10.5281/zenodo.5772673
https://zenodo.org/records/5772673
oai:zenodo.org:5772673
Zsofia Koma
Zsofia Koma
0000-0002-0003-8258
University of Amsterdam, Aarhus University
Arie C. Seijmonsbergen
Arie C. Seijmonsbergen
University of Amsterdam
Meiert W. Grootes
Meiert W. Grootes
Netherlands eScience Center
Francesco Nattino
Francesco Nattino
Netherlands eScience Center
Jim Groot
Jim Groot
University of Amsterdam
Henk Sierdsema
Henk Sierdsema
Sovon Dutch Centre for Field Ornithology
Ruud Foppen
Ruud Foppen
Sovon Dutch Centre for Field Ornithology, Radboud University
W. Daniel Kissling
W. Daniel Kissling
University of Amsterdam, LifeWatch Virtual Laboratory Innovation Center
Data from: Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds
Zenodo
2021
2021-12-10
10.5281/zenodo.5772672
Creative Commons Attribution 4.0 International
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.