Marcel Schwieder
TitelZitiert vonJahr
The EnMAP-Box—A toolbox and application programming interface for EnMAP data processing
S van der Linden, A Rabe, M Held, B Jakimow, P Leitão, A Okujeni, ...
Remote Sensing 7 (9), 11249-11266, 2015
Estimating fractional shrub cover using simulated EnMAP data: A comparison of three machine learning regression techniques
M Schwieder, P Leitão, S Suess, C Senf, P Hostert
Remote Sensing 6 (4), 3427-3445, 2014
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
Ground-based hyperspectral characterization of Alaska tundra vegetation along environmental gradients
M Buchhorn, D Walker, B Heim, M Raynolds, H Epstein, M Schwieder
Remote Sensing 5 (8), 3971-4005, 2013
Monitoring natural ecosystem and ecological gradients: Perspectives with EnMAP
P Leitão, M Schwieder, S Suess, A Okujeni, L Galvão, S Linden, P Hostert
Remote Sensing 7 (10), 13098-13119, 2015
Using class probabilities to map gradual transitions in shrub vegetation from simulated EnMAP data
S Suess, S van der Linden, A Okujeni, P Leitão, M Schwieder, P Hostert
Remote Sensing 7 (8), 10668-10688, 2015
Mapping beta diversity from space: Sparse Generalised Dissimilarity Modelling (SGDM) for analysing high‐dimensional data
PJ Leitao, M Schwieder, S Suess, I Catry, EJ Milton, F Moreira, ...
Methods in Ecology and Evolution 6 (7), 764-771, 2015
Landsat phenological metrics and their relation to aboveground carbon in the Brazilian Savanna
M Schwieder, PJ Leitão, JRR Pinto, AMC Teixeira, F Pedroni, M Sanchez, ...
Carbon balance and management 13 (1), 7, 2018
sgdm: An R package for performing sparse generalized dissimilarity modelling with tools for gdm
P Leitão, M Schwieder, C Senf
ISPRS International Journal of Geo-Information 6 (1), 23, 2017
From sample to pixel: multi‐scale remote sensing data for upscaling aboveground carbon data in heterogeneous landscapes
PJ Leitão, M Schwieder, F Pötzschner, JRR Pinto, AMC Teixeira, ...
Ecosphere 9 (8), e02298, 2018
Mapping Cerrado physiognomies using Landsat time series based phenological profiles
M Schwieder, PJP Leitão, A Rabe, MMC Bustamante, LG Ferreira, ...
proceedings of the XVII Simpósio Brasileiro de Sensoriamento Remoto, INPE …, 2015
Grassland use intensity metrics from Sentinel-1 and Sentinel-2 data
M Schwieder, D Frantz, D Loibl, P Griffiths, K Pfoch, H Lilienthal, P Hostert
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 Korting, P Rufin, ...
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series
H do Nascimento Bendini, LMG Fonseca, M Schwieder, TS Körting, ...
International Journal of Applied Earth Observation and Geoinformation 82, 101872, 2019
Mapping woody plant community turnover with space‐borne hyperspectral data–a case study in the Cerrado
PJ Leitão, M Schwieder, F Pedroni, M Sanchez, JRR Pinto, ...
Remote Sensing in Ecology and Conservation 5 (1), 107-115, 2019
Characterizing 32 years of shrub cover dynamics in southern Portugal using annual Landsat composites and machine learning regression modeling
S Suess, S van der Linden, A Okujeni, P Griffiths, PJ Leitão, M Schwieder, ...
Remote Sensing of Environment 219, 353-364, 2018
Landsat derived land surface phenology metrics for the characterization of natural vegetation in the Brazilian savanna
M Schwieder
Humboldt-Universität zu Berlin, 2018
Mapping Cerrado woody plant traits with spaceborne hyperspectral data
PJ Leitão, M Schwieder, F Pedroni, JR Pinto, L Maracahipes, ...
ECCB2018: 5th European Congress of Conservation Biology. 12th-15th of June …, 2018
EnMAP Core Science Team-Natural Ecosystems and Ecosystem Transitions: Abschlussbericht zum 30.06. 2017: Laufzeit des Vorhabens: 01.06. 2013-31.05. 2016, kostenneutral …
PJ Leitão, M Schwieder, S van der Linden, P Hostert
Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät …, 2017
Hyperspectral satellite data for modelling spatial beta diversity patterns of birds along an environmental gradient
PJ Leitao, S Suess, M Schwieder, EJ Milton, S van der Linden, P Hostert
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