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 | 1153 | 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 | 609 | 2004 |
Interpolation techniques for climate variables AD Hartkamp, K De Beurs, A Stein, JW White Cimmyt, 1999 | 384 | 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 | 339 | 2012 |
Spatio-temporal statistical methods for modelling land surface phenology KM Beurs, GM Henebry Phenological research, 177-208, 2010 | 333 | 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 | 321 | 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 | 290 | 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 | 289 | 2005 |
Estimating the effect of gypsy moth defoliation using MODIS KM De Beurs, PA Townsend Remote Sensing of Environment 112 (10), 3983-3990, 2008 | 202 | 2008 |
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 | 201 | 2015 |
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 | 199 | 2001 |
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 | 194 | 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 | 171 | 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 | 164 | 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 | 159 | 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 | 156 | 2015 |
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 | 139 | 2020 |
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 | 138 | 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 | 133 | 2011 |
River water quality changes in New Zealand over 26 years: response to land use intensity JP Julian, KM de Beurs, RJ Owsley, B.C., Davies-Colley, AE Ausseil Hydrology and Earth System Sciences 21, 1149-1171, 2017 | 119 | 2017 |