Title :
Pasture Monitoring from Polarimetric TerraSAR-X Data
Author :
Pairman, David ; McNeill, Stephen ; Belliss, Stella ; Dalley, Dawan ; Dynes, Robyn
Author_Institution :
Landcare Res., Lincoln
Abstract :
Good pasture management and optimal feed use are key drivers of profitability for New Zealand´s pastoral dairy and meat industries. Preliminary results are reported on a study to evaluate TerraSAR-X dual-polarisation radar imagery for estimation of pasture biomass. At the time of writing, 4 out of 36 images have been acquired and processed. Several linear models have been tested for field-measured pasture biomass in terms of co- and cross-polarisation backscatter. The best model is a linear regression using the HH and HV sum and difference, resulting in a residual standard error of 191.4 (kg/ha), with no evidence of a date effect.
Keywords :
geophysics computing; image processing; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; New Zealand; TerraSAR-X dual-polarisation radar imagery; copolarisation backscatter; cross-polarisation backscatter; dairy industries; linear regression model; meat industries; pasture biomass estimation; Backscatter; Biomass; Feeds; Linear regression; Monitoring; Profitability; Radar imaging; Radar polarimetry; Testing; Writing; Pasture biomass; TerraSAR-X; radar;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779475