landcover germany 2021

10m Germany 2021 espg:4326
Moritz Wenzler-Meya (IZW Berlin)https://ecodynizw.github.io/
2023-06-22

column input
folder_name landcover_germany_2023_10m_04326_tif
name landcover_germany_2023_10m_04326.tif
crs +proj=longlat +datum=WGS84 +no_defs
epsg 4326
year_of_data 2021
units_of_data landcover categories: 10 - Tree cover, 20 - Shrubland, 30 - Grassland, 40 - Cropland, 50 - Built-up, 60 - Bare / sparse vegetation, 70 - Snow and ice, 80 - Permanent water bodies, 90 - Herbaceous wetland, 100 - Mangroves, 110 - Moss and lichen
resolution 10m
type_of_data ordered_categorical
type_of_file .tif
source terrascpope
link_of_source https://viewer.terrascope.be
date_of_compile 2023-06-22
copyright © ESA WorldCover project 2021
short_description downloaded several tiles, merged them together and cropped them to german borders
modified NA
Session Info
[1] "2023-06-22 12:49:40 CEST"
R version 4.2.3 (2023-03-15 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)

Matrix products: default

locale:
[1] LC_COLLATE=German_Germany.1252  LC_CTYPE=German_Germany.1252   
[3] LC_MONETARY=German_Germany.1252 LC_NUMERIC=C                   
[5] LC_TIME=C                      

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods  
[7] base     

other attached packages:
[1] patchwork_1.1.2

loaded via a namespace (and not attached):
 [1] terra_1.7-29         tidyselect_1.2.0     xfun_0.39           
 [4] bslib_0.5.0          purrr_1.0.1          sf_1.0-13           
 [7] colorspace_2.1-0     vctrs_0.6.2          generics_0.1.3      
[10] htmltools_0.5.5      stars_0.6-1          yaml_2.3.7          
[13] utf8_1.2.3           rlang_1.1.1          e1071_1.7-13        
[16] jquerylib_0.1.4      pillar_1.9.0         glue_1.6.2          
[19] withr_2.5.0          DBI_1.1.3            lifecycle_1.0.3     
[22] munsell_0.5.0        gtable_0.3.3         ragg_1.2.5          
[25] codetools_0.2-19     memoise_2.0.1        evaluate_0.21       
[28] knitr_1.43           fastmap_1.1.1        parallel_4.2.3      
[31] class_7.3-21         fansi_1.0.4          highr_0.10          
[34] Rcpp_1.0.10          KernSmooth_2.23-20   scales_1.2.1        
[37] classInt_0.4-9       lwgeom_0.2-13        cachem_1.0.8        
[40] d6geodata_0.0.0.9000 jsonlite_1.8.5       abind_1.4-5         
[43] farver_2.1.1         systemfonts_1.0.4    textshaping_0.3.6   
[46] distill_1.5          ggplot2_3.4.2        digest_0.6.31       
[49] dplyr_1.1.2          grid_4.2.3           cli_3.6.1           
[52] tools_4.2.3          magrittr_2.0.3       sass_0.4.6          
[55] rcartocolor_2.1.1    proxy_0.4-27         tibble_3.2.1        
[58] tidyr_1.3.0          pkgconfig_2.0.3      downlit_0.4.2       
[61] xml2_1.3.4           timechange_0.2.0     lubridate_1.9.2     
[64] gt_0.9.0             rmarkdown_2.22       rstudioapi_0.14     
[67] R6_2.5.1             units_0.8-2          compiler_4.2.3      

Citation

For attribution, please cite this work as

Wenzler-Meya (2023, June 22). Ecological Dynamics: landcover germany 2021. Retrieved from https://ecodynizw.github.io/posts_geodata/landcover_germany_2021_10m_04326_tif/

BibTeX citation

@misc{wenzler-meya2023landcover,
  author = {Wenzler-Meya, Moritz},
  title = {Ecological Dynamics: landcover germany 2021},
  url = {https://ecodynizw.github.io/posts_geodata/landcover_germany_2021_10m_04326_tif/},
  year = {2023}
}