SMAP multi-temporal vegetation optical depth retrieval as an indicator of crop yield trend and crop composition

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dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai
dc.contributor	Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.author	Chaparro Danon, David
dc.contributor.author	Vall-Llossera Ferran, Mercedes Magdalena
dc.contributor.author	Camps Carmona, Adriano José
dc.contributor.author	Piles de la Fuente, María Pilar
dc.contributor.author	Konings, Alexandra G.
dc.contributor.author	Entekhabi, Dara
dc.date	2017
dc.identifier.citation	Chaparro, 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.citation	978-1-5090-4951-6
dc.identifier.citation	10.1109/IGARSS.2017.8127967
dc.identifier.uri	http://hdl.handle.net/2117/128604
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	https://ieeexplore.ieee.org/document/8127967
dc.relation	info:eu-repo/grantAgreement/ES/1PE/ESP2015-67549-C3-1-R
dc.relation	info:eu-repo/grantAgreement/ES/1PE/MDM-2016-0600
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject	Àrees temàtiques de la UPC::Enginyeria agroalimentària
dc.subject	Remote sensing
dc.subject	Enginyeria agronòmica
dc.subject	Vegetation optical depth
dc.subject	Yield
dc.subject	SMAP
dc.subject	Crops
dc.subject	Plant density
dc.subject	Teledetecció
dc.subject	Agricultural engineering
dc.title	SMAP multi-temporal vegetation optical depth retrieval as an indicator of crop yield trend and crop composition
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Vegetation 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.description.abstract	Peer Reviewed

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