This issue is to track the requirements for & progress made on displaying Dr. Chunli Dai's pan-Arctic elevation differencing products from the ArcticDEM
Data qualities & workflow requirements
The data comprises 2km x 2km GeoTiff tiles that cover the Arctic
GeoTiffs are 221x221 pixels, 1 band per GeoTiff, CRS EPSG:3413
Shapefiles for all tiles available upon request
There are six layers available (see plots below), not all will be visualized. Here is an example of the data available for each tile:
41_16_1_1_01_01_listused.txt: a list of ArcticDEM strip file names used for change estimation.
41_16_1_1_01_01_jump.tif: elevation change in meters.
41_16_1_1_01_01_jumpstd.tif: elevation change uncertainty in meters.
41_16_1_1_01_01_eventtimeT1.tif: date of the closest measurement before detected change. The date format is YYYYMMDD
41_16_1_1_01_01_eventtimeT2.tif: date of the closest measurement after change.
41_16_1_1_01_01_nov.tif: The number of overlapping DEMs used for each pixel.
41_16_1_1_01_01_bitmask.tif: Integer flag of whether the estimated change has high confidence level. 1 is good, and 0 is bad.
The most important layer to show (likely the first one we will visualize) is the elevation change in meters.
The tiles overlap somewhat, and we should display data from just one of the tiles in the areas of overlap (rather than taking some aggregate of pixels at the same location)
The best way to determine which tile is preferred in areas of overlap is to read in data from another set of 2km x 2km tiles: for example, we could use the "number of overlapping DEMs" tiles to determine which of the overlapping tiles has the most DEMs overall.
The workflow will involve deduplicating areas of overlap, as described above, in addition to essentially re-tiling the data to correspond with an OGC Two Dimensional Tile Matrix Set.
There will be edge effects at the intersection of the 2km x 2km tiles just because of the way the tiles were produced, we may not be able to resolve these artifacts during the workflow
This issue is to track the requirements for & progress made on displaying Dr. Chunli Dai's pan-Arctic elevation differencing products from the ArcticDEM
Data qualities & workflow requirements
The data comprises 2km x 2km GeoTiff tiles that cover the Arctic
GeoTiffs are 221x221 pixels, 1 band per GeoTiff, CRS EPSG:3413
Shapefiles for all tiles available upon request
There are six layers available (see plots below), not all will be visualized. Here is an example of the data available for each tile:
41_16_1_1_01_01_listused.txt
: a list of ArcticDEM strip file names used for change estimation.41_16_1_1_01_01_jump.tif
: elevation change in meters.41_16_1_1_01_01_jumpstd.tif
: elevation change uncertainty in meters.41_16_1_1_01_01_eventtimeT1.tif
: date of the closest measurement before detected change. The date format isYYYYMMDD
41_16_1_1_01_01_eventtimeT2.tif
: date of the closest measurement after change.41_16_1_1_01_01_nov.tif
: The number of overlapping DEMs used for each pixel.41_16_1_1_01_01_bitmask.tif
: Integer flag of whether the estimated change has high confidence level. 1 is good, and 0 is bad.The most important layer to show (likely the first one we will visualize) is the elevation change in meters.
The tiles overlap somewhat, and we should display data from just one of the tiles in the areas of overlap (rather than taking some aggregate of pixels at the same location)
The best way to determine which tile is preferred in areas of overlap is to read in data from another set of 2km x 2km tiles: for example, we could use the "number of overlapping DEMs" tiles to determine which of the overlapping tiles has the most DEMs overall.
The workflow will involve deduplicating areas of overlap, as described above, in addition to essentially re-tiling the data to correspond with an OGC Two Dimensional Tile Matrix Set.
There will be edge effects at the intersection of the 2km x 2km tiles just because of the way the tiles were produced, we may not be able to resolve these artifacts during the workflow
41_16_1_1_01_01_jump.tif
41_16_1_1_01_01_eventtimeT1.tif & 41_16_1_1_01_01_eventtimeT2.tif
41_16_1_1_01_01_nov.tif
Other features that would aid in visualizing this data
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