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dc.contributor.authorChaparro Danon, David
dc.contributor.authorVall-Llossera Ferran, Mercedes Magdalena
dc.contributor.authorCamps Carmona, Adriano José
dc.contributor.authorPiles de la Fuente, María Pilar
dc.contributor.authorKonings, Alexandra G.
dc.contributor.authorEntekhabi, Dara
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2019-02-06T19:35:07Z
dc.date.issued2017
dc.identifier.citationChaparro, D. [et al.]. SMAP multi-temporal vegetation optical depth retrieval as an indicator of crop yield trend and crop composition. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2017: International Geoscience and Remote Sensing Symposium: Texas, Estats Units: July 23-28, 2017: proceedings book". Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 4362-4365.
dc.identifier.isbn978-1-5090-4951-6
dc.identifier.urihttp://hdl.handle.net/2117/128604
dc.description.abstractVegetation Optical Depth (VOD) is related to Vegetation Water Content (VWC). This provides new and highly valuable information for ecological and agricultural studies. In this work, VOD from the Soil Moisture Active-Passive (SMAP) satellite has been retrieved with the new Multi-Temporal Dual-Channel Algorithm (MT-DCA). Then, it has been applied to the study of crop yield trends and crop composition. The increase on VOD (¿VOD) during crop development has been compared to yield data in two selected regions located in the United States. The first region presents a heterogeneous crop composition and weak ¿VOD-yield relationship (r2=0.21). The second region presents a highly homogenous cover and a strong exponential relationship (r2=0.65) between ¿VOD and yield. A saturation of yield is observed at a certain ¿VOD value. This pattern is probably due to an increasing plant density, which limits the crop yield due to plant physiological stress.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària
dc.subject.lcshRemote sensing
dc.subject.lcshEnginyeria agronòmica
dc.subject.otherVegetation optical depth
dc.subject.otherYield
dc.subject.otherSMAP
dc.subject.otherCrops
dc.subject.otherPlant density
dc.titleSMAP multi-temporal vegetation optical depth retrieval as an indicator of crop yield trend and crop composition
dc.typeConference report
dc.subject.lemacTeledetecció
dc.subject.lemacAgricultural engineering
dc.contributor.groupUniversitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/IGARSS.2017.8127967
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8127967
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac23660590
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/ESP2015-67549-C3-1-R
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/647423/EU/Statistical Learning for Earth Observation Data Analysis./SEDAL
dc.date.lift10000-01-01
local.citation.authorChaparro, D.; Vall-llossera, M.; Camps, A.; Piles, M. P.; Konings, A.; Entekhabi, D.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.publicationNameIGARSS 2017: International Geoscience and Remote Sensing Symposium: Texas, Estats Units: July 23-28, 2017: proceedings book
local.citation.startingPage4362
local.citation.endingPage4365


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