Comparison of {Aboveground} {Biomass} {Estimation} {From} {InSAR} and {LiDAR} {Canopy} {Height} {Models} in {Tropical} {Forests}

The potential of interferometric synthetic aperture radar (InSAR) heights from TanDEM-X for vegetation canopy height and aboveground biomass (AGB) estimation has long been recognized. Penetration of X-band into the canopy affects these estimations. Thus, the canopy height and AGB retrieval from InSAR are typically biased and cannot be compared directly to estimates from other data sources. The objective of this letter was to apply a penetration depth model to compensate for height biases in TanDEM-X InSAR heights. The resulting canopy height estimates are subsequently converted to AGB estimates using regression models. The uncorrected InSAR heights of the forest canopy are biased due to the penetration of the signal into the canopy and differ substantially to light detection and ranging (LiDAR) canopy height estimates. The application of the penetration depth compensation results in unbiased forest canopy height estimates and AGB regression models that are comparable between InSAR and LiDAR. These results indicate that TanDEM-X InSAR and LiDAR technologies can be used to estimate AGB in complex tropical forests suggesting a synergistic use of these fundamentally different observation concepts.

Références

Title
Comparison of {Aboveground} {Biomass} {Estimation} {From} {InSAR} and {LiDAR} {Canopy} {Height} {Models} in {Tropical} {Forests}
Publication Type
Journal Article
Year of Publication
2020
Journal
IEEE Geoscience and Remote Sensing Letters
Volume
17
Pagination
367–371
Date Published
mar
ISSN
1558-0571
Keywords
FORET Paracou
Submitted on 21 October 2021