column | input |
---|---|
folder_name | tri_europe_2016_100m_03035_tif |
name | tri_europe_2016_100m_03035.tif |
crs | +proj=laea +lat_0=52 +lon_0=10 +x_0=4321000 +y_0=3210000 +ellps=GRS80 +units=m +no_defs |
epsg | 3035 |
year_of_data | 2016 |
units_of_data | mean of the absolute differences between the value of a cell and its 8 surrounding cells |
resolution | 100m |
type_of_data | continuous_numeric |
type_of_file | .tif |
source | dlr |
link_of_source | https://download.geoservice.dlr.de/TDM90/ |
date_of_compile | 2023-11-08 |
copyright | [1] Wessel, B., Huber, M., Wohlfart, C., Marschalk, U., Kosmann, D., Roth, A.(2018): Accuracy Assessment of the Global TanDEM-X Digital Elevation Model with GPS Data. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 139, pp. 171-182. [2] Rizzoli, P., Martone, M., Gonzalez, C., Wecklich, C., Borla Tridon, D., Bräutigam, B., Bachmann, M., Schulze, D., Fritz, T., Huber, M., Wessel, B., Krieger, G., Zink, M., and Moreira, A. (2017): Generation and performance assessment of the global TanDEM-X digital elevation model. ISPRS Journal of Photogrammetry and Remote Sensing, Vol 132, pp. 119-139. |
short_description | made from dem europe 100m |
modified | NA |
[1] "2023-11-08 10:37:16 CET"
R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)
Matrix products: default
locale:
[1] LC_COLLATE=German_Germany.utf8 LC_CTYPE=German_Germany.utf8
[3] LC_MONETARY=German_Germany.utf8 LC_NUMERIC=C
[5] LC_TIME=C
time zone: Europe/Berlin
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] patchwork_1.1.3
loaded via a namespace (and not attached):
[1] gt_0.10.0 sass_0.4.7 utf8_1.2.4
[4] generics_0.1.3 tidyr_1.3.0 class_7.3-22
[7] xml2_1.3.5 KernSmooth_2.23-21 lattice_0.21-8
[10] distill_1.6 digest_0.6.33 magrittr_2.0.3
[13] timechange_0.2.0 evaluate_0.22 grid_4.3.1
[16] fastmap_1.1.1 jsonlite_1.8.7 e1071_1.7-13
[19] DBI_1.1.3 purrr_1.0.2 fansi_1.0.5
[22] scales_1.2.1 codetools_0.2-19 textshaping_0.3.7
[25] jquerylib_0.1.4 abind_1.4-5 cli_3.6.1
[28] rlang_1.1.1 units_0.8-4 munsell_0.5.0
[31] withr_2.5.2 cachem_1.0.8 yaml_2.3.7
[34] raster_3.6-26 parallel_4.3.1 tools_4.3.1
[37] memoise_2.0.1 dplyr_1.1.3 colorspace_2.1-0
[40] ggplot2_3.4.4 vctrs_0.6.4 R6_2.5.1
[43] lubridate_1.9.3 proxy_0.4-27 lifecycle_1.0.3
[46] classInt_0.4-10 ragg_1.2.6 pkgconfig_2.0.3
[49] terra_1.7-55 pillar_1.9.0 bslib_0.5.1
[52] gtable_0.3.4 glue_1.6.2 Rcpp_1.0.11
[55] sf_1.0-14 systemfonts_1.0.5 highr_0.10
[58] xfun_0.40 tibble_3.2.1 tidyselect_1.2.0
[61] rstudioapi_0.15.0 knitr_1.45 farver_2.1.1
[64] htmltools_0.5.6.1 labeling_0.4.3 rmarkdown_2.25
[67] d6geodata_0.0.0.9000 compiler_4.3.1 downlit_0.4.3
[70] sp_2.1-1 stars_0.6-4
For attribution, please cite this work as
Wenzler-Meya (2023, Nov. 8). Ecological Dynamics: tri europe 2016. Retrieved from https://ecodynizw.github.io/posts_geodata/tri_europe_2016_100m_03035_tif/
BibTeX citation
@misc{wenzler-meya2023tri, author = {Wenzler-Meya, Moritz}, title = {Ecological Dynamics: tri europe 2016}, url = {https://ecodynizw.github.io/posts_geodata/tri_europe_2016_100m_03035_tif/}, year = {2023} }