Terrain Analysis System
Time: Thu Jan 18 09:03:14 EST 2001
Dataset: IFSAR p23s1 x16 undersampled
Related imageryContoursShaded ReliefLandsat Image3D Surface
PreprocessingThe following are preprocessed
datasets.
Original DTEDOriginal ImagePreprocessed DTED
Regional Parameter AnalysisThe following are
regional parameter analysis results.
This includes facts for low elevation, high elevation, low slope and high slope segmented objects.
This also includes the regional drainage maps:
DrainageWatershedsStrahler Channel Ordering
Regional Landform ProcessingMountains
Since large high slope regions were found, infer the possible presence of mountains. Looking for mountains.Loading the high slope segment objects generated by preprocessing.
Collecting any high sloped objects with large areas and minimum elevations above the regional mean. These will be candidates for mountains. The remaining high sloped objects will be considered possible outliers.Mountain candidates have been found. Outlier candidates have been found. A total of 7 mountain segment objects have been generated.
A total of 26 outlier segment objects have been generated.
Growing each outlier segment by 4 units to see if they are close to the mountains. Any such outlier will be reclassified as mountain.
outlier ID:2 is being reclassified.
outlier ID:3 is being reclassified.
outlier ID:13 is being reclassified.
outlier ID:16 is being reclassified.
outlier ID:17 is being reclassified.
outlier ID:18 is being reclassified.
outlier ID:19 is being reclassified.
outlier ID:20 is being reclassified.
outlier ID:21 is being reclassified.
outlier ID:22 is being reclassified.
outlier ID:23 is being reclassified.
outlier ID:24 is being reclassified.
outlier ID:26 is being reclassified.
A total of 20 mountain objects
have been generated.
A total of 13 outlier objects
have been generated.
Alluvial Slopes
Since large low slope areas were found, infer the possible presence of alluvialSlopes. Looking for alluvialSlopes.
Segmenting smooth areas (low variance) in non-mountaneous areas into objects. A total of 10 such areas have been segmented. Each of these areas has been expanded by 3 units for testing proximity to mountains. These regions will be interpreted as alluvial slopes. Alluvial slope objects were found.
A total of 2 alluvial slope objects
have been generated.
Plains
From the presence of low slopes infer the possible presence of plains. Looking for plains.
Segmenting regions of very low elevation variance.
There are 4 such regions.
Region ID 2 is large enough to be a plain. A total of 1 plain objects
have been generated.
Alluvial Slope Floors
Alluvial slopes have been found, infer the possible presence of alluvialSlope floors. Looking for alluvial slope floors.
Segmenting into objects regions of low slope and low curvature.
1 such objects have been generated. From these objects the ones that are large enough and significantly overlap an alluvial slope region will be interpreted as an alluvial slope floor. Segment ID1 is an alluvial slope floor.
A total of 1 alluvial slope floor objects
have been generated.
Alluvial Fans
From the presence of both mountains and alluvial slopes infer the possible presence of alluvial fans.
Segmenting for possible alluvial deposit regions.
Applying plan profile derivative to elevation data using 31x31 window.
Thresholding for only negative curvature representing possible fan regions.
Focusing only on alluvial slope regions where fans would be found.
Segmenting thresholded results into objects.
A total of 75 segment objects have been
generated.Segments generated above have been further thresholded and resegmented for high elevations thus representing the apex regions of the fans. Segments with apexes that overlap mountains (expanded by 4 units) have been identified. Segments with apexes that overlap outliers (expanded by 4 units) have been identified. A total of 18 likely alluvial fan objects
have been generated.
A summary description of the alluvial fan landform can be found in the HTD. The significance of this landform is also described. For other examples of fans access the HTD pattern indicator and image file pages.
Washes
From the presence of alluvial slopes infer the possible presence of washes. Looking for washes.
Segmenting for possible wash regions.
Applying plan profile derivative to elevation data using 31x31 window.
Thresholding for only positive curvature representing possible wash regions.
Focusing only on alluvial slope regions where washes would be found.
Loading drainage overlay. Segmenting thresholded results into objects.
A total of 44 segment objects have been
generated.Segments with significant drainage content have been identified.A total of 18 likely wash objects
have been generated.
A summary description of the wash landform can be found in the HTD. The significance of this landform is also described. For other examples of drainage landforms access the HTD pattern indicator and image file pages.
Playas
From the presence of alluvial slope floors infer the possible presence of playas. Looking for playas.
Loading the radar image.
This image is being smoothed and then thresholded for very low intensities.
Consider only regions in alluvial slopes. Segment these regions. Perform region joining via dialation. Loading the drainage overlay. A total of 163 segment objects have been
generated.Segment ID3 is large enough, significantly overlaps an alluvial floor, and contains a significant accumulated drainage, 67.55039140277664 percent of the maximum regional value.
A total of 1 playa objects
have been generated.
A summary description of the playa landform can be found in the HTD. The significance of this landform is also described including trafficability considerations. For other examples of playas access the HTD pattern indicator and image file pages.
Inselbergs
From the presence of alluvial slopes and mountain outliers infer the possible presence of inselbergs. Looking for inselbergs.
Separately marking mountains and alluvialSlopes from their overlays and copying them into a single overlay.
High sloped objects at low elevations with large areas have been found and are potential Inslebergs.
These objects have been collected and placed in the overlay with the mountain and alluvialSlope objects.
This overlay has been resegmented so that each object has a unique region ID.
There are 6 mountain, alluvialSlope and potential inselberg objects.
The region adjacency relationships for these objects are being generated.
The potential inselberg objects will sit in alluvialSlope regions.
Object 4 was found to be surrounded by a alluvialSlope object.
A total of 1 inselberg objects
have been generated.
A summary description of the inselberg landform can be found in the HTD. The significance of this landform is also described. For other examples of inslebergs access the HTD pattern indicator and image file pages.