L-Band vegetation optical depth for crop phenology monitoring and crop yield assessment

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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	Piles Guillem, Maria
dc.contributor.author	Vall-Llossera Ferran, Mercedes Magdalena
dc.contributor.author	Camps Carmona, Adriano José
dc.contributor.author	Konings, Alexandra G.
dc.contributor.author	Entekhabi, Dara
dc.contributor.author	Jagdhuber, Thomas
dc.date	2018
dc.identifier.citation	Chaparro, D. [et al.]. L-Band vegetation optical depth for crop phenology monitoring and crop yield assessment. A: IEEE International Geoscience and Remote Sensing Symposium. "2018 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 22–27, 2018 Valencia, Spain". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 8225-8227.
dc.identifier.citation	978-1-5386-7150
dc.identifier.citation	10.1109/IGARSS.2018.8518545
dc.identifier.uri	http://hdl.handle.net/2117/128906
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	https://ieeexplore.ieee.org/document/8518545
dc.relation	info:eu-repo/grantAgreement/ES/1PE/ESP2015-67549-C3-1-R
dc.relation	info:eu-repo/grantAgreement/AEI/2PE/ESP2017-89463-C3-2-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	Yield forecasts
dc.subject	Crop phenology
dc.subject	VOD
dc.subject	SMAP
dc.subject	Agro-ecosystems
dc.subject	Teledetecció
dc.subject	Agricultural engineering
dc.title	L-Band vegetation optical depth for crop phenology monitoring and crop yield assessment
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Vegetation Optical Depth (VOD) at L-band is highly sensitive to the water content and above-ground biomass of vegetation. Hence, it has great potential for monitoring crop phenology and for providing crop yield forecasts. Recently, the Multi-Temporal Dual Channel Algorithm (MT -DCA) has been proposed to retrieve L-band VOD from Soil Moisture Active Passive (SMAP) measurements. In previous research, SMAP VOD has been compared to crop phenology and has been used to derive crop yield estimates. Here, we review and expand these initial research studies. In particular, we quantify the capability of VOD to detect different crop stages, and test different VOD metrics (i.e., maximum, range and integrals of VOD) to provide crop yield estimates in the United States Corn Belt. Results show that VOD captures 50% to 70% of crop changes during growing and maturing phases, and that it explains between 44% (in heterogeneous crop regions) and 74% (in homogenous croplands) of final crop yields.
dc.description.abstract	Peer Reviewed

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