Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomass

dc.contributor.authorHuang, Wenli
dc.contributor.authorSun, Guoqing
dc.contributor.authorNi, Wenjian
dc.contributor.authorZhang, Zhiyu
dc.contributor.authorDubayah, Ralph
dc.date.accessioned2017-08-30T15:38:29Z
dc.date.available2017-08-30T15:38:29Z
dc.date.issued2015-07-28
dc.descriptionFunding for Open Access provided by the UMD Libraries Open Access Publishing Fund.en_US
dc.description.abstractAccurate estimates of forest aboveground biomass (AGB) after anthropogenic disturbance could reduce uncertainties in the carbon budget of terrestrial ecosystems and provide critical information to policy makers. Yet, the loss of carbon due to forest disturbance and the gain from post-disturbance recovery have not been sufficiently assessed. In this study, a sensitivity analysis was first conducted to investigate: (1) the influence of incidence angle and soil moisture on Synthetic Aperture Radar (SAR) backscatter; (2) the feasibility of cross-image normalization between multi-temporal and multi-sensor SAR data; and (3) the possibility of applying normalized backscatter data to detect forest biomass changes. An empirical model was used to reduce incidence angle effects, followed by cross-image normalization procedure to lessen soil moisture effect. Changes in forest biomass at medium spatial resolution (100 m) were mapped using both spaceborne and airborne SAR data. Results indicate that (1) the effect of incidence angle on SAR backscatter could be reduced to less than 1 dB by the correction model for airborne SAR data; (2) over 50% of the changes in SAR backscatter due to soil moisture could be eliminated by the cross-image normalization procedure; and (3) forest biomass changes greater than 100 Mg·ha−1 or above 50% of 150 Mg·ha−1 are detectable using cross-normalized SAR data.en_US
dc.identifierhttps://doi.org/10.13016/M20P0WR1N
dc.identifier.citationRemote Sens. 2015, 7, 9587-9609; doi:10.3390/rs70809587en_US
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/1903/19667
dc.language.isoen_USen_US
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en_US
dc.relation.isAvailableAtCollege of Behavioral & Social Sciencesen_us
dc.relation.isAvailableAtGeographyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectforest aboveground biomassen_US
dc.subjectSAR backscatteren_US
dc.subjectformalizationen_US
dc.subjectincidence angleen_US
dc.subjectPALSARen_US
dc.subjectUAVSARen_US
dc.subjectSIR-C/XSARen_US
dc.subjectAIRSARen_US
dc.titleSensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground Biomassen_US
dc.typeArticleen_US

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