Remote Sensing Product to EBV
This function processes regions of interest (polygon geometry or
GADM
unit) to integrate dissimilar remote sensing products
(RSP) into Essential biodiversity variables.
rsp2ebv(roi = NULL, ..., lyrs = NULL, path, sr, ofr = c(30, 30))
roi |
|
... |
If |
lyrs |
|
path |
|
sr |
|
ofr |
|
This function implements
'gdalUtils'
so it assumes the user
has a working GDAL on their system. From
the documentation: "If the
'gdalUtils_gdalPath'
option has
been set (usually by
'gdal_setInstallation'
), the GDAL
found in that path
will be used. If
nothing is found,
'gdal_setInstallation'
will be
executed to attempt to find a working
GDAL that has the right drivers as
specified with the 'of'
(output
format) parameter", see example below.
RasterBrick
of essential biodiversity variables (UTM crs), or
character lists suggesting GADM units/Global Products that can be
used to download rsp
(see NULL
defaults in arguments
'roi'
and 'lyrs'
).
Wilson Lara Henao <wilarhen@temple.edu> [aut, cre], Victor Gutierrez-Velez [aut]
Jetz, W., McGeoch, M. A., Guralnick, R., Ferrier, S., Beck, J., Costello, M. J., ... & Meyer, C. (2019). Essential biodiversity variables for mapping and monitoring species populations. Nature Ecology & Evolution, 3(4), 539-551.
O'Connor, B., Secades, C., Penner, J., Sonnenschein, R., Skidmore, A., Burgess, N. D., & Hutton, J. M. (2015). Earth observation as a tool for tracking progress towards the Aichi Biodiversity Targets. Remote sensing in ecology and conservation, 1(1), 19-28.
Skidmore, A. K., & Pettorelli, N. (2015). Agree on biodiversity metrics to track from space: Ecologists and space agencies must forge a global monitoring strategy. Nature, 523(7561), 403-406.
## First, we'll check to make sure there is a valid GDAL ## installation (from 'gdalUtils): ## \donttest{ ## gdalUtils::gdal_setInstallation() ## valid_install <- !is.null(getOption("gdalUtils_gdalPath")) ## } ## Warnings from GDAL/PROJ are suppressed. ## A Global Surface Water layer ('seasonality') covering the extent of a ## Colombian municipality Cartagena del Chairá is formated into an ## spatial EBV: load(system.file('cchaira_roi.RData',package = 'ecochange')) suppressWarnings( rsp_cchaira <- getrsp(roi = cchaira_roi, lyrs = 'seasonality', mc.cores = 2, path = tempdir()) ) file.exists(rsp_cchaira) #TRUE suppressWarnings( season_cchaira <- rsp2ebv(roi = cchaira_roi, lyrs = 'seasonality', path = tempdir()) ) suppressWarnings( plotebv(season_cchaira) )
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