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added new SAGA descriptions
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volaya committed Jul 24, 2017
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9 changes: 9 additions & 0 deletions python/plugins/processing/algs/saga/SagaNameDecorator.py
Expand Up @@ -33,11 +33,17 @@
'grid_gridding': 'Raster creation tools',
'grid_spline': 'Raster creation tools',
'grid_tools': 'Raster tools',
'contrib_perego': 'Raster tools',
'climate_tools': 'Climate tools',
'grid_visualisation': 'Raster visualization',
'imagery_classification': 'Image analysis',
'imagery_rga': 'Image analysis',
'imagery_segmentation': 'Image analysis',
'imagery_tools': 'Image analysis',
'imagery_maxent': 'Image analysis',
'imagery_opencv': 'Image analysis',
'imagery_vigra': 'Image analysis',
'imagery_svm': 'Image analysis',
'io_esri_e00': 'I/O',
'io_gdal': 'I/O',
'io_gps': 'I/O',
Expand All @@ -63,6 +69,8 @@
'sim_ecosystems_hugget': 'Simulation',
'sim_fire_spreading': 'Simulation',
'sim_hydrology': 'Simulation',
'sim_rivflow': 'Simulation',
'sim_qm_of_esp': 'Simulation',
'statistics_grid': 'Geostatistics',
'statistics_kriging': 'Raster creation tools',
'statistics_points': 'Geostatistics',
Expand All @@ -72,6 +80,7 @@
'ta_hydrology': 'Terrain Analysis - Hydrology',
'ta_lighting': 'Terrain Analysis - Lighting',
'ta_morphometry': 'Terrain Analysis - Morphometry',
'ta_slope_stability': 'Terrain Analysis - Morphometry',
'ta_preprocessor': 'Terrain Analysis - Hydrology',
'ta_profiles': 'Terrain Analysis - Profiles',
'table_calculus': 'Table tools',
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10 changes: 10 additions & 0 deletions python/plugins/processing/algs/saga/description/ANGMAP.txt
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ANGMAP
ta_slope_stability
ParameterRaster|DEM|Elevation|False
ParameterRaster|C|Dip grid (degrees)|True
ParameterRaster|D|Dip direction grid (degrees)|True
ParameterNumber|fB|Global structure dip (degrees)|None|None| 45.000000
ParameterNumber|fC|Global structure dip direction (degrees)|None|None| 90.000000
OutputRaster|E|Angle
OutputRaster|F|CL dipdir
OutputRaster|G|CL dip
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Accumulated Cost
grid_analysis
ParameterSelection|DEST_TYPE|Input Type of Destinations|[0] Point;[1] Grid| 0
ParameterVector|DEST_POINTS|Destinations|-1|False
ParameterRaster|DEST_GRID|Destinations|False
ParameterRaster|COST|Local Cost|False
ParameterRaster|DIR_MAXCOST|Direction of Maximum Cost|True
ParameterSelection|DIR_UNIT|Units of Direction|[0] radians;[1] degree| 0
ParameterNumber|DIR_K|K Factor|None|None| 2.000000
OutputRaster|ACCUMULATED|Accumulated Cost
OutputRaster|ALLOCATION|Allocation
ParameterNumber|THRESHOLD|Threshold for different route| 0.000000|None| 0.000000
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Accumulation Functions
grid_analysis
ParameterRaster|SURFACE|Surface|False
ParameterRaster|INPUT|Input|False
ParameterRaster|STATE_IN|State t|True
ParameterRaster|CONTROL|Operation Control|True
ParameterRaster|CTRL_LINEAR|Linear Flow Control Grid|True
OutputRaster|FLUX|Flux
OutputRaster|STATE_OUT|State t + 1
ParameterSelection|OPERATION|Operation|[0] accuflux;[1] accucapacityflux / state;[2] accufractionflux / state;[3] accuthresholdflux / state;[4] accutriggerflux / state| 0
ParameterBoolean|LINEAR|Switch to Linear Flow|True
ParameterNumber|THRES_LINEAR|Threshold Linear Flow|None|None| 0.000000
