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Correlations between L-band SAR polarimetric parameters obtained with airborne SAR (Pi-SAR-L2) and metrics obtained with airborne LiDAR were examined to identify the relationship between the full polarimetric parameters and forest parameters obtained for a natural forest in Indonesia. Values of a0HV and a0VV show good correlations with canopy height and 90th percentile metrics of LiDAR, with R2 values...
Retrieving aboveground forest carbon stocks (AFCS) accurately in tropical region remains challenging due to forest structure complexity and species diversity. In order to improve AFCS estimates, the present study evaluates the potential of high-resolution ALOS/PALSAR mosaics data in the tropical forests in central Sumatra. The study region with AFCS range of 1 to 334 Mg ha−1 consists of natural and...
Various remote sensing technologies are utilized to monitor tropical forest for REDD project. In developing countries, the accuracy of field measurement does not satisfy the quality required for the validation of satellite remotely sensed data. Therefore, we introduce the most portable laser sensor, SICK LMS511, to measure trees in the field of tropical forest and the semi-automatic process to derive...
High resolution active remote sensing data are getting more accessible. ALOS PALSAR radar data can provide 10 to 30 m resolution data. With those resolutions, land use changes can be detected and monitored well. The land use map of multi-temporal data is made by radar images, but seasonal change caused by deciduousness should be separately identified from the human activities. In this study, airborne...
ALOS PALSAR uses L band which is related with volume scattering. The volume scattering is the reflection comes from the surface and the inside of canopy. Forest management activities can be monitored using PALSAR L-band for Reducing Emissions from Deforestation and Forest Degradation (REDD). But it is still unknown how the biomass changed by the thinning (forest management) influences the backscattering...
PALSAR data acquired with 34.3° and 23.1° are used to derive regression models between σ0 and above ground biomass. Field data were taken in Tomakomai national forest located in northern Japan. Dynamic range of 4dB are observed for 34.3°, and this is larger than that of 3dB for 23.1°. The correlation coefficient for 23.1° is higher than that for 34.3° in both HH and HV polarization, which may be explained...
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