Lars Eklundh

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Per JönssonProfessor of Applied Mathematics, Malmö UniversityVerified email at mah.se
Jonas ArdöProfessor, Department of Physical Geography and Ecosystem Science Lund UniversiityVerified email at nateko.lu.se
Hongxiao Jin (靳洪晓)Lund UniversityVerified email at nateko.lu.se
Torbern TagessonDoctor of physical geography and ecosystem analysis, Lund universityVerified email at ign.ku.dk
Lennart OlssonProfessor, Sustainability Science, Lund UniversityVerified email at lucsus.lu.se
Vicente-Serrano S.M. (ORCID: 0000-0...Instituto Pirenaico de Ecología (IPE-CSIC), https://ror.org/039ssy097), LCSC LabVerified email at ipe.csic.es
Sadegh JamaliPhD in Remote Sensing, Lund UniversityVerified email at tft.lth.se
Lars HarrieProfessor, Lund Univerity, SwedenVerified email at nateko.lu.se
Pontus OlofssonNASA Marshall Space Flight CenterVerified email at nasa.gov
Leif KlemedtssonProf. Göteborgs univVerified email at gu.se
Thomas HicklerProfessor for Quantitative Biogeography, Senckenberg Research Institute & Goethe UniversityVerified email at senckenberg.de
Benjamin SmithHawkesbury Institute for the Environment, Western Sydney UniversityVerified email at westernsydney.edu.au
Torben R ChristensenAarhus University & University of OuluVerified email at ecos.au.dk
Fensholt RasmusProfessor of Geography, Dept of Geoscience and Natural Resource Management, University of CopenhagenVerified email at ign.ku.dk
Jin ChenProfessor of Remote Sensing, Beijing Normal UniversityVerified email at bnu.edu.cn
Johan LindströmAssociate Professor of Mathematical Statistics, Centre for Mathematical Sciences, Lund UniversityVerified email at matstat.lu.se
Benjamin W. HeumannDirector, Center for Geographic Information Science, Central Michigan UniversityVerified email at cmich.edu
Mikhail MastepanovSenior Researcher, Aarhus University, Denmark; University of Oulu, FinlandVerified email at ecos.au.dk
Mikkel P. TamstorfAarhus UniversityVerified email at vigtamstorf.dk
Magnus LundDepartment of Bioscience, Aarhus UniversityVerified email at dmu.dk

Lars Eklundh

Lund University

Verified email at nateko.lu.se

Remote sensing


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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	2586	2004
TIMESAT—a program for analyzing time-series of satellite sensor data P Jönsson, L Eklundh Computers & geosciences 30 (8), 833-845, 2004	2260	2004
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	1610	2002
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	790	2005
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	469	2007
Vegetation index trends for the African Sahel 1982–1999 L Eklundh, L Olsson Geophysical Research Letters 30 (8), 2003	446	2003
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	361	2020
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	336	2015
TIMESAT 3.1 software manual L Eklundh, P Jönsson Lund University, Sweden, 1-82, 2012	323*	2012
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	323	2005
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	303	2007
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	254	2017
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	215	1993
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	214	2022
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	211	2006
A physically based vegetation index for improved monitoring of plant phenology H Jin, L Eklundh Remote Sensing of Environment 152, 512-525, 2014	210	2014
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	205	2009
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	201	2012
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	201	2001
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	188	2010

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