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Add Indicator Fields for Categories
table_tools
ParameterTable|TABLE|Table|False
ParameterTable|FIELD|Categories|False
ParameterTable|OUT_TABLE|Output table with field(s) deleted|True
OutputVector|OUT_SHAPES|Output shapes with field(s) deleted
@@ -0,0 +1,23 @@
Angular Distance Weighted
grid_gridding
ParameterVector|SHAPES|Points|-1|False
ParameterTable|FIELD|Attribute|False
ParameterSelection|TARGET_DEFINITION|Target Grid System|[0] user defined;[1] grid or grid system| 0
ParameterNumber|TARGET_USER_SIZE|Cellsize| 0.000000|None| 1.000000
ParameterNumber|TARGET_USER_XMIN|Left|None|None| 0.000000
ParameterNumber|TARGET_USER_XMAX|Right|None|None| 100.000000
ParameterNumber|TARGET_USER_YMIN|Bottom|None|None| 0.000000
ParameterNumber|TARGET_USER_YMAX|Top|None|None| 100.000000
ParameterSelection|TARGET_USER_FITS|Fit|[0] nodes;[1] cells| 0
ParameterRaster|TARGET_TEMPLATE|Target System|True
OutputRaster|TARGET_OUT_GRID|Target Grid
ParameterSelection|SEARCH_RANGE|Search Range|[0] local;[1] global| 0
ParameterNumber|SEARCH_RADIUS|Maximum Search Distance| 0.000000|None| 1000.000000
ParameterSelection|SEARCH_POINTS_ALL|Number of Points|[0] maximum number of nearest points;[1] all points within search distance| 0
ParameterNumber|SEARCH_POINTS_MIN|Minimum| 1|None| -1
ParameterNumber|SEARCH_POINTS_MAX|Maximum| 1|None| 20
ParameterSelection|SEARCH_DIRECTION|Direction|[0] all directions;[1] quadrants| 0
ParameterSelection|DW_WEIGHTING|Weighting Function|[0] no distance weighting;[1] inverse distance to a power;[2] exponential;[3] gaussian weighting| 1
ParameterNumber|DW_IDW_POWER|Inverse Distance Weighting Power| 0.000000|None| 2.000000
ParameterBoolean|DW_IDW_OFFSET|Inverse Distance Offset|False
ParameterNumber|DW_BANDWIDTH|Gaussian and Exponential Weighting Bandwidth| 0.000000|None| 1.000000
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Artificial Neural Network Classification (OpenCV)
imagery_opencv
ParameterMultipleInput|FEATURES|Features|3|False
ParameterBoolean|NORMALIZE|Normalize|False
ParameterVector|TRAIN_AREAS|Training Areas|2|False
ParameterTable|TRAIN_CLASS|Class Identifier|False
OutputRaster|CLASSES|Classification
ParameterNumber|ANN_LAYERS|Number of Layers| 1|None| 3
ParameterNumber|ANN_NEURONS|Number of Neurons| 1|None| 3
ParameterNumber|ANN_MAXITER|Maximum Number of Iterations| 1|None| 300
ParameterNumber|ANN_EPSILON|Error Change (Epsilon)| 0.000000|None| 0.000000
ParameterSelection|ANN_ACTIVATION|Activation Function|[0] Identity;[1] Sigmoid;[2] Gaussian| 1
ParameterNumber|ANN_ACT_ALPHA|Function's Alpha|None|None| 1.000000
ParameterNumber|ANN_ACT_BETA|Function's Beta|None|None| 1.000000
ParameterSelection|ANN_PROPAGATION|Training Method|[0] resilient propagation;[1] back propagation| 1
ParameterNumber|ANN_RP_DW0|Initial Update Value|None|None| 0.000000
ParameterNumber|ANN_RP_DW_PLUS|Increase Factor| 1.010000|None| 1.200000
ParameterNumber|ANN_RP_DW_MINUS|Decrease Factor| 0.010000| 0.990000| 0.500000
ParameterNumber|ANN_RP_DW_MIN|Lower Value Update Limit| 0.010000|None| 0.100000
ParameterNumber|ANN_RP_DW_MAX|Upper Value Update Limit| 1.010000|None| 1.100000
ParameterNumber|ANN_BP_DW|Weight Gradient Term|None|None| 0.100000
ParameterNumber|ANN_BP_MOMENT|Moment Term|None|None| 0.100000
@@ -0,0 +1,6 @@
Aspect-Slope Grid
grid_visualisation
ParameterRaster|ASPECT|Aspect|False
ParameterRaster|SLOPE|Slope|False
OutputRaster|ASPECT_SLOPE|Aspect-Slope
