readfastice | R Documentation |
Fast ice data
readfastice(
date,
product = c("circum_fast_ice", "binary_fast_ice"),
xylim = NULL,
latest = TRUE,
returnfiles = FALSE,
...,
inputfiles = NULL
)
date |
date or dates to read (can be character, POSIXt, or Date) |
product |
'circum_fast_ice' or 'binary_fast_ice' |
xylim |
extent in native space of the grid |
returnfiles |
return the file details only |
... |
reserved for future use, currently ignored |
time.resolution |
fixed, the underlying time step is 15 days |
High-resolution mapping of circum-Antarctic landfast sea ice distribution, 2000–2018.
Fast ice data on original polar stereographic grid, the product "circum_fast_ice" is 1000m resolution published in Alex Fraser et al. (2020).
RasterBrick see Details
Classified surface type:
0: pack ice or ocean
1: continent
2: islands
3: ice shelf
4: fast ice
5: manual fast ice edge
6: auto fast ice edge
0: Southern Ocean, pack ice or icebergs, corresponding to light blue in the PNG files.
1: Antarctic continent (including ice shelves), as defined using the Mosaic of Antarctica product, corresponding to white in the PNG files.
2: Fast ice, as classified from a single 20-day MODIS composite image, corresponding to dark blue in the PNG files
3: Fast ice, as classified using a single 20-day AMSR-E composite image, corresponding to yellow in the PNG files
4: Fast ice, as classified using the previous or next 20-day MODIS composite images, corresponding to red in the PNG files
http://data.aad.gov.au/aadc/metadata/metadata.cfm?entry_id=modis_20day_fast_ice
## read a particular date, it's circumpolar grid with 7 discrete numerc classes
fice <- readfastice("2015-10-01")
## hone in on Davis
ex <- c(1742836L, 3315135L, 129376L, 1136611L)
davis_ice <- crop(fice, extent(c(1742836L, 3315135L, 129376L, 1136611L)))
plot(davis_ice >= 4) #, col = c("brown", "white", grey(c(0.2, 0.5, 0.8))), breaks = c(0, 1, 3, 4, 5, 6))
## compare 5 years change
davis_ice2 <- crop(readfastice("2010-10-01"), extent(ex))
par(mfrow = c(2, 1))
plot(davis_ice >= 4)
plot(davis_ice2 >= 4)
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