Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Patrick Schratz"'
Autor:
Jonas Brock, Patrick Schratz, Helene Petschko, Jannes Muenchow, Mihai Micu, Alexander Brenning
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 11, Iss 1, Pp 1075-1092 (2020)
Considering the critical importance of the quality of input data for landslide susceptibility, we investigate the performance improvements that can be achieved by different globally available digital elevation models (DEMs) using different state-of-t
Externí odkaz:
https://doaj.org/article/2e76cea3ec6248ee8f7310d920a61d21
Autor:
Marcel Urban, Kai Heckel, Christian Berger, Patrick Schratz, Izak P.J. Smit, Tercia Strydom, Jussi Baade, Christiane Schmullius
Publikováno v:
Koedoe: African Protected Area Conservation and Science, Vol 62, Iss 1, Pp e1-e6 (2020)
The savanna ecosystems in South Africa, which are predominantly characterised by woody vegetation (e.g. shrubs and trees) and grasslands with annual phenological cycles, are shaped by ecosystem processes such as droughts, fires and herbivory interact
Externí odkaz:
https://doaj.org/article/fc1796b35f4b43349f2da8806e35073b
Autor:
Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, José Cortés, Bernd Bischl, Alexander Brenning
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4832 (2021)
This study analyzed highly correlated, feature-rich datasets from hyperspectral remote sensing data using multiple statistical and machine-learning methods. The effect of filter-based feature selection methods on predictive performance was compared.
Externí odkaz:
https://doaj.org/article/50d9c3d870724ecab7501cd9a214b24b
Publikováno v:
Remote Sensing, Vol 12, Iss 2, p 302 (2020)
The fusion of microwave and optical data sets is expected to provide great potential for the derivation of forest cover around the globe. As Sentinel-1 and Sentinel-2 are now both operating in twin mode, they can provide an unprecedented data source
Externí odkaz:
https://doaj.org/article/f7c0b51c816e44288235fced32f2f7ba
Autor:
Brenning, Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, José Cortés, Bernd Bischl, Alexander
Publikováno v:
Remote Sensing; Volume 13; Issue 23; Pages: 4832
This study analyzed highly correlated, feature-rich datasets from hyperspectral remote sensing data using multiple statistical and machine-learning methods. The effect of filter-based feature selection methods on predictive performance was compared.
Autor:
José Cortés, Alexander Brenning, Eugenia Iturritxa, Patrick Schratz, Bernd Bischl, Jannes Muenchow
Publikováno v:
Remote Sensing, Vol 13, Iss 4832, p 4832 (2021)
This study analyzed highly-correlated, feature-rich datasets from hyperspectral remote sensing data using multiple machine and statistical-learning methods. The effect of filter-based feature-selection methods on predictive performance was compared.
Publikováno v:
Ecological Modelling. 406:109-120
While the application of machine-learning algorithms has been highly simplified in the last years due to their well-documented integration in commonly used statistical programming languages (such as R or Python), there are several practical challenge
Autor:
Jakob Richter, Giuseppe Casalicchio, Florian Pfisterer, Quay Au, Lars Kotthoff, Michel Lang, Martin Binder, Patrick Schratz, Stefan Coors, Bernd Bischl
Publikováno v:
Journal of Open Source Software. 4:1903
Autor:
Denise R. Smith, Ana Aragonés, Glen R. Stanosz, Tania Manzanos, Jannes Muenchow, Eugenia Iturritxa, Alexander Brenning, Patrick Schratz
Publikováno v:
Forest Pathology. 49:e12475
Publikováno v:
Scopus-Elsevier