ParameterTable|LUT|Lookup Table|True
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Automated Cloud Cover Assessment
imagery_tools
ParameterRaster|BAND2|Landsat Band 2|False
ParameterRaster|BAND3|Landsat Band 3|False
ParameterRaster|BAND4|Landsat Band 4|False
ParameterRaster|BAND5|Landsat Band 5|False
ParameterRaster|BAND6|Landsat Band 6|False
OutputRaster|CLOUD|Cloud Cover
ParameterBoolean|FILTER|Apply post-processing filter to remove small holes|True
ParameterNumber|B56C|B56 Composite (step 6)|None|None| 225.000000
ParameterNumber|B45R|B45 Ratio: Desert detection (step 10)|None|None| 1.000000
ParameterBoolean|CSIG|Always use cloud signature (step 14)|True
ParameterBoolean|PASS2|Bypass second-pass processing, and merge warm (not ambiguous) and cold clouds|True
ParameterBoolean|SHADOW|Include a category for cloud shadows|True
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Average With Mask 1
contrib_perego
ParameterRaster|INPUT|Input|False
ParameterRaster|MASK|Mask Grid|False
OutputRaster|RESULT|AWM1 Grid
ParameterNumber|V|Mask value|None|None| 1.000000
ParameterNumber|RX|Radius X| 1|None| 1
ParameterNumber|RY|Radius Y| 1|None| 1
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Average With Mask 2
contrib_perego
ParameterRaster|INPUT|Input|False
ParameterRaster|MASK|Mask Grid|False
OutputRaster|RESULT|AWM2 Grid
ParameterNumber|V|Mask value|None|None| 1.000000
ParameterNumber|RX|Radius X| 1|None| 1
ParameterNumber|RY|Radius Y| 1|None| 1
@@ -0,0 +1,7 @@
Average With Thereshold 1
contrib_perego
ParameterRaster|INPUT|Input|False
OutputRaster|RESULT|AWT Grid
ParameterNumber|RX|Radius X| 1|None| 1
ParameterNumber|RY|Radius Y| 1|None| 1
ParameterNumber|THRESH|Threshold|None|None| 2.000000
@@ -0,0 +1,7 @@
Average With Thereshold 2
contrib_perego
ParameterRaster|INPUT|Input|False
OutputRaster|RESULT|AWT Grid
ParameterNumber|RX|Radius X| 1|None| 1
ParameterNumber|RY|Radius Y| 1|None| 1
ParameterNumber|THRESH|Threshold|None|None| 2.000000
@@ -0,0 +1,7 @@
Average With Thereshold 3
contrib_perego
ParameterRaster|INPUT|Input|False
OutputRaster|RESULT|AWT Grid
ParameterNumber|RX|Radius X| 1|None| 1
ParameterNumber|RY|Radius Y| 1|None| 1
ParameterNumber|THRESH|Threshold|None|None| 2.000000
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Basic Terrain Analysis
ta_compound
ParameterRaster|ELEVATION|Elevation|False
OutputRaster|SHADE|Analytical Hillshading
OutputRaster|SLOPE|Slope
OutputRaster|ASPECT|Aspect
OutputRaster|HCURV|Plan Curvature
OutputRaster|VCURV|Profile Curvature
OutputRaster|CONVERGENCE|Convergence Index
OutputRaster|SINKS|Closed Depressions
OutputRaster|FLOW|Total Catchment Area
OutputRaster|WETNESS|Topographic Wetness Index
OutputRaster|LSFACTOR|LS-Factor
OutputVector|CHANNELS|Channel Network
OutputVector|BASINS|Drainage Basins
OutputRaster|CHNL_BASE|Channel Network Base Level
OutputRaster|CHNL_DIST|Channel Network Distance
OutputRaster|VALL_DEPTH|Valley Depth
OutputRaster|RSP|Relative Slope Position
ParameterNumber|THRESHOLD|Channel Density| 1|None| 5
@@ -0,0 +1,5 @@
Binary Erosion-Reconstruction
grid_filter
ParameterRaster|INPUT_GRID|Input Grid|False
OutputRaster|OUTPUT_GRID|Output Grid
ParameterNumber|RADIUS|Filter Size (Radius)|None|None| 3
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Bioclimatic Variables
climate_tools
ParameterMultipleInput|TMEAN|Mean Temperature|3|False
ParameterMultipleInput|TMIN|Minimum Temperature|3|False
ParameterMultipleInput|TMAX|Maximum Temperature|3|False
