Published: Mar 12, 2018 by C.H. Grohmann
Github repository containing scripts and associated supplemental material (csv files, etc) for the paper:
Grohmann, C.H. 2018. Evaluation of TanDEM-X DEMs on selected Brazilian sites: comparison with SRTM, ASTER GDEM and ALOS AW3D30
Remote Sensing of Environment, 212C:121-133.
View article at publisher (paywalled): https://doi.org/10.1016/j.rse.2018.04.043
Open Access preprint (same content as article, different formatting): https://arxiv.org/abs/1709.05016
Link to GitHub repository: https://github.com/CarlosGrohmann/scripts_papers/tree/master/tdx_brazil
In the paper, a first assessment of the TanDEM-X DEMs over Brazilian territory is presented through a comparison with SRTM, ASTER GDEM and ALOS AW3D30 DEMs in seven study areas with distinct geomorphological contexts, vegetation coverage, and land use.
The analyzes were made using GRASS-GIS trough python scripts. Although the DEMs cannot be shared in GitHub (due to both space limitations and licensing of TanDEM-X), the scripts can be used as an educational resource.
Difference between TDX and SRTM for a mining area in southeastern Brazil
TanDEM-X data was provided by the German Aerospace Centre (DLR) through an Announcement of Opportunity & Proposal Call (proposal DEM_GEOL0538).
This study was supported by Brazil’s National Council of Scientific and Technological Development, CNPq grant 307647/2015-3, the Sao Paulo Research Foundation (FAPESP) grant #2016/06628-0, and is co-funded by FAPESP (BIOTA #2012/50260-6, #2013/50297-0),NSF (DEB 1343578), and NASA.