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Andrew Skidmore
Andrew Skidmore
Professor of Spatial Environmental Resource Dynamics, ITC, University of Twente
在 utwente.nl 的电子邮件经过验证 - 首页
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Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
CF Dormann, J Elith, S Bacher, C Buchmann, G Carl, G Carré, ...
Ecography 36 (1), 27-46, 2013
85912013
Where is positional uncertainty a problem for species distribution modelling?
B Naimi, NAS Hamm, TA Groen, AK Skidmore, AG Toxopeus
Ecography 37 (2), 191-203, 2014
13532014
Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI
PSA Beck, C Atzberger, KA Høgda, B Johansen, AK Skidmore
Remote sensing of Environment 100 (3), 321-334, 2006
11172006
Effects of fire and herbivory on the stability of savanna ecosystems
F Van Langevelde, CADM Van De Vijver, L Kumar, J Van De Koppel, ...
Ecology 84 (2), 337-350, 2003
9032003
Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests
TM Basuki, PE Van Laake, AK Skidmore, YA Hussin
Forest ecology and management 257 (8), 1684-1694, 2009
8822009
Narrow band vegetation indices overcome the saturation problem in biomass estimation
O Mutanga, AK Skidmore
International journal of remote sensing 25 (19), 3999-4014, 2004
8782004
Spectral discrimination of vegetation types in a coastal wetland
KS Schmidt, AK Skidmore
Remote sensing of Environment 85 (1), 92-108, 2003
8432003
Modelling topographic variation in solar radiation in a GIS environment
L Kumar, KS ANDREW, E Knowles
International Journal of Geographical Information Science 11 (5), 475-497, 1997
7391997
A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
MA Cho, AK Skidmore
Remote sensing of environment 101 (2), 181-193, 2006
6712006
Review of hyperspectral remote sensing and vegetation science
L Kumar, KS Schmidt, S Dury, A Skidmore
Imaging Spectrometry: Basic Principles and Prospective Applications, 111-155, 2001
602*2001
Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland
R Darvishzadeh, A Skidmore, M Schlerf, C Atzberger
Remote sensing of environment 112 (5), 2592-2604, 2008
5622008
LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
R Darvishzadeh, A Skidmore, M Schlerf, C Atzberger, F Corsi, M Cho
ISPRS journal of photogrammetry and remote sensing 63 (4), 409-426, 2008
5332008
Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression
MA Cho, A Skidmore, F Corsi, SE Van Wieren, I Sobhan
International journal of applied Earth observation and geoinformation 9 (4 …, 2007
4882007
A comparison of techniques for calculating gradient and aspect from a gridded digital elevation model
AK Skidmore
International Journal of Geographical Information System 3 (4), 323-334, 1989
4431989
Spatial autocorrelation in predictors reduces the impact of positional uncertainty in occurrence data on species distribution modelling
B Naimi, AK Skidmore, TA Groen, NAS Hamm
Journal of biogeography 38 (8), 1497-1509, 2011
4422011
Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features
O Mutanga, AK Skidmore, HHT Prins
Remote sensing of Environment 89 (3), 393-408, 2004
4282004
Agree on biodiversity metrics to track from space
M Skidmore, A.K., Pettorelli, N., Coops, N.C., Geller, G.N., Hansen, M ...
Nature 523 (7561), 403-405, 2015
426*2015
others (2013) Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
CF Dormann, J Elith, S Bacher, C Buchmann, G Carl, G Carré, ...
Ecography 36 (1), 27-46, 2013
4212013
Next-generation digital earth
MF Goodchild, H Guo, A Annoni, L Bian, K De Bie, F Campbell, M Craglia, ...
Proceedings of the National Academy of Sciences 109 (28), 11088-11094, 2012
3612012
Generating pit-free canopy height models from airborne lidar
A Khosravipour, AK Skidmore, M Isenburg, T Wang, YA Hussin
Photogrammetric Engineering & Remote Sensing 80 (9), 863-872, 2014
3582014
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