Title:
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SMAP multi-temporal vegetation optical depth retrieval as an indicator of crop yield trend and crop composition
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Author:
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Chaparro Danon, David; Vall-Llossera Ferran, Mercedes Magdalena; Camps Carmona, Adriano José; Piles de la Fuente, María Pilar; Konings, Alexandra G.; Entekhabi, Dara
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
Abstract:
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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. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció -Àrees temàtiques de la UPC::Enginyeria agroalimentària -Remote sensing -Enginyeria agronòmica -Vegetation optical depth -Yield -SMAP -Crops -Plant density -Teledetecció -Agricultural engineering |
Rights:
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Document type:
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Article - Published version Conference Object |
Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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