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Lars Eklundh
Lars Eklundh
Lund University
Verified email at nateko.lu.se
Title
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Cited by
Year
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter
J Chen, P Jönsson, M Tamura, Z Gu, B Matsushita, L Eklundh
Remote sensing of Environment 91 (3-4), 332-344, 2004
25162004
TIMESAT—a program for analyzing time-series of satellite sensor data
P Jönsson, L Eklundh
Computers & geosciences 30 (8), 833-845, 2004
22332004
Seasonality extraction by function fitting to time-series of satellite sensor data
P Jonsson, L Eklundh
IEEE transactions on Geoscience and Remote Sensing 40 (8), 1824-1832, 2002
15802002
A recent greening of the Sahel—trends, patterns and potential causes
L Olsson, L Eklundh, J Ardö
Journal of Arid Environments 63 (3), 556-566, 2005
7822005
AVHRR derived phenological change in the Sahel and Soudan, Africa, 1982–2005
BW Heumann, JW Seaquist, L Eklundh, P Jönsson
Remote sensing of environment 108 (4), 385-392, 2007
4642007
Vegetation index trends for the African Sahel 1982–1999
L Eklundh, L Olsson
Geophysical Research Letters 30 (8), 2003
4432003
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery
DK Bolton, JM Gray, EK Melaas, M Moon, L Eklundh, MA Friedl
Remote Sensing of Environment 240, 111685, 2020
3382020
Detecting changes in vegetation trends using time series segmentation
S Jamali, P Jönsson, L Eklundh, J Ardö, J Seaquist
Remote Sensing of Environment 156, 182-195, 2015
3262015
Precipitation controls Sahel greening trend
T Hickler, L Eklundh, JW Seaquist, B Smith, J Ardö, L Olsson, MT Sykes, ...
Geophysical Research Letters 32 (21), 2005
3172005
TIMESAT 3.1 software manual
L Eklundh, P Jönsson
Lund University, Sweden, 1-82, 2012
314*2012
Estimation of diurnal air temperature using MSG SEVIRI data in West Africa
S Stisen, I Sandholt, A Nørgaard, R Fensholt, L Eklundh
Remote sensing of Environment 110 (2), 262-274, 2007
2992007
Performance of smoothing methods for reconstructing NDVI time-series and estimating vegetation phenology from MODIS data
Z Cai, P Jönsson, H Jin, L Eklundh
Remote Sensing 9 (12), 1271, 2017
2442017
A comparative analysis of standardised and unstandardised principal components analysis in remote sensing
L Eklundh, A Singh
International Journal of Remote Sensing 14 (7), 1359-1370, 1993
2131993
Impact of understory vegetation on forest canopy reflectance and remotely sensed LAI estimates
HM Eriksson, L Eklundh, A Kuusk, T Nilson
Remote sensing of Environment 103 (4), 408-418, 2006
2052006
Mapping insect defoliation in Scots pine with MODIS time-series data
L Eklundh, T Johansson, S Solberg
Remote sensing of environment 113 (7), 1566-1573, 2009
2042009
Investigating relationships between Landsat ETM+ sensor data and leaf area index in a boreal conifer forest
L Eklundh, L Harrie, A Kuusk
Remote sensing of Environment 78 (3), 239-251, 2001
2002001
Global maps of soil temperature
JJ Lembrechts, J van den Hoogen, J Aalto, MB Ashcroft, P De Frenne, ...
Global change biology 28 (9), 3110-3144, 2022
1972022
A physically based vegetation index for improved monitoring of plant phenology
H Jin, L Eklundh
Remote Sensing of Environment 152, 512-525, 2014
1922014
Challenges for drought mitigation in Africa: The potential use of geospatial data and drought information systems
SM Vicente-Serrano, S Beguería, L Gimeno, L Eklundh, G Giuliani, ...
Applied Geography 34, 471-486, 2012
1922012
Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology
AM Jönsson, L Eklundh, M Hellström, L Bärring, P Jönsson
Remote Sensing of Environment 114 (11), 2719-2730, 2010
1862010
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Articles 1–20