Paper
11 December 1998 Geometric and radiometric corrections of ERS SAR data for biomass estimation of meadows in rugged terrain
Gertrud Riegler, Roswitha Stolz, Wolfram Mauser
Author Affiliations +
Abstract
For estimating the biomass of meadows in the Ammer catchment (test site) a terrain corrected multitemporal ERS-1/-2 data set consisting of 30 descending and ascending scenes and their coherences from 1995 and 1996 is used. The radar backscatter coefficient received from grassland is influenced by canopy geometry, plant water and soil moisture content. The biomass is a measure for the plant water content and therefore has an influence on the dielectric constant. The geometrical factors in the canopy depend on the plant height, the vegetation density and species distribution. Moreover, the parameters growth height and biomass correlate strongly for the investigated meadows. To validate the investigations, a data base consisting of weekly measurements of plant height as well as wet and dry biomass on selected fields was built up. Statistical analysis is successfully applied to the backscatter values of the test meadows to relate the average backscatter value of each investigated meadow to the measured plant parameters. Furthermore, coherence data were used to investigate their potential to detect temporal biomass changes.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gertrud Riegler, Roswitha Stolz, and Wolfram Mauser "Geometric and radiometric corrections of ERS SAR data for biomass estimation of meadows in rugged terrain", Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); https://doi.org/10.1117/12.332754
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Backscatter

Biological research

Radar

Synthetic aperture radar

Vegetation

Sensors

Data acquisition

Back to Top