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Pedro J. Leitão
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Zitiert von
Zitiert von
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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
73882013
The EnMAP spaceborne imaging spectroscopy mission for earth observation
L Guanter, H Kaufmann, K Segl, S Foerster, C Rogass, S Chabrillat, ...
Remote Sensing 7 (7), 8830-8857, 2015
5822015
A standard protocol for reporting species distribution models
D Zurell, J Franklin, C König, PJ Bouchet, CF Dormann, J Elith, G Fandos, ...
Ecography 43 (9), 1261-1277, 2020
3342020
Comparing the determinants of cropland abandonment in Albania and Romania using boosted regression trees
D Müller, PJ Leitão, T Sikor
Agricultural Systems 117, 66-77, 2013
2422013
The EnMAP-Box—A toolbox and application programming interface for EnMAP data processing
S van der Linden, A Rabe, M Held, B Jakimow, PJ Leitão, A Okujeni, ...
Remote Sensing 7 (9), 11249-11266, 2015
2192015
Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward
N Pettorelli, H Schulte to Bühne, A Tulloch, G Dubois, C Macinnis‐Ng, ...
Remote Sensing in Ecology and Conservation 4 (2), 71-93, 2018
2102018
Drivers of forest harvesting intensity patterns in Europe
C Levers, PJ Verkerk, D Müller, PH Verburg, V Butsic, PJ Leitão, ...
Forest ecology and management 315, 160-172, 2014
1952014
Assessing weather effects on dengue disease in Malaysia
YL Cheong, K Burkart, PJ Leitão, T Lakes
International journal of environmental research and public health 10 (12 …, 2013
1862013
Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery
C Senf, PJ Leitão, D Pflugmacher, S van der Linden, P Hostert
Remote Sensing of Environment 156, 527-536, 2015
1682015
Assessment of land use factors associated with dengue cases in Malaysia using Boosted Regression Trees
YL Cheong, PJ Leitão, T Lakes
Spatial and spatio-temporal epidemiology 10, 75-84, 2014
1472014
Mapping Brazilian savanna vegetation gradients with Landsat time series
M Schwieder, PJ Leitão, MM da Cunha Bustamante, LG Ferreira, A Rabe, ...
International Journal of Applied Earth Observation and Geoinformation 52 …, 2016
1082016
Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring
D Rocchini, S Luque, N Pettorelli, L Bastin, D Doktor, N Faedi, ...
Methods in Ecology and Evolution 9 (8), 1787-1798, 2018
1012018
Effects of land-use on Collembola diversity patterns in a Mediterranean landscape
JP Sousa, MM da Gama, C Pinto, A Keating, F Calhôa, M Lemos, ...
Pedobiologia 48 (5-6), 609-622, 2004
822004
Priority list of biodiversity metrics to observe from space
AK Skidmore, NC Coops, E Neinavaz, A Ali, ME Schaepman, M Paganini, ...
Nature ecology & evolution 5 (7), 896-906, 2021
812021
Modelling species distributions with remote sensing data: bridging disciplinary perspectives
AF Cord, RK Meentemeyer, PJ Leitão, T Václavík
Journal of Biogeography 40 (12), 2226-2227, 2013
752013
Improving models of species ecological niches: a remote sensing overview
PJ Leitão, MJ Santos
Frontiers in Ecology and Evolution, 9, 2019
702019
Make EU trade with Brazil sustainable
L Kehoe, T Reis, M Virah-Sawmy, A Balmford, T Kuemmerle, A Knohl, ...
Science 364 (6438), 2019
692019
Effects of species and habitat positional errors on the performance and interpretation of species distribution models
PE Osborne, PJ Leitão
Diversity and Distributions 15 (4), 671-681, 2009
662009
Estimating fractional shrub cover using simulated EnMAP data: A comparison of three machine learning regression techniques
M Schwieder, PJ Leitão, S Suess, C Senf, P Hostert
Remote Sensing 6 (4), 3427-3445, 2014
632014
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series
HN Bendini, LMG Fonseca, M Schwieder, TS Körting, P Rufin, ...
International Journal of Applied Earth Observation and Geoinformatics 82, 101872, 2019
60*2019
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