- GRASS GIS and R as a tool for large-scale geomorphometric mapping (Jarek Jasiewicz)
- World-wide DEM (Jonathan de Ferrati)
- ESRI ArcPRO (...)
- Hands-on intro to LiDAR processing with LAS tools (Martin Isenburg)
- Hydrological modeling in GRASS GIS (Jarek Jasiewicz
- Automated DEM data analysis using R + SAGA + Google Earth (Tom Hengl)
- ESRI ArcPRO (...) to be added soon...
- Radar interferometry for ground motion analysis (Fabio Bovega, Janusz Wasowski)
This workshop provides an introduction to geomoprhometeric mapping using GRASS GIS and R software. The first part will cover modeling of basic and complex morphometric parameters using GRASS. In next step morphometric variables will be transferred to R and processed using: A) unsupervised learing with Self-organsing maps and B) supervised learing using support vector machines and RandomForest. Finally Decision trees will be used to determine relations between selected morphometic variables. GRASS visualisation tools will be used to produce final, publication-quality outputs maps. Back-ground knowledge: basic understanding of GIS operations The required software is GRASS 7.0 or 7.1 and R with following extensions: spgrass6, kohonen, RandomForest, caret, e1071, rpart
to be added soon...
to be added soon...
Dr. Isenburg will start with short and lively introduction talk on LiDAR processing with examples of different projects such as the Canary Islands (Spain) where the vegetation-penetrating lasers uncovered elevation differences of up to 25 meters between the official government maps and reality, flood mapping in the Philippines, archaeological finds in Polish forests, and mapping biomass in Thailand, or more recent relevant adventures. This is followed by a hands-on workshop during which attendees will perform the core steps of a LiDAR processing workflow on their own Windows laptops using the software and data provided. This workshop will touch upon parts of (1) LiDAR quality checking, (2) LiDAR preparation (tiling, classifying, cleaning), and (3) LiDAR derivative creation (DTM/DSM/contour/slope maps/CHM/...).
This workshop provides an introduction to 2D hydrological modelling in GRASS GIS. The first part will cover preparation of DEMs for hydrological analysis. Then, different methods to obtain surface flow accumulation, basin delineation, and stream network extraction will be presented. Since stream network extraction is an important step for subsequent analyses, different methods to fine-tune stream network extraction will be presented. The workshop will proceed with Hortonian analysis of the extracted stream networks (stream ordering, distance to stream, advanced basin delineation). Back-ground knowledge: basic understanding of GIS operations and goals of hydrological modeling. The required software is GRASS 7.0 or 7.1 with r.stream add on avialable.
Objective: To introduce the R + SAGA GIS software combination, specifically RSAGA package that can be used to execute SAGA GIS geoprocessing tools (over 450 functions for geodata analysis); to demonstrate how processing of large GIS data can be implemented by combining SAGA GIS processes (SAGA cmd) and R code.
General description: R + SAGA GIS are a powefull combo of software packages that allow geographical and statistical computing with large data (SAGA GIS is programmed in C++ and is optimized for processing GIS raster and vector data). The link between SAGA GIS and R is possible due to the RSAGA package. Participants will be introduced to both software environments and several practical tips will be provided: how to program processing DEM data using RSAGA package and how to exchange data from SAGA GIS to R. Required back-ground knowledge: Basic understanding of GIS operations and data types. Software / R packages required: SAGA GIS v2.1, GDAL; R packages: RSAGA, rgdal, plotKML
Background and Scope
Synthetic aperture radar (SAR) multi-temporal interferometry (MTI) is one of the most promising satellite-based remote sensing techniques for promoting new research opportunities on ground instability hazards caused by e.g., landsliding, subsidence, active faulting. MTI is attractive because it can provide millimetric precision measurements of slow ground surface displacements over large areas (>1000 km2) with limited vegetation cover. Although MTI is a mature technique, we are only beginning to realize the benefits of the high-resolution imagery that is currently acquired by the new generation radar satellites. The workshop is addressed to researchers without advanced knowledge in remote sensing processing and intends to foster the awareness of the utility, advantages (and limitations) of radar-based remote sensing, with emphasis on MTI applications.
Description: The workshop includes two sessions, one introducing the theoretical aspects of radar interferometry, the other describing the examples of applications to ground surface motion detection and monitoring.
Introduction to Synthetic Aperture RADAR (SAR) satellite system: Range and Azimuth resolution, scattering mechanisms (speckle noise, layover, foreshortening and shadow effects), acquisition modes, satellite missions and SAR data availability.
Theoretical basis of SAR Interferometry (InSAR): InSAR acquisition configurations, InSAR phase content (height, displacements) and noise (coherence and error sources), processing steps.
Multi-temporal Interferometry (MTI): coherent target detection, processing schemes (Persistent Scatterers, SBAS and similar), measurement precision and limitations (number of images, deformation model, aliasing, geometrical distortions), MTI performance of L/C/X band sensors.
2) Examples of MTI applications to ground motion studies in different environmental settings (high to low seismicity, dry to wet/tropical climate, limited to dense vegetation), with particular reference to subsidence, slope deformations and landslide detection and monitoring - Janusz Wasowski
Regional scale investigations of landslides and unstable slopes (high mountains in western China; low elevation Apennine Mts., moderate elevation mountains in Haiti)
Local scale investigations of landslides and unstable slopes (Italian and Swiss Alps; mountains in western China)
Wide-area investigation of coastal/low land subsidence (river delta, alluvial fan and reclaimed land areas, Haiti)
Local scale investigations of anthropogenic subsidence (settlements in Rome due to construction loading; post-mining subsidence in Poland)