Jan Clevers
Jan Clevers
Associate Professor in Remote Sensing, Wageningen University, the Netherlands
Bestätigte E-Mail-Adresse bei wur.nl
Titel
Zitiert von
Zitiert von
Jahr
Application of a weighted infrared-red vegetation index for estimating leaf area index by correcting for soil moisture
J Clevers
Remote Sensing of Environment 29 (1), 25-37, 1989
4281989
Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and-3
JGPW Clevers, AA Gitelson
International Journal of Applied Earth Observation and Geoinformation 23 …, 2013
3532013
The derivation of a simplified reflectance model for the estimation of leaf area index
J Clevers
Remote Sensing of Environment 25 (1), 53-69, 1988
3251988
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review
J Verrelst, G Camps-Valls, J Muñoz-Marí, JP Rivera, F Veroustraete, ...
ISPRS Journal of Photogrammetry and Remote Sensing 108, 273-290, 2015
2822015
The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches
F Baret, J Clevers, MD Steven
Remote Sensing of Environment 54 (2), 141-151, 1995
2641995
Review of optical-based remote sensing for plant trait mapping
L Homolova, Z Malenovský, JGPW Clevers, G García-Santos, ...
Ecological Complexity 15, 1-16, 2013
2352013
Efficiency and accuracy of per-field classification for operational crop mapping
AJW De Wit, J Clevers
International journal of remote sensing 25 (20), 4091-4112, 2004
2162004
Basics of remote sensing
SM De Jong, FD Van der Meer, JGPW Clevers
Remote sensing image analysis: Including the spatial domain, 1-15, 2004
2162004
Using hyperspectral remote sensing data for retrieving canopy chlorophyll and nitrogen content
JGPW Clevers, L Kooistra
IEEE Journal of selected topics in applied earth observations and remote …, 2011
2102011
Derivation of the red edge index using the MERIS standard band setting
J Clevers, SM De Jong, GF Epema, FD Van Der Meer, WH Bakker, ...
International Journal of Remote Sensing 23 (16), 3169-3184, 2002
1912002
Combined use of optical and microwave remote sensing data for crop growth monitoring
J Clevers, HJC Van Leeuwen
Remote sensing of environment 56 (1), 42-51, 1996
1911996
Estimating canopy water content using hyperspectral remote sensing data
JGPW Clevers, L Kooistra, ME Schaepman
International Journal of Applied Earth Observation and Geoinformation 12 (2 …, 2010
1682010
Gross changes in reconstructions of historic land cover/use for Europe between 1900 and 2010
R Fuchs, M Herold, PH Verburg, JGPW Clevers, J Eberle
Global change biology 21 (1), 299-313, 2015
1652015
Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains
L Kooistra, EAL Salas, J Clevers, R Wehrens, R Leuven, PH Nienhuis, ...
Environmental Pollution 127 (2), 281-290, 2004
1632004
Using Sentinel-2 data for retrieving LAI and leaf and canopy chlorophyll content of a potato crop
JGPW Clevers, L Kooistra, MMM Van den Brande
Remote Sensing 9 (5), 405, 2017
1502017
A high-resolution and harmonized model approach for reconstructing and analysing historic land changes in Europe
R Fuchs, M Herold, PH Verburg, JGPW Clevers
Biogeosciences 10 (3), 1543-1559, 2013
1502013
Unmixing-based Landsat TM and MERIS FR data fusion
R Zurita-Milla, JGPW Clevers, ME Schaepman
IEEE Geoscience and Remote Sensing Letters 5 (3), 453-457, 2008
1472008
Land use patterns and related carbon losses following deforestation in South America
V De Sy, M Herold, F Achard, R Beuchle, J Clevers, E Lindquist, L Verchot
Environmental Research Letters 10 (12), 124004, 2015
1442015
A simplified approach for yield prediction of sugar beet based on optical remote sensing data
J Clevers
Remote sensing of Environment 61 (2), 221-228, 1997
1431997
Using spectral information from the NIR water absorption features for the retrieval of canopy water content
JGPW Clevers, L Kooistra, ME Schaepman
International Journal of Applied Earth Observation and Geoinformation 10 (3 …, 2008
1422008
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20