All Questions
Tagged with large-datasets raster
15 questions
2
votes
0
answers
245
views
How to build raster file from large folder tiles (256x256), which has 70.000 file tiles
First, I'd like to mention that I'm new to working with GIS, so please forgive my inexperience.
I have map folder with structure: zoom level contains multi tile image files (256x256),ex: folder zoom ...
3
votes
2
answers
648
views
What is the canonical way to perform raster calculations using R stars?
I have a data cube that I am handling in the R stars package. It has 3 dimensions (latitude, longitude and time) and 2 attributes (northwards and eastwards components of wind). A dummy equivalent ...
2
votes
2
answers
250
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Zonal statistics USFS tree cover by census block
I want average tree cover for every census block. I have a file of census blocks, and I have a USFS tree cover file from USFS Tree Canopy Cover Datasets that looks like this:
I'm trying to use zonal ...
4
votes
2
answers
2k
views
Calculating max shardSize and fileDimensions to avoid tiling large raster exports in Earth Engine
I am exporting a very large raster in Google Earth Engine to my Google Drive. I am trying to keep my exported raster to 1 file to avoid additional processing to merge the tiles (e.g. GDAL merge in ...
0
votes
2
answers
2k
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Exporting large rasters in Google Earth Engine
When exporting large raster data in Google Earth Engine to your Google Drive, is there a function that prevents the export from automatically tiling into smaller files, or even decreases the number of ...
1
vote
0
answers
283
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Extracting or masking of very large raster to reduce file size on disk?
I have a very large 8-band raster (339806 x 61704) that I cannot load to memory to manipulate (R, raster:canProcessInMemory indicates I need 4999.16 GB of ram to load this file). However, I only need ...
1
vote
1
answer
3k
views
Saving raster to BigTIFF in QGIS?
Using QGIS 3.4, I am trying to merge multiple DEMs downloaded from the National Map Viewer that are in ArcGRID format (Arc/Info Binary Grid). The output will be a large file so I can't use any of the ...
0
votes
0
answers
1k
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Merging multiple rasters (Very large dataset)
I am working on project to create a DSM raster for whole Kentucky. I will have over 46000 tiff tiles and each one is about 10 Mb and one band. Normally, I use Mosaic to New Raster Tool but this time ...
3
votes
2
answers
2k
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Calculating time efficient seasonal means from raster bricks?
I'm starting from a Rasterbrick like that called r.brick:
class : RasterBrick
dimensions : 17, 19, 323, 21915 (nrow, ncol, ncell, nlayers)
resolution : 0.11, 0.11 (x, y)
extent : 8....
0
votes
0
answers
105
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Why does myRaster[1] <- 5 takes a very long time for a large raster?
I have a raster, which is not very big, only a few hundred megabytes compressed, but it has about 10 billion values, each stored in 1 byte (0..255). Uncompressed it would take about 10gb (lots of ...
0
votes
2
answers
1k
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Processing a large number of raster files in QGIS
I have a large number (100,000+) of raster files I need to process in QGIS (exporting to tiff, clipping to polygon layers, etc), for a total of approx 500GB. Can anyone advise if there's some way of ...
1
vote
0
answers
977
views
QGIS: Raster to vector too large
I am working with a DTM of 5x5m for a large area (already clipped it). I calculated the slopes and want to maintain only the slopes above 2 degrees. I already used the raster calculator to set all ...
1
vote
2
answers
3k
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How to efficiently extract time series from a very large multi-band GeoTIFF in R?
First some context: I want to run a time-series analysis function that is only available in R for a continental sized multi-band time-series raster, which is stored in disk in GeoTIFF format, that was ...
3
votes
1
answer
900
views
Importing large .asc files into QGIS
I've been given two .asc files containing a 1m raster data from a LiDAR survey. I only have access to QGIS.2.14.1 (which I'am using for the 1st time only having previous experience with ArcGIS) and I ...
8
votes
2
answers
721
views
Efficient raster sampling of billions of polygons (bounding boxes)
How can a raster be computed efficiently (in Python), given a set consisting of billions of bounding boxes (read sequentially from a file), and given that the raster values for each cell should give ...