ParameterMultipleInput|P|Precipitation|3|False
OutputRaster|BIO_01|Annual Mean Temperature
OutputRaster|BIO_02|Mean Diurnal Range
OutputRaster|BIO_03|Isothermality
OutputRaster|BIO_04|Temperature Seasonality
OutputRaster|BIO_05|Maximum Temperature of Warmest Month
OutputRaster|BIO_06|Minimum Temperature of Coldest Month
OutputRaster|BIO_07|Temperature Annual Range
OutputRaster|BIO_08|Mean Temperature of Wettest Quarter
OutputRaster|BIO_09|Mean Temperature of Driest Quarter
OutputRaster|BIO_10|Mean Temperature of Warmest Quarter
OutputRaster|BIO_11|Mean Temperature of Coldest Quarter
OutputRaster|BIO_12|Annual Precipitation
OutputRaster|BIO_13|Precipitation of Wettest Month
OutputRaster|BIO_14|Precipitation of Driest Month
OutputRaster|BIO_15|Precipitation Seasonality
OutputRaster|BIO_16|Precipitation of Wettest Quarter
OutputRaster|BIO_17|Precipitation of Driest Quarter
OutputRaster|BIO_18|Precipitation of Warmest Quarter
OutputRaster|BIO_19|Precipitation of Coldest Quarter
ParameterSelection|SEASONALITY|Temperature Seasonality|[0] Coefficient of Variation;[1] Standard Deviation| 1
@@ -0,0 +1,16 @@
Boosting Classification (OpenCV)
imagery_opencv
ParameterMultipleInput|FEATURES|Features|3|False
ParameterBoolean|NORMALIZE|Normalize|False
ParameterVector|TRAIN_AREAS|Training Areas|-1|False
ParameterTable|TRAIN_CLASS|Class Identifier|False
OutputRaster|CLASSES|Classification
ParameterNumber|MAX_DEPTH|Maximum Tree Depth| 1|None| 10
ParameterNumber|MIN_SAMPLES|Minimum Sample Count| 2|None| 2
ParameterNumber|MAX_CATEGRS|Maximum Categories| 1|None| 10
ParameterBoolean|1SE_RULE|Use 1SE Rule|True
ParameterBoolean|TRUNC_PRUNED|Truncate Pruned Trees|True
ParameterNumber|REG_ACCURACY|Regression Accuracy| 0.000000|None| 0.010000
ParameterNumber|WEAK_COUNT|Weak Count| 0|None| 100
ParameterNumber|WGT_TRIM_RATE|Weight Trim Rate| 0.000000| 1.000000| 0.950000
ParameterSelection|BOOST_TYPE|Boost Type|[0] Discrete AdaBoost;[1] Real AdaBoost;[2] LogitBoost;[3] Gentle AdaBoost| 1
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Categorical Coincidence
statistics_grid
ParameterMultipleInput|GRIDS|Grids|3|False
OutputRaster|CATEGORIES|Number of Categories
OutputRaster|COINCIDENCE|Coincidence
OutputRaster|MAJ_COUNT|Dominance of Majority
OutputRaster|MAJ_VALUE|Value of Majority
ParameterNumber|RADIUS|Radius [Cells]| 0|None| 0
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Change Data Storage
grid_tools
ParameterRaster|INPUT|Grid|False
OutputRaster|OUTPUT|Converted Grid
ParameterSelection|TYPE|Data storage type|[0] bit;[1] unsigned 1 byte integer;[2] signed 1 byte integer;[3] unsigned 2 byte integer;[4] signed 2 byte integer;[5] unsigned 4 byte integer;[6] signed 4 byte integer;[7] 4 byte floating point number;[8] 8 byte floating point number| 7
ParameterNumber|OFFSET|Offset|None|None| 0.000000
ParameterNumber|SCALE|Scale|None|None| 1.000000
@@ -0,0 +1,10 @@
Close Gaps with Stepwise Resampling
grid_tools
ParameterRaster|INPUT|Grid|False
ParameterRaster|MASK|Mask|True
OutputRaster|RESULT|Result
ParameterSelection|RESAMPLING|Resampling|[0] Nearest Neighbour;[1] Bilinear Interpolation;[2] Bicubic Spline Interpolation;[3] B-Spline Interpolation| 3
ParameterNumber|GROW|Grow Factor| 1.000000|None| 2.000000
ParameterBoolean|PYRAMIDS|Use Pyramids|False
ParameterSelection|START|Start Size|[0] grid cell size;[1] user defined size| 0
ParameterNumber|START_SIZE|User Defined Size| 0.000000|None| 1.000000
