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Forest disaster monitoring requires frequent data observation of remotely sensed data. It is getting more common to use open satellite image archives to monitor land use change from multi-temporal data. In this study, multi-temporal DSM created by UAV-SfM is used to identify forest gap. ALOS 2 full polarization data is compared with the finer scale height difference detected by multi-temporal UAV...
PALSAR full polarimetry data were used to detect thaw/freeze conditions on the ground to try to determine the cause of a spring flood on a northern river in Russia. Full polarimetric data was used to identify the forest area, and the radar backscattering coefficient, a0HV, was examined. The a0HV over a frozen forest area was −19.9 dB, while that of a thawing forest area was −11.9 dB, and freeze/thaw...
The spatiotemporal distribution of subsidence at Palangkaraya, Central Kalimantan, Indonesia, was studied by a time-series analysis of PALSAR data obtained over 26 passes of ALOS over the study area. This area consists mainly of peatland and tends to subside because of climate change, i.e., global warming. Applying a moving weighted window to the stacking of a DinSAR dataset, each of which was calibrated...
We propose an algorithm to estimate surface roughness and moisture level of active layer of permafrost over permafrost area. This algorithm is based on the Oh's semi-empirical model, and PALSAR data observed both in winter and summer seasons with vh polarization. PALSAR vh polarization data observed in winter is used to estimate surface roughness of permafrost. Then, the estimated surface roughness...
We propose an algorithm to estimate moisture level of active layer of permafrost over permafrost area. This algorithm is based on Oh's semi-empirical model, and PALSAR data observed both in winter and summer seasons with vh polarization. PALSAR vh polarization data observed in winter is used to estimate surface roughness of permafrost. Then, the estimated surface roughness and PALSAR vh polarization...
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