JOURNAL ARTICLE

Reviewing ALOS PALSAR Backscatter Observations for Stem Volume Retrieval in Swedish Forest

Maurizio SantoroLeif E. B. ErikssonJohan E. S. Fransson

Year: 2015 Journal:   Remote Sensing Vol: 7 (4)Pages: 4290-4317   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Between 2006 and 2011, the Advanced Land Observing Satellite (ALOS) Phased Array L-type Synthetic Aperture Radar (PALSAR) instrument acquired multi-temporal datasets under several environmental conditions and multiple configurations of look angle and polarization. The extensive archive of SAR backscatter observations over the forest test sites of Krycklan (boreal) and Remningstorp (hemi-boreal), Sweden, was used to assess the retrieval of stem volume at stand level. The retrieval was based on the inversion of a simple Water Cloud Model with gaps; single estimates of stem volume are then combined to obtain the final multi-temporal estimate. The model matched the relationship between the SAR backscatter and the stem volume under all configurations. The retrieval relative Root Mean Square Error (RMSE) differed depending upon environmental conditions, polarization and look angle. Stem volume was best retrieved in Krycklan using only HV-polarized data acquired under unfrozen conditions with a look angle of 34.3° (relative RMSE: 44.0%). In Remningstorp, the smallest error was obtained using only HH-polarized data acquired under predominantly frozen conditions with a look angle of 34.3° (relative RMSE: 35.1%). The relative RMSE was below 30% for stands >20 ha, suggesting high accuracy of ALOS PALSAR estimates of stem volumes aggregated at moderate resolution.

Keywords:
Remote sensing Mean squared error Synthetic aperture radar Environmental science Backscatter (email) Volume (thermodynamics) High resolution Taiga Polarization (electrochemistry) Satellite Phased array Geology Mathematics Geography Physics Computer science Statistics Forestry

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Citation History

Topics

Synthetic Aperture Radar (SAR) Applications and Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
Landslides and related hazards
Physical Sciences →  Environmental Science →  Management, Monitoring, Policy and Law
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
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