JERS-1 SAR data in forest biomass mapping in Northern taiga zone

Forest biomass mapping was studied in a site in northern Finland (latitude 66deg). Two JERS SAR scenes that were acquired in a dry period were used. Locally derived linear regression models between forest stem volume and L-band SAR amplitude produced correlation coefficients of 0.7. An earlier regre...

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Bibliographic Details
Published in:2007 IEEE International Geoscience and Remote Sensing Symposium
Main Authors: Rauste, Yrjö, Ahola, Heikki, Manninen, Terhikki, Smolander, Heikki, Voipio, Pekka
Format: Other Non-Article Part of Journal/Newspaper
Language:English
Published: IEEE Institute of Electrical and Electronic Engineers 2007
Subjects:
SAR
remote sensing
biomass
satellite images
satellite surveillance
Northern Finland
taiga
Online Access:https://cris.vtt.fi/en/publications/4e8b6d25-aaab-49e1-818f-9ff982e77314
https://doi.org/10.1109/IGARSS.2007.4423310
Description
Summary:Forest biomass mapping was studied in a site in northern Finland (latitude 66deg). Two JERS SAR scenes that were acquired in a dry period were used. Locally derived linear regression models between forest stem volume and L-band SAR amplitude produced correlation coefficients of 0.7. An earlier regression model, which had been derived in a site in southern Finland, produced under-estimates of approximately 50 m 3 /ha in a study site where stem volume varied between 0 and 220 m 3 /ha.

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