Kirsten de Beurs
Kirsten de Beurs
Laboratory of Geo-information and Remote Sensing, Wageningen University
Verified email at - Homepage
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Cited by
Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006
MA White, KM de Beurs, K Didan, DW Inouye, AD Richardson, OP Jensen, ...
Global Change Biology 15 (10), 2335-2359, 2009
Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan
KM De Beurs, GM Henebry
Remote Sensing of Environment 89 (4), 497-509, 2004
Interpolation techniques for climate variables
AD Hartkamp, K De Beurs, A Stein, JW White
Cimmyt, 1999
Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology
JJ Walker, KM De Beurs, RH Wynne, F Gao
Remote Sensing of Environment 117, 381-393, 2012
Spatio-temporal statistical methods for modelling land surface phenology
KM Beurs, GM Henebry
Phenological research, 177-208, 2010
Changes in the extent of surface mining and reclamation in the Central Appalachians detected using a 1976–2006 Landsat time series
PA Townsend, DP Helmers, CC Kingdon, BE McNeil, KM de Beurs, ...
Remote Sensing of Environment 113 (1), 62-72, 2009
A statistical framework for the analysis of long image time series
KM de Beurs, GM Henebry
International Journal of Remote Sensing 26 (8), 1551-1573, 2005
Land surface phenology and temperature variation in the International Geosphere–Biosphere Program high‐latitude transects
KM De Beurs, GM Henebry
Global Change Biology 11 (5), 779-790, 2005
Estimating the effect of gypsy moth defoliation using MODIS
KM De Beurs, PA Townsend
Remote Sensing of Environment 112 (10), 3983-3990, 2008
Kriging and thin plate splines for mapping climate variables
EPJ Boer, KM de Beurs, AD Hartkamp
International Journal of Applied Earth Observation and Geoinformation 3 (2 …, 2001
Identifying priority sites for low impact development (LID) in a mixed-use watershed
CJ Martin-Mikle, KM de Beurs, JP Julian, PM Mayer
Landscape and Urban Planning 140, 29-41, 2015
Global phenological response to climate change in crop areas using satellite remote sensing of vegetation, humidity and temperature over 26 years
ME Brown, KM De Beurs, M Marshall
Remote Sensing of Environment 126, 174-183, 2012
The response of African land surface phenology to large scale climate oscillations
ME Brown, K de Beurs, A Vrieling
Remote Sensing of Environment 114 (10), 2286-2296, 2010
Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data
JJ Walker, KM De Beurs, RH Wynne
Remote Sensing of Environment 144, 85-97, 2014
Evaluation of multi-sensor semi-arid crop season parameters based on NDVI and rainfall
ME Brown, KM de Beurs
Remote Sensing of Environment 112 (5), 2261-2271, 2008
Using multiple remote sensing perspectives to identify and attribute land surface dynamics in Central Asia 2001–2013
KM de Beurs, GM Henebry, BC Owsley, I Sokolik
Remote Sensing of Environment 170, 48-61, 2015
Remote sensing of crop residue cover using multi-temporal Landsat imagery
B Zheng, JB Campbell, KM de Beurs
Remote Sensing of Environment 117, 177-183, 2012
Variability of African farming systems from phenological analysis of NDVI time series
A Vrieling, KM de Beurs, ME Brown
Climatic change 109, 455-477, 2011
Nutrient dilution and climate cycles underlie declines in a dominant insect herbivore
EAR Welti, KA Roeder, KM de Beurs, A Joern, M Kaspari
Proceedings of the National Academy of Sciences, 2020
Dual scale trend analysis for evaluating climatic and anthropogenic effects on the vegetated land surface in Russia and Kazakhstan
KM De Beurs, CK Wright, GM Henebry
Environmental Research Letters 4 (4), 045012, 2009
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