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Cluster Analysis (Shapes)
table_calculus
ParameterVector|INPUT|Shapes|-1|False
OutputVector|RESULT|Result
ParameterTable|FIELDS|Attributes|False
ParameterTable|CLUSTER|Cluster|False
ParameterTable|STATISTICS|Statistics|False
ParameterSelection|METHOD|Method|[0] Iterative Minimum Distance (Forgy 1965);[1] Hill-Climbing (Rubin 1967);[2] Combined Minimum Distance / Hillclimbing| 1
ParameterNumber|NCLUSTER|Clusters| 2|None| 10
ParameterBoolean|NORMALISE|Normalise|False
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Cluster Analysis
table_calculus
ParameterTable|INPUT|Table|False
ParameterTable|RESULT|Result|True
ParameterTable|FIELDS|Attributes|False
ParameterTable|CLUSTER|Cluster|False
ParameterTable|STATISTICS|Statistics|False
ParameterSelection|METHOD|Method|[0] Iterative Minimum Distance (Forgy 1965);[1] Hill-Climbing (Rubin 1967);[2] Combined Minimum Distance / Hillclimbing| 1
ParameterNumber|NCLUSTER|Clusters| 2|None| 10
ParameterBoolean|NORMALISE|Normalise|False
10 changes: 10 additions & 0 deletions python/plugins/processing/algs/saga/description/Concentration.txt
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Concentration
sim_hydrology
ParameterRaster|MASK|Mask|False
ParameterRaster|GRAD|Gradient|False
OutputRaster|CONC|Concentration
ParameterNumber|CONC_IN|Inlet Concentration| 0.000000|None| 5.000000
ParameterNumber|CONC_OUT|Outlet Concentration| 0.000000|None| 3.000000
ParameterNumber|CONC_E|Concentration Approximation Threshold| 0.000000|None| 0.001000
ParameterNumber|GRAD_MIN|Minimum Gradient| 0.000000|None| 0.000000
ParameterSelection|NEIGHBOURS|Neighbourhood|[0] Moore (8);[1] Neumann (4);[2] Optimised| 0
@@ -0,0 +1,12 @@
Confusion Matrix (Polygons / Grid)
imagery_classification
ParameterRaster|GRID|Classification|False
ParameterTable|GRID_LUT|Look-up Table|True
ParameterTable|GRID_LUT_MIN|Value|False
ParameterTable|GRID_LUT_MAX|Value (Maximum)|False
ParameterTable|GRID_LUT_NAM|Name|False
ParameterVector|POLYGONS|Polygons|-1|False
ParameterTable|FIELD|Classes|False
ParameterTable|CONFUSION|Confusion Matrix|False
ParameterTable|CLASSES|Class Values|False
ParameterTable|SUMMARY|Summary|False
@@ -0,0 +1,18 @@
Confusion Matrix (Two Grids)
imagery_classification
ParameterRaster|ONE|Classification 1|False
ParameterTable|ONE_LUT|Look-up Table|True
ParameterTable|ONE_LUT_MIN|Value|False
ParameterTable|ONE_LUT_MAX|Value (Maximum)|False
ParameterTable|ONE_LUT_NAM|Name|False
ParameterRaster|TWO|Classification 2|False
ParameterTable|TWO_LUT|Look-up Table|True
ParameterTable|TWO_LUT_MIN|Value|False
ParameterTable|TWO_LUT_MAX|Value (Maximum)|False
ParameterTable|TWO_LUT_NAM|Name|False
OutputRaster|COMBINED|Combined Classes
ParameterBoolean|NOCHANGE|Report Unchanged Classes|True
ParameterTable|CONFUSION|Confusion Matrix|False
ParameterSelection|OUTPUT|Output as...|[0] cells;[1] percent;[2] area| 0
ParameterTable|CLASSES|Class Values|False
ParameterTable|SUMMARY|Summary|False
@@ -0,0 +1,10 @@
Connectivity Analysis
grid_filter
ParameterRaster|INPUT_GRID|Input Binary Grid|False
OutputRaster|FILTERED_MASK|Filtered Image
ParameterBoolean|FILTER|Apply Filter?|True
ParameterNumber|SIZE|Filter Size (Radius)|None|None| 3
OutputRaster|SYMBOLIC_IMAGE|Symbolic Image
OutputVector|OUTLINES|Outlines
ParameterBoolean|BORDER_PIXEL_CENTERS|Pixel Centers?|False
ParameterBoolean|REMOVE_MARGINAL_REGIONS|Remove Border Regions?|False

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