Dataset Open Access
Data from: Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds
Zsofia Koma;
Arie C. Seijmonsbergen;
Meiert W. Grootes;
Francesco Nattino;
Jim Groot;
Henk Sierdsema;
Ruud Foppen;
W. Daniel Kissling
This data repository contains the processed and extracted metrics from the Dutch land cover, country wide airborne laser scanning and Sentinel-1 and 2 datasets used as input predictor variables in the species distribution modelling step. The study area within the Netherlands comprised five Dutch provinces (Groningen, Drenthe, Overijssel, Gelderland, and Flevoland) for which both ALS and Sentinel data were available for the same year. The land cover metrics were derived using the Dutch land cover map from 2018 (LGN2018 or LGN8). The country-wide LiDAR point clouds were derived from the third Dutch national ALS flight campaign (AHN3, Actueel Hoogtebestand Nederland). The AHN3 dataset is openly accessible data available from (https://ahn.arcgisonline.nl/ahnviewer/). The Sentinel datasets were processed using Google Earth Engine.
| Name | Size | |
|---|---|---|
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landcover_propforest.tif
md5:038166a1fe293bc17d696a3334807956 |
47.3 MB | Download |
|
landcover_prophighshrub.tif
md5:4efdcaf0d0c21426842459cdaa84f48f |
22.1 MB | Download |
|
landcover_proplowshrub.tif
md5:c52ceacdbe760d0ffa6465e2df61454c |
20.5 MB | Download |
|
landcover_propreed.tif
md5:bb52205c3da12787b12c0f16d6c39570 |
40.2 MB | Download |
|
landcover_propsaltmarsh.tif
md5:28f165c813ad45548ce1545b0f567cec |
30.9 MB | Download |
|
landcover_propswamp.tif
md5:4092d1266982db766466e4bf92d6f383 |
39.4 MB | Download |
|
lidar_C_ppr.tif
md5:46277e02e346f2f8c4861d41d8ee4ed5 |
56.7 MB | Download |
|
lidar_HH_reedveg_prop.tif
md5:55839214be79b9b55a6bcfe654c5e60d |
37.2 MB | Download |
|
lidar_HH_sd.tif
md5:260244db74a87c58611265feba8f908d |
80.0 MB | Download |
|
lidar_HH_sd_low.tif
md5:a713eac26c77fb38c665129451934350 |
77.4 MB | Download |
|
lidar_VD_1_2.tif
md5:7b113edd87ee361b6f767d9a4527dc6b |
44.1 MB | Download |
|
lidar_VD_2_3.tif
md5:65bad255a85e11b6a8535d5b01131c1e |
39.8 MB | Download |
|
lidar_VV_kurt.tif
md5:b01b7b64ee9b5115ec4e788764dacc39 |
55.8 MB | Download |
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lidar_VV_p25.tif
md5:fb8aff0f65647ad35aa5a9af4e3adc49 |
51.2 MB | Download |
|
lidar_VV_std.tif
md5:c863419ab13e451cb4c7f00147128723 |
57.2 MB | Download |
|
optical_NDVImed.tif
md5:d30fe109c101b8877bd9a3c596dca0a1 |
90.6 MB | Download |
|
optical_NDVIsd_hor_100m.tif
md5:89296a7720dc534bc565a3bbf2827876 |
84.2 MB | Download |
|
optical_NDVIstd.tif
md5:99c6d1314f32b592c9b2e483c37cbe1f |
90.2 MB | Download |
|
radar_VHsd_hor_100m.tif
md5:496b9e5e79def35532e69ec0d94b6553 |
83.2 MB | Download |
|
radar_VHstd.tif
md5:6ed8cab33ca6b923495b08373c2ff048 |
87.8 MB | Download |
|
radar_VVmax.tif
md5:cfa05bb79a16c7f77349c8ebd06a9e52 |
90.2 MB | Download |
|
radar_VVstd.tif
md5:710612338b357d2f06bb94079861a928 |
87.7 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 93 | 93 |
| Downloads | 27 | 27 |
| Data volume | 1.6 GB | 1.6 GB |
| Unique views | 80 | 80 |
| Unique downloads | 3 | 3 |
- Publication date:
- December 10, 2021
- DOI:
-
- License (for files):
- Creative Commons Attribution 4.0 International