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Description
Issue description
Reproducible example
## PLEASE DELETE AND WRITE YOUR OWN
library(MODIStsp)
library(osmdata)
# I expect the below code to give me tiles covering China but gives me a default tile which
# I don't know which geographical region it is
china_bb <- osmdata::getbb("China")
MODIStsp(gui = FALSE,
selcat = "Ecosystem Variables - Vegetation Indices",
selprod = "Vegetation_Indexes_16Days_1Km (M*D13A2)",
bbox = china_bb,
sensor = "Terra",
bandsel = "EVI",
download_server = "http",
user = "XXXX" ,
password = "XXXX",
start_date = "2001.02.18",
end_date = "2001.12.31",
out_projsel = "User Defined",
output_proj = "4326",
out_res_sel = "Native",
out_res = 926.6254,
resampling = "near",
reprocess = FALSE,
delete_hdf = TRUE,
nodata_change = FALSE,
scale_val = TRUE,
out_format = "GTiff",
compress = "LZW",
out_folder = "D:/modis",
out_folder_mod = "D:/modis_hdf"
)
Expected and actual behavior
# If I read a single file, as follows, I get a tile which is not China.
library(raster)
temp <- raster('D:/modis/VI_16Days_1Km_v6/EVI/MOD13A2_EVI_2000_049.tif')
plot(temp)
# This issue is also being asked on SO here
#https://stackoverflow.com/questions/66326127/using-a-shapefile-with-modistsp-r-package
#https://stackoverflow.com/questions/66201309/visualising-modis-vegetation-layers-for-a-
specific-country-using-r-package-modi
System information
R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server 2012 R2 x64 (build 9600)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] osmdata_0.1.5 MODIStsp_2.0.5
loaded via a namespace (and not attached):
[1] Rcpp_1.0.5 compiler_4.0.2 pillar_1.4.6 xts_0.12.1 bitops_1.0-6 class_7.3-17
[7] tools_4.0.2 lubridate_1.7.9 jsonlite_1.7.0 lifecycle_0.2.0 tibble_3.0.3 lattice_0.20-41
[13] pkgconfig_2.0.3 rlang_0.4.10 DBI_1.1.0 rstudioapi_0.11 rgdal_1.5-16 curl_4.3
[19] parallel_4.0.2 xfun_0.19 e1071_1.7-3 xml2_1.3.2 stringr_1.4.0 dplyr_1.0.1
[25] httr_1.4.2 raster_3.3-13 generics_0.0.2 vctrs_0.3.2 gdalUtilities_1.1.1 classInt_0.4-3
[31] grid_4.0.2 tidyselect_1.1.0 glue_1.4.2 data.table_1.13.0 sf_0.9-5 R6_2.4.1
[37] sp_1.4-2 purrr_0.3.4 magrittr_2.0.1 codetools_0.2-16 ellipsis_0.3.1 units_0.6-7
[43] rvest_0.3.6 assertthat_0.2.1 KernSmooth_2.23-17 tinytex_0.27 stringi_1.4.6 crayon_1.3.4
[49] zoo_1.8-8
‘2.0.5’
Additional context
Scientific publication
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