Revision 5c833657
Added by Rick Reeves about 13 years ago
- ID 5c833657f2f5a7b0e8678d380ff2b51940fa7e6d
| terrain/rscripts/SampleDemDiffCols.r | ||
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# April 29, 2011 |
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############################################################################################## |
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# |
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#ExtractDemRasterSubimages <- function(sFirstImageName,sSecondImageName) |
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SampleDemDiffCols <- function() |
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{
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require(raster) |
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require(rgdal) |
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#inputFirstRaster <- raster(sFirstImageName)
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#inputRasterMerge <- raster(sFirstImageName)
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#inputSecondRaster <- raster(sSecondImageName) |
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inputFirstRaster <- raster("mergeCgiarAsterBdyTuesdayClip.tif")
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inputSecondRaster <- raster("CDemMosTuesdayClipMergeSpace.tif")
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inputRasterAster <- raster("/data/project/organisms/rcr/ValidateBoundary/mergeCgiarAsterBdyTuesdayClip.tif")
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inputRasterSRTM <- raster("/data/project/organisms/rcr/ValidateBoundary/mergeCgiarAsterBdyTuesdayClip.tif")
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inputRasterMerge <- raster("/data/project/organisms/rcr/ValidateBoundary/mergeCgiarAsterBdyTuesdayClip.tif")
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inputRasterCDEM <- raster("/data/project/organisms/rcr/ValidateBoundary/CDemMosTuesdayClipMergeSpace.tif")
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# |
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# Difference image for entire merged image takes a while to create, |
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# so we created it once, now read it back in. |
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# |
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rDeltaWhole <- raster("DeltaEntireImage.tif")
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rDeltaWhole <- raster("/data/project/organisms/rcr/ValidateBoundary/DeltaEntireImage.tif")
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rDeltaWhole@data@values <-getValues(rDeltaWhole) |
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# Create extent objects used to extract raster subimges. |
| ... | ... | |
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# and 55.0 to 64.00 degrees (north) latitude. |
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# the ASTER and SRTM/CGIAR image components are merged at the 60 Deg N Latitude line. |
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#eTestAreaExtent <- extent(-135.2,-100.2, 59.997,60.001) # Creates a 5 row subimage |
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eTestAreaExtent <- extent(-135.2,-100.2, 59.995,60.005) # Creates a 12 row subimage |
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eTestAreaExtentAster <- extent(-135.0,-105.0, 59.990,60.00) # Creates 12 row subimage North of border (All ASTER) |
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eTestAreaExtentBorder <- extent(-135.0,-105.0, 59.995,60.005) # Creates a 12 row subimage centered on border |
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eTestAreaExtentSRTM <- extent(-135.0,-105.0, 60.00,60.010) # Creates a 12 row subimage South of border (All SRTM) |
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# Extract a sub image corresponding to the selected extent. |
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# Two different alternatives: |
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# The extract() function returns a vector of cell values, |
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# the crop() function returns a complete raster* object. |
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vEdgeRegionFirst <- extract(inputFirstRaster,eTestAreaExtent) |
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rEdgeRegionFirst <- crop(inputFirstRaster,eTestAreaExtent) |
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vEdgeRegionSecond <- extract(inputSecondRaster,eTestAreaExtent) |
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rEdgeRegionSecond <- crop(inputSecondRaster,eTestAreaExtent) |
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vEdgeRegionAster <- extract(inputRasterMerge,eTestAreaExtentAster) |
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rEdgeRegionAster <- crop(inputRasterMerge,eTestAreaExtentAster) |
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vEdgeRegionAsterDelta <- extract(rDeltaWhole,eTestAreaExtentAster) |
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rEdgeRegionAsterDelta <- crop(rDeltaWhole,eTestAreaExtentAster) |
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vEdgeRegionBorder <- extract(inputRasterCDEM,eTestAreaExtentBorder) |
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rEdgeRegionBorder <- crop(inputRasterMerge,eTestAreaExtentBorder) |
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vEdgeRegionBorderDelta <- extract(rDeltaWhole,eTestAreaExtentBorder) |
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rEdgeRegionBorderDelta <- crop(rDeltaWhole,eTestAreaExtentBorder) |
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vEdgeRegionSrtm <- extract(inputRasterMerge,eTestAreaExtentSRTM) |
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rEdgeRegionSrtm <- crop(inputRasterMerge,eTestAreaExtentSRTM) |
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vEdgeRegionSRTMDelta <- extract(rDeltaWhole,eTestAreaExtentSRTM) |
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rEdgeRegionSRTMDelta <- crop(rDeltaWhole,eTestAreaExtentSRTM) |
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# Important: In order for the image subtraction to work, the extents |
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# of the two images must be IDENTICAL. I used ArcMap GIS Raster Crop By Mask |
| ... | ... | |
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# Compute the difference image for the entire study area, and for the region along |
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# the boundary (narrow, maybe 10 pixels either side) |
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rDeltaEdge <- rEdgeRegionFirst - rEdgeRegionSecond
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rDeltaEdge <- rEdgeRegionBorder - rEdgeRegionBorderDelta
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# Create this image one time, read it in thereafter. |
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#rDeltaWhole <- inputFirstRaster - inputSecondRaster
