Estimation of Tropical Forest Structural Characteristics Using ALOS-2 SAR Data
| Autor: | Hoan Thanh Nguyen, Ram C. Sharma, Tu Trong To, Ryutaro Tateishi, Luong Viet Nguyen, Son Mai Le |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Wet season
Forest inventory 010504 meteorology & atmospheric sciences 0211 other engineering and technologies food and beverages 02 engineering and technology Seasonality Tropical forest medicine.disease 01 natural sciences Highly sensitive Linear regression Dry season medicine General Earth and Planetary Sciences Environmental science Forest structure 021101 geological & geomatics engineering 0105 earth and related environmental sciences General Environmental Science Remote sensing |
| Zdroj: | Advances in Remote Sensing. :131-144 |
| ISSN: | 2169-2688 2169-267X |
| DOI: | 10.4236/ars.2016.52011 |
| Popis: | The potential of ALOS-2 SAR data for the estimation of tropical forest structural characteristics was assessed in Vietnam by collecting forest inventory data. The effect of polarization and seasonality of the SAR data on the estimation of forest biomass was analyzed. The combination of HH, HV, and HH/HV polarizations using multiple linear regression did not improve the estimation of biomass compared to using the HV channel independently, as the HH and HH/HV variables were not statistically significant. The dry season HV backscattering intensity was highly sensitive to the biomass compared to the rainy season backscattering intensity. The SAR data acquired in the rainy season with humid and wet canopies was not very sensitive to the biomass. The strong dependence of the biomass estimates with the season of SAR data acquisition confirmed that the choice of right season SAR data is very important for improving the satellite based estimates of the biomass. The validation results showed that the dry season HV polarization could explain 54% variation of the biomass. |
| Databáze: | OpenAIRE |
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