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piSVM1.2.1 Analytics 10-Fold Cross-Validation Indian Pines Images Processed 3...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) 10-fold cross-validation runs for model... -
piSVM1.2.1 Analytics Training Indian Pines Images Processed 30 Features 52 Cl...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) classification runs to analyse remote sensing... -
piSVM1.2 Analytics JUDGE Cluster Rome Images 55 Features
piSVM version 1.2; configuration: -o 1024 -q 512 -c 10000 -g 16 -t 2 -m 1024 -s 0; 55 features; SDAP build on high-resolution (0.6m) panchromatic image and on pansharpened... -
piSVM1.2.1 Analytics Training (10x-CV optimized) Indian Pines Images Raw 200 ...
piSVM version 1.2.1 Deployment JUDGE cluster of the Juelich Supercomputing Centre in Germany Parallel Support Vector Machine (SVM) classification runs to analyse remote sensing... -
piSVM1.2.1 Analytics Training Indian Pines Images Raw 50 Classes
Parallel training of a SVM classification model achieving a speed-up using raw remote sensing data. HPC Resource used in analytics is JUDGE cluster of the JUELICH Supercomputing... -
Replication Data for: Land-use intensity impacts habitat selection of ground-...
This dataset contains all data and scripts required to replicate the results in the paper and consists of four zipped folders. Three of them correspond to the analyses involved... -
Field Observatory dynamic data storage
A dynamic data storage containing the data presented in the Field Observatory website (https://www.fieldobservatory.org). The data is described in the article Nevalainen et al.,... -
Methoden zur Bestimmung stadtklimatischer Parameter und deren Belastbarkeit
Die für die Bestimmung stadtklimatischer Parameter wie Wind, Temperatur, Feuchte, Niederschlag und Luftbelastung geeigneten Messmethoden (in-situ, mobil, fernerkundet) und... -
The PROFOUND database for evaluating vegetation models and simulating climate...
Version History: 29 April 2020: Release of Version 0.3This is an updated version of Reyer et al., (2019, V. 0.1.12, http://doi.org/10.5880/PIK.2019.008). All changes and updates... -
The PROFOUND database for evaluating vegetation models and simulating climate...
Current process-based vegetation models are complex scientific tools that require proper evaluation of the different processes included in the models to prove that the models... -
SEVA: Scalable explorative change detection for big Sentinel-2 data
SEVA is a scalable exploration tool that supports users to conduct change detection based on optical Sentinel-2 satellite observations. It supports the following... -
Supplement to: Monitoring snow depth by GNSS reflectometry in built-up areas:...
We provide data of a case study from the GNSS station Wettzell, Germany (WTZR). This data set contains snow depth derived from GNSS data using reflectometry. It covers a time... -
High-resolution photogrammetry data of the Santiaguito lava dome collected by...
Imaging growing lava domes has remained a great challenge in volcanology due to their inaccessibility and the severe hazard of collapse or explosion. Here, we present... -
GeoMultiSens: Scalable Multi-Sensor Analysis Platform for Remote Sensing Data
GeoMultiSens developed an integrated processing pipeline to support the analysis of homogenized data from various remote sensing archives. The processing pipeline has five main...
