Speulderbos Cal/Val Data
Speulderbos forest field database
Ground reference sites are necessary to validate satellite-derived data sets. However, sites that provide biophysical parameters for forests with high revisit time (e.g. weekly) are lacking. The aim for the Speulderbos reference site is to test new monitoring approaches that allow constant measurements and to compare them with traditional and recent methodologies.
Please download the Speulderbos Cal/Val data V1
Contact:
Benjamin Brede <benjamin.brede@wur.nl>
Wageningen University & Research, Laboratory of Geo-Information Science and Remote Sensing, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Website: http://www.wageningenur.nl/fbprv
Licence: CC BY 4.0
Data description
Terrestrial Laser Scanning (TLS) derived Plant Area Index (PAI)
filenames: YYYY-MM-DD.P_POS.csv
Y ... year
M ... month
D ... day
P ... plot
POS ... position (within plot)
File contents
column height ..........height above scanner (starting ~1.4 m agl)
columns vz03750 .....viewing zenith angle bin 0 to 3.75∞, values in colums = cumulative gap fraction (up to respective height)
hingePAI ................ PAI at hinge angle (accumulative) (m2/m2)
hingePAVD ...……...... plant area volume density (m2/m3)
linearPAI ……..…...... PAI based on all view zenith angles
linearPAVD ...…........ PAVD based on all view zenith angles
Meta
ESRI shapefiles:
TLS_Positions_UTM31N .... points, scan positions with attributes Name (plot name A to E) and position (b1 to b4, a5)
Plots_UTM31N_square ..... polygons, plot definitions
Relevant publications
Brede, B., Bartholomeus, H., Suomalainen, J., Clevers, J., Verbesselt, J., Herold, M., Culvenor, D., Gascon, F., 2016. The Speulderbos Fiducial Reference Site for Continuous Monitoring of Forest Biophysical Variables, in: Living Planet Symposium 2016, Prague, Czech Republic, 9-13 May 2016. Prague, p. 5.
Brede, B., Gastellu-Etchegorry, J.-P., Lauret, N., Baret, F., Clevers, J., Verbesselt, J., & Herold, M. (2018). Monitoring Forest Phenology and Leaf Area Index with the Autonomous, Low-Cost Transmittance Sensor PASTiS-57. Remote Sensing, 10(7), 1032. http://doi.org/10.3390/RS10071032
Calders, K., Schenkels, T., Bartholomeus, H., Armston, J., Verbesselt, J., & Herold, M. (2015). Monitoring spring phenology with high temporal resolution terrestrial LiDAR measurements. Agricultural and Forest Meteorology, 203, 158ñ168. http://doi.org/10.1016/j.agrformet.2015.01.009