SMAP Multi-Temporal vegetation optical depth retrieval as an indicator of crop yield trends and crop composition

6533b855fe1ef96bd12b0a93

RESEARCH PRODUCT

SMAP Multi-Temporal vegetation optical depth retrieval as an indicator of crop yield trends and crop composition

Dara Entekhabi David Chaparro Alexandra G. Konings Mercè Vall-llossera Adriano Camps Maria Piles

subject

Yield Teledetecció 010504 meteorology & atmospheric sciences Agricultural engineering 0211 other engineering and technologies Crops Soil science :Enginyeria agroalimentària [Àrees temàtiques de la UPC]02 engineering and technology 01 natural sciences Crop Yield (wine)Enginyeria agronòmica Vegetation optical depth Water content 021101 geological & geomatics engineering 0105 earth and related environmental sciences 2. Zero hunger business.industry Saturation (genetic)Crop yield Plant density SMAP Remote sensing 15. Life on land :Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]Agriculture Environmental science Satellite Composition (visual arts)business

description

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. Peer Reviewed

year	journal	country	edition	language
2017-07-01	2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

https://doi.org/10.1109/igarss.2017.8127967

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