Jadunandan Dash
TitleCited byYear
The MERIS terrestrial chlorophyll index
J Dash, PJ Curran
Taylor & Francis Group 25 (23), 5403-5413, 2004
Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology
PM Atkinson, C Jeganathan, J Dash, C Atzberger
Remote sensing of environment 123, 400-417, 2012
Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation
WJ Frampton, J Dash, G Watmough, EJ Milton
ISPRS journal of photogrammetry and remote sensing 82, 83-92, 2013
Evaluation of the MERIS terrestrial chlorophyll index (MTCI)
J Dash, PJ Curran
Advances in Space Research 39 (1), 100-104, 2007
The use of MERIS Terrestrial Chlorophyll Index to study spatio-temporal variation in vegetation phenology over India
J Dash, C Jeganathan, PM Atkinson
Remote Sensing of Environment 114 (7), 1388-1402, 2010
Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type
C Jeganathan, J Dash, PM Atkinson
Remote sensing of Environment 143, 154-170, 2014
The open research web: a preview of the optimal and the inevitable
N Shadbolt, T Brody, L Carr, S Harnad
Open access: Key strategic, technical and economic aspects, 2006
Automatic building extraction from laser scanning data: an input tool for disaster management
J Dash, E Steinle, RP Singh, HP Bähr
Advances in space research 33 (3), 317-322, 2004
The potential of the MERIS Terrestrial Chlorophyll Index for carbon flux estimation
A Harris, J Dash
Remote Sensing of environment 114 (8), 1856-1862, 2010
Land cover classification using multi‐temporal MERIS vegetation indices
J Dash, A Mathur, GM Foody, PJ Curran, JW Chipman, TM Lillesand
International Journal of Remote Sensing 28 (6), 1137-1159, 2007
Amazon vegetation greenness as measured by satellite sensors over the last decade
PM Atkinson, J Dash, C Jeganathan
Geophysical Research Letters 38 (19), 2011
Plenty of water, not enough strategy: How inadequate accessibility, poor governance and a volatile government can tip the balance against ensuring water security: The case of Nepal
EM Biggs, JMA Duncan, PM Atkinson, J Dash
Environmental science & policy 33, 388-394, 2013
Discriminating and mapping the C3 and C4 composition of grasslands in the northern Great Plains, USA
GM Foody, J Dash
Ecological Informatics 2 (2), 89-93, 2007
Mapping the phenology of natural vegetation in India using a remote sensing-derived chlorophyll index
C Jeganathan, J Dash, PM Atkinson
International Journal of Remote Sensing 31 (22), 5777-5796, 2010
Fusion of Landsat 8 OLI and Sentinel-2 MSI data
Q Wang, GA Blackburn, AO Onojeghuo, J Dash, L Zhou, Y Zhang, ...
IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3885-3899, 2017
Vulnerability of ecosystems to climate change moderated by habitat intactness
F Eigenbrod, P Gonzalez, J Dash, I Steyl
Global change biology 21 (1), 275-286, 2015
Phenology of vegetation in Southern England from Envisat MERIS terrestrial chlorophyll index (MTCI) data
DS Boyd, S Almond, J Dash, PJ Curran, RA Hill
International journal of remote sensing 32 (23), 8421-8447, 2011
Retrieval of biophysical vegetation products from RapidEye imagery
F Vuolo, C Atzberger, K Richter, G D’Urso, J Dash
na, 2010
Intercomparison of satellite sensor land surface phenology and ground phenology in Europe
VF Rodriguez‐Galiano, J Dash, PM Atkinson
Geophysical Research Letters 42 (7), 2253-2260, 2015
Elucidating the impact of temperature variability and extremes on cereal croplands through remote sensing
JMA Duncan, J Dash, PM Atkinson
Global change biology 21 (4), 1541-1551, 2015
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