Talks and Poster Presentations (with Proceedings-Entry):
A. Dostálová, M. Hollaus, M. Milenkovic, W. Wagner:
"Forest area derivation from Sentinel-1 data";
Talk: XXIII ISPRS Congress,
- 2016-07-19; in: "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences,
Forest area was derived over a study area in eastern Austria using 2014/2015 winter season Sentinel-1A acquisitions. The resulting 10m resolution mask was validated using the reference forest mask derived from the airbourne full-waveform laser scanning data. Despite the temporal gap of almost 5 years between the ALS and Sentinel-1 data acquisitions, the overall accuracy exceeded 90% with kappa statistics of 0.81. The forest mask from Sentinel-1 data has high potential for forest change detection mapping.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.