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TitleALOS PALSAR L-band polarimetric SAR data and in-situ measurements for leaf area index assessment
AuthorCanisius, F; Fernandes, R
SourceCanadian Journal of Remote Sensing vol. 3, (2012), no. 3, 2011 p. 221-229, https://doi.org/10.1080/01431161.2011.559288
Year2011
Alt SeriesEarth Sciences Sector, Contribution Series 20110318
PublisherTaylor and Francis Group
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
ProvinceOntario
NTS31G/05
AreaNepean
Lat/Long WENS -76.0000 -75.5000 45.5000 45.2500
Subjectsremote sensing; satellite imagery; vegetation; radar imagery; radar methods; soil moisture; soils; infrared surveys
Illustrationssatellite images; location maps; bar graphs; graphs
ProgramAquifer Assessment & support to mapping, Groundwater Geoscience
AbstractLeaf Area Index (LAI), a key parameter controlling crop growth and yield models, has been widely estimated using optical satellite measurements. The estimation of LAI from high resolution optical satellite data is limited by cloudy conditions especially when systematic monitoring during the growing season is required. Synthetic Aperture Radar (SAR) data are less susceptible to atmospheric effects than optical data and L-Band SAR data has been related to standing biomass over a number of landscapes. Here we quantify the relationship between LAI and both ALOS PALSAR L-band data and ENVISAT ASAR data under relatively uniform soil moisture conditions. In-situ LAI values of large corn, soybean and pasture fields and forest plots were estimated using digital hemispherical photography, processed using the CANEYE software, between July 4th and 21st, 2006. PALSAR L band polarimetric radar backscatter of crop (corn and soybean) fields and forest plots were in good agreement with measured LAI values but the C-Band ASAR imagery showed weak relationships. The study shows that PALSAR L band polarimetric data has the potential to provide useful estimates of LAI, especially in the case of loss of optical data due to cloud. However, additional work is required to characterize the temporal variability of the relationship between PALSAR backscatter and LAI over varying soil moisture and soil surface conditions.
GEOSCAN ID289692