Remote Sensing | |
L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground Biomass at Multiple Spatial Scales across Denmark | |
Neha P. Joshi2  Edward T. A. Mitchard3  Johannes Schumacher2  Vivian K. Johannsen2  Sassan Saatchi1  Rasmus Fensholt2  Nicolas Baghdadi4  | |
[1] Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, |
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关键词: ALOS PALSAR; airborne LiDAR; canopy density; aboveground biomass; mapping scale; non-linear modeling; vegetation interception ratio; | |
DOI : 10.3390/rs70404442 | |
来源: mdpi | |
【 摘 要 】
Mapping forest aboveground biomass (AGB) using satellite data is an important task, particularly for reporting of carbon stocks and changes under climate change legislation. It is known that AGB can be mapped using synthetic aperture radar (SAR), but relationships between AGB and radar backscatter may be confounded by variations in biophysical forest structure (density, height or cover fraction) and differences in the resolution of satellite and ground data. Here, we attempt to quantify the effect of these factors by relating L-band ALOS PALSAR HV backscatter and unique country-wide LiDAR-derived maps of vegetation penetrability, height and AGB over Denmark at different spatial scales (50 m to 500 m). Trends in the relations indicate that, first, AGB retrieval accuracy from SAR improves most in mapping at 100-m scale instead of 50 m, and improvements are negligible beyond 250 m. Relative errors (bias and root mean squared error) decrease particularly for high AGB values (>110 Mg ha−1) at coarse scales, and hence, coarse-scale mapping (≥150 m) may be most suited for areas with high AGB. Second, SAR backscatter and a LiDAR-derived measure of fractional forest cover were found to have a strong linear relation (
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland
【 预 览 】
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RO202003190014347ZK.pdf | 8049KB | download |