TY - GEN
T1 - Forest monitoring with JERS-1/SAR and ALOS/PALSAR
AU - Watanabe, Manabu
AU - Shimada, Masanobu
AU - Ouchi, Kazuo
AU - Haipeng, Wang
AU - Matsuoka, Masayuki
AU - Sato, Motoyuki
PY - 2007
Y1 - 2007
N2 - JERS-1/SAR images taken in 1990's and ALOS/PALSAR images taken in 2000's are used and examined the deforestation status during ∼14 years. Many trees had been fallen by a typhoon hit in 2004 in a test site, Tomakomai. There is also a plantation area and the site show active change during the term. The forest stands could be roughly classified for four types, forest stands, vacant, where almost all trees were carried out, and two types of transitional stands from a forest to a vacant. Many deforested areas are easily detected by using the difference of backscattering coefficients between two images, if fallen trees have been carried out from the stands. The change from the normal forest to the vacant stands causes 3.1dB decrease in the σHH 0- On the other hands, transitional stands show almost same backscattering as the normal forest stands, although. Three-component scattering model shows surface scattering component accounts for 50% over the vacant stands, while volume scattering component accounts for ∼60% over the forest stands. But the model doesn't show the clear difference between transitional forest site and normal forest. The temporal changes of the forest during 14 years are also examined for the plantation area. One stand show gradual increase of σ0 and the values seem to be saturated around 17.4 tons/ha (∼5m in average height).
AB - JERS-1/SAR images taken in 1990's and ALOS/PALSAR images taken in 2000's are used and examined the deforestation status during ∼14 years. Many trees had been fallen by a typhoon hit in 2004 in a test site, Tomakomai. There is also a plantation area and the site show active change during the term. The forest stands could be roughly classified for four types, forest stands, vacant, where almost all trees were carried out, and two types of transitional stands from a forest to a vacant. Many deforested areas are easily detected by using the difference of backscattering coefficients between two images, if fallen trees have been carried out from the stands. The change from the normal forest to the vacant stands causes 3.1dB decrease in the σHH 0- On the other hands, transitional stands show almost same backscattering as the normal forest stands, although. Three-component scattering model shows surface scattering component accounts for 50% over the vacant stands, while volume scattering component accounts for ∼60% over the forest stands. But the model doesn't show the clear difference between transitional forest site and normal forest. The temporal changes of the forest during 14 years are also examined for the plantation area. One stand show gradual increase of σ0 and the values seem to be saturated around 17.4 tons/ha (∼5m in average height).
KW - Forest monitoring
KW - L-band SAR
KW - Polarimetry
UR - http://www.scopus.com/inward/record.url?scp=82355161176&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=82355161176&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2007.4423307
DO - 10.1109/IGARSS.2007.4423307
M3 - Conference contribution
AN - SCOPUS:82355161176
SN - 1424412129
SN - 9781424412129
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2326
EP - 2329
BT - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
T2 - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Y2 - 23 June 2007 through 28 June 2007
ER -