publication . Other literature type . Article . 2017

USING CALIBRATED RGB IMAGERY FROM LOW-COST UAVS FOR GRASSLAND MONITORING: CASE STUDY AT THE RENGEN GRASSLAND EXPERIMENT (RGE), GERMANY

U. Lussem; J. Hollberg; J. Hollberg; J. Menne; J. Schellberg; J. Schellberg; G. Bareth; G. Bareth;
  • Published: 23 Aug 2017
  • Publisher: Copernicus GmbH
Abstract
<jats:p>Monitoring the spectral response of intensively managed grassland throughout the