Trial of Deforestation Detection by Using 25M Resolution PALSAR-2/ScanSAR Data

JJ-FAST is the SAR-satellite based early deforestation monitoring system, and deforestation information obtained by using PALSAR-2/ScanSAR data are released on the JJ-FAST web site, 3 to 4 days after the observation. ScanSAR/50m spatial resolution data is currently used for the deforestation detecti...

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Bibliographic Details
Main Authors: Watanabe, Manabu, Koyama, Christian, Hayashi, Masato, Nagatani, Izumi, Tadono, Takeo, Shimada, Masanobu
Format: Conference Proceeding
Language:English
Subjects:
Detection algorithms
Forest monitoring
Forestry
L-and SAR
Monitoring
polarization
Remote sensing
Spatial resolution
Speckle
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Summary:JJ-FAST is the SAR-satellite based early deforestation monitoring system, and deforestation information obtained by using PALSAR-2/ScanSAR data are released on the JJ-FAST web site, 3 to 4 days after the observation. ScanSAR/50m spatial resolution data is currently used for the deforestation detection, and the minimum detection size is 3ha. In this paper, ScanSAR/25m spatial resolution data is used for the deforestation detection, and the detection accuracies are compared with the one obtained with the 50m spatial resolution data for four test sites. The minimum deforestation detection size is set to be 1ha in this time. The results show that the 25m spatial resolution data always shows higher detection accuracies. The results obtained in Cambodia test site show that user's accuracies are 21.4 % higher than the case of 50m resolution, and number of correctly detected polygon is 2.3 times more than the one for the 50m resolution case. It is indicated that the 25m spatial resolution ScanSAR data improves the detection accuracies with minimum detection size of 1 ha.
ISSN:2153-7003
DOI:10.1109/IGARSS39084.2020.9324326