flag
 # % key: s
-# % description: Segment image based on nDSM, NDVI and blue/green ratio before green roof extraction
+# % label: Segment image based on nDSM, NDVI and blue/green ratio before green roof extraction
 # %end
 
 # %flag
 # % key: t
-# % description: Trees are used for the selection
+# % label: Use trees for the selection
 # %end
 
 # %rules

grass-gis-addons/m.analyse.buildings/r.extract.greenroofs/r.extract.greenroofs.html

@@ -2,7 +2,7 @@ <h2>DESCRIPTION</h2>
 
 <em>r.extract.greenroofs</em> extracts vegetated roofs from aerial
 photographs, an nDSM, a building vector layer and optionally an FNK
-(Flaechennutzungskatalog) and tree vector layer. The module generates
+(Flaechennutzungskartierung) and tree vector layer. The module generates
 two outputs: The buildings outlines that have vegetated roofs
 (<em>output_buildings</em>) with an added attribute column containing
 the percentage of vegetated roof area with respect to total roof area.