Marius Appel
Marius Appel
Institute for Geoinformatics, University of Muenster
Bestätigte E-Mail-Adresse bei uni-muenster.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
dtwsat: Time-weighted dynamic time warping for satellite image time series analysis in r
V Maus, G Câmara, M Appel, E Pebesma
Journal of Statistical Software 88, 1-31, 2019
452019
Spatial interpolation in massively parallel computing environments
K Henneböhl, M Appel, E Pebesma
Proc. of the 14th AGILE International Conference on Geographic Information …, 2011
332011
Open and scalable analytics of large Earth observation datasets: From scenes to multidimensional arrays using SciDB and GDAL
M Appel, F Lahn, W Buytaert, E Pebesma
ISPRS journal of photogrammetry and remote sensing 138, 47-56, 2018
282018
On-demand processing of data cubes from satellite image collections with the gdalcubes library
M Appel, E Pebesma
Data 4 (3), 92, 2019
262019
Multidimensional arrays for analysing geoscientific data
M Lu, M Appel, E Pebesma
ISPRS International Journal of Geo-Information 7 (8), 313, 2018
92018
Combining automatic and manual image analysis in a web-mapping application for collaborative conflict damage assessment
C Knoth, S Slimani, M Appel, E Pebesma
Applied Geography 97, 25-34, 2018
82018
Scalable earth-observation analytics for geoscientists: Spacetime extensions to the array database SciDB
M Appel, F Lahn, E Pebesma, W Buytaert, S Moulds
EGU General Assembly Conference Abstracts, EPSC2016-11780, 2016
82016
Time-Weighted Dynamic Time Warping for satellite image time series analysis (Software)
V Maus, M Appel, T Giorgino
v. 0.2. 2, 2017
32017
Spatiotemporal multi-resolution approximations for analyzing global environmental data
M Appel, E Pebesma
Spatial Statistics 38, 100465, 2020
22020
openEO: an open API for cloud-based big Earth Observation processing platforms
E Pebesma, W Wagner, P Soille, M Kadunc, N Gorelick, M Schramm, ...
EGU General Assembly Conference Abstracts, 4957, 2018
22018
Scalable Earth Observation analytics with SciDB
M Appel, E Pebesma
Retrieved September, 2016
22016
SCIDB BASED FRAMEWORK FOR STORAGE AND ANALYSIS OF REMOTE SENSING BIG DATA.
A Joshi, E Pebesma, R Henriques, M Appel
International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2019
12019
Implementation of geostatistical models for large spatiotemporal datasets using multi-resolution approximations
M Appel, E Pebesma
EGU General Assembly Conference Abstracts, EGU21-6585, 2021
2021
Facilitating Statistical Analysis of Large Satellite-based Earth Observation Data
M Appel
Westfälische Wilhelms-Universität Münster, 2020
2020
Discussion of Earth system data cubes unravel global multivariate dynamics, by Miguel Mahecha et al.
E Pebesma, M Appel
2019
R vector and raster data cubes for openEO
E Pebesma, M Appel, F Lahn
EGU General Assembly Conference Abstracts, 8198, 2018
2018
Package ‘dtwSat’
V Maus, M Appel, T Giorgino, MV Maus
2017
Modelling spatiotemporal change using multidimensional arrays Meng
M Lu, M Appel, E Pebesma
EGU General Assembly Conference Abstracts, 17610, 2017
2017
Reproducible Earth observation analytics: challenges, ideas, and a study case on containerized land use change detection
M Appel, D Nüst, E Pebesma
EGU General Assembly Conference Abstracts, 8525, 2017
2017
Modelling spatiotemporal change using multidimensional arrays
M Lu, M Appel, E Pebesma
Geophysical Research Abstracts 19, 2017
2017
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