Search results for "Enginyeria agronòmica"

showing 2 items of 2 documents

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

2018

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 inte…

Crop phenologyL bandCrop phenologyYield forecastsTeledetecció010504 meteorology & atmospheric sciencesAgricultural engineering0211 other engineering and technologiesSoil science02 engineering and technology:Enginyeria agroalimentària [Àrees temàtiques de la UPC]01 natural sciencesphenologyCropEnginyeria agronòmicacropWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesBiomass (ecology)business.industryCrop yieldVODVegetationSMAPRemote sensingyieldAgro-ecosystemsL-band:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]AgricultureEnvironmental scienceVegetation optical DepthRadiometerbusiness
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SMAP Multi-Temporal vegetation optical depth retrieval as an indicator of crop yield trends and crop composition

2017

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…

YieldTeledetecció010504 meteorology & atmospheric sciencesAgricultural engineering0211 other engineering and technologiesCropsSoil science:Enginyeria agroalimentària [Àrees temàtiques de la UPC]02 engineering and technology01 natural sciencesCropYield (wine)Enginyeria agronòmicaVegetation optical depthWater content021101 geological & geomatics engineering0105 earth and related environmental sciences2. Zero hungerbusiness.industrySaturation (genetic)Crop yieldPlant densitySMAPRemote sensing15. Life on land:Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció [Àrees temàtiques de la UPC]AgricultureEnvironmental scienceSatelliteComposition (visual arts)business2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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