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dc.contributor.authorChaparro Danon, David
dc.contributor.authorDuveiller, Grégory
dc.contributor.authorPiles de la Fuente, María Pilar
dc.contributor.authorCescatti, Alessandro
dc.contributor.authorVall-Llossera Ferran, Mercedes Magdalena
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorEntekhabi, Dara
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2020-03-23T06:52:55Z
dc.date.available2021-10-01T00:33:50Z
dc.date.issued2019-10-01
dc.identifier.citationChaparro, D. [et al.]. Sensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices. "Remote sensing of environment", 1 Octubre 2019, vol. 232, p. 1-13.
dc.identifier.issn0034-4257
dc.identifier.urihttp://hdl.handle.net/2117/180795
dc.descriptionSupplementary data to this article can be found online at https://doi.org/10.1016/j.rse.2019.111303.
dc.description.abstractMonitoring vegetation carbon in tropical regions is essential to the global carbon assessment and to evaluate the actions oriented to the reduction of forest degradation. Mainly, satellite optical vegetation indices and LiDAR data have been used to this purpose. These two techniques are limited by cloud cover and are sensitive only to the top of vegetation. In addition, the vegetation attenuation to the soil microwave emission, represented by the vegetation optical depth (VOD), has been applied for biomass estimation using frequencies ranging from 4 to 30¿GHz (C- to K-bands). Atmosphere is transparent to microwaves and their sensitivity to canopy layers depends on the frequency, with lower frequencies having greater penetration depths. In this regard, L-band VOD (1.4¿GHz) is expected to enhance the ability to estimate carbon stocks. This study compares the sensitivity of different VOD products (from L, C, and X-bands) and an optical vegetation index (EVI) to the above-ground carbon density (ACD). It quantifies the contribution of ACD and forest cover proportion to the VOD/EVI signals. The study is conducted in Peru, southern Colombia and Panama, where ACD maps have been derived from airborne LiDAR. Results confirm the enhanced sensitivity of L-band VOD to ACD when compared to higher frequency bands, and show that the sensitivity of all VOD bands decreases in the densest forests. ACD explains 34% and forest cover 30% of L-band VOD variance, and these proportions gradually decrease for EVI, C-, and X-band VOD, respectively. Results are consistent through different categories of altitude and carbon density. This pattern is found in most of the studied regions and in flooded forests. Results also show that C-, X-band VOD and EVI provide complementary information to L-band VOD, especially in flooded forests and in mountains, indicating that synergistic approaches could lead to improved retrievals in these regions. Although the assessment of vegetation carbon in the densest forests requires further research, results from this study support the use of new L-band VOD estimates for mapping the carbon of tropical forests.
dc.format.extent13 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshMicrowave communication systems
dc.subject.lcshSoil moisture
dc.subject.otherVegetation optical depth
dc.subject.otherCarbon density
dc.subject.otherTropical forestsL-band
dc.subject.otherClimate change
dc.titleSensitivity of L-band vegetation optical depth to carbon stocks in tropical forests: a comparison to higher frequencies and optical indices
dc.typeArticle
dc.subject.lemacSistemes de comunicació de microones
dc.subject.lemacSistemes de gestió mediambiental
dc.subject.lemacSòls -- Humitat
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1016/j.rse.2019.111303
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0034425719303220
dc.rights.accessOpen Access
local.identifier.drac25840620
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/FEDER/ESP2017-89463-C3-2-R
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/FEDER/ESP2015-67549-C3-1-R
local.citation.authorChaparro, D.; Duveiller, G.; Piles, M. P.; Cescatti, A.; Vall-llossera, M.; Camps, A.; Entekhabi, D.
local.citation.publicationNameRemote sensing of environment
local.citation.volume232
local.citation.startingPage1
local.citation.endingPage13


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