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#rDeltaWhole <- inputRasterMerge - inputRasterCDEM
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#writeRaster(rDeltaWhole,filename="DeltaEntireImage.tif",format="GTiff",datatype="INT2S",overwrite=TRUE) |
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# Using the large difference image, compute subimagee statistics for areas |
| ... | ... | |
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# get a vector of random column index numbers, constrained by column dimension of image |
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# Loop three times, sampling pixel pairs from above, below, across the border |
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nColsToGet <- 1000
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nColsToGet <-20000
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iDiffVecNorth <- vector(mode="integer",length=nColsToGet) |
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iDiffVecBorder <- vector(mode="integer",length=nColsToGet) |
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iDiffVecSouth <- vector(mode="integer",length=nColsToGet) |
| ... | ... | |
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# Remember, we are sampling a PAIR of pixels (same column from two adjacent rows) |
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colsToGet <-sample(1:inputFirstRaster@ncols,nColsToGet)
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colsToGet <-sample(1:inputRasterMerge@ncols,nColsToGet)
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message("North Sample")
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#browser() |
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# debug |
| ... | ... | |
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{
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rColVec <- cellFromRowCol(rDeltaWhole,iFirstRow:(iFirstRow+1),iNextCol:iNextCol) |
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neighborCells <- rDeltaWhole@data@values[rColVec] |
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iDiffVecNorth[iCtr] <- neighborCells[1] - neighborCells[2]
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iDiffVecNorth[iCtr] <- neighborCells[2] - neighborCells[1]
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iCtr = iCtr + 1 |
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} |
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# |
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message("Border Sample")
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message("Border Sample - different columns")
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#browser() |
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#colsToGet <-sample(1:inputFirstRaster@ncols,nColsToGet)
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colsToGet <-sample(1:inputRasterMerge@ncols,nColsToGet)
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iFirstRow <- 6 # straddle the border of 12 row center section |
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iCtr = 1 |
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for (iNextCol in colsToGet) |
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{
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rColVec <- cellFromRowCol(rDeltaEdge,iFirstRow:(iFirstRow+1),iNextCol:iNextCol) |
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neighborCells <- rDeltaEdge@data@values[rColVec] |
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iDiffVecBorder[iCtr] <- neighborCells[1] - neighborCells[2]
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iDiffVecBorder[iCtr] <- neighborCells[2] - neighborCells[1]
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iCtr = iCtr + 1 |
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} |
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# |
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message("South Sample")
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message("South Sample - different columns")
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#browser() |
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#colsToGet <-sample(1:inputFirstRaster@ncols,nColsToGet)
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colsToGet <-sample(1:inputRasterMerge@ncols,nColsToGet)
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iFirstRow <- 3600 |
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iCtr = 1 |
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for (iNextCol in colsToGet) |
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{
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rColVec <- cellFromRowCol(rDeltaWhole,iFirstRow:(iFirstRow+1),iNextCol:iNextCol) |
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neighborCells <- rDeltaWhole@data@values[rColVec] |
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iDiffVecSouth[iCtr] <- neighborCells[1] - neighborCells[2]
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iDiffVecSouth[iCtr] <- neighborCells[2] - neighborCells[1]
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iCtr = iCtr + 1 |
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} |
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# Compute iDiffVecs on either side of border, and across it. |
| ... | ... | |
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message("hit key to write output images...")
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browser() |
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# Write the extracted subimage and its difference image to disk |
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# For now, use 'gdalinfo' to check image statistics |
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writeRaster(rEdgeRegionFirst,filename="EdgeRegionFirst.tif",format="GTiff",datatype="INT2S",overwrite=TRUE) |
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writeRaster(rEdgeRegionAsterCgiar,filename="EdgeRegionSecond.tif",format="GTiff",datatype="INT2S",overwrite=TRUE) |
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writeRaster(rDelta,filename="EdgeRegionDelta.tif",format="GTiff",datatype="INT2S",overwrite=TRUE) |
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writeRaster(rEdgeRegionBorder,filename="/data/project/organisms/rcr/ValidateBoundary/EdgeRegionFirstDC.tif",format="GTiff",datatype="INT2S",overwrite=TRUE) |
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writeRaster(rEdgeRegionBorderDelta,filename="/data/project/organisms/rcr/ValidateBoundary/EdgeRegionSecondDC.tif",format="GTiff",datatype="INT2S",overwrite=TRUE) |
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writeRaster(rDeltaEdge,filename="/data/project/organisms/rcr/ValidateBoundary/EdgeRegionDeltaDC.tif",format="GTiff",datatype="INT2S",overwrite=TRUE) |
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} |
Also available in: Unified diff
Version runs correctly, though the CDEM edge input image might not be the latest and best. Recheck inputs