Forest Biomass Estimation at High Spatial Resolution: Radar vs. Lidar sensors
نویسندگان
چکیده
This study evaluates the biomass retrieval error in pinedominated stands when using high spatial resolution airborne measurements from fully polarimetric L-band radar and airborne laser scanning sensors. Information on total aboveground biomass was estimated through allometric relationships from plot-level field measurements. Multiple linear regression models were developed to model relationships between biomass and radar/lidar data. Overall, lidar data provided lower estimation errors (17.2 t ha, 30% relative) when compared to radar data (30.3 t ha-1, 61% relative). However, for the 30-100 t ha-1 biomass range, the relative error from radar-based models was only 9% higher than that from lidar-based models. This suggests that high spatial resolution radar data could provide fundamentally similar results to lidar for some biomass intervals. This is an important finding for large scale biomass estimation that needs to rely upon satellite data, as there are no lidar satellites planned for the foreseeable future.
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