A test of detecting spring leaf flush within the Alaskan boreal forest using ERS-2 and Radarsat SAR data
Abstract:This study tests whether ERS-2 and Radarsat Standard Beam SAR data could be used to detect spring green-up of broadleaf forests on floodplains in interior Alaska. SAR data were acquired for pre- and post-budburst dates during the spring of 1997, 1998 and 1999. The images were radiometrically calibrated to dB and then geometrically co-registered to a colour infrared Landsat TM image. Ten broadleaf and ten conifer floodplain forest polygons were then delineated from the Landsat TM image for the extent of each SAR image. The mean dB from each broadleaf and conifer stand was computed from each SAR image to test whether there was a consistent change in mean dB associated with spring leaf-out of broadleaf trees. There was no evidence that the 1997 or 1998 ERS-2 dB SAR data were useful for detecting spring leaf flush. The 1998 Radarsat broadleaf stands all increased in dB after budburst, but this was attributed to an increase in surface moisture from rain, rather than due to spring leaf flush. The 1999 Radarsat stands all decreased in SAR dB after budburst, while control conifer stands increased and decreased in dB during the same time period. Confounding factors such as changing surface moisture, and possibly freezing/ thawing effects may mask any change in ERS-2 or Radarsat SAR dB due to spring leaf flush.
Document Type: Research Article
Affiliations: Department of Forest Sciences, School of Agriculture and Land Resources Management, University of Alaska Fairbanks, Fairbanks, AK 99775-7200, USA
Publication date: 2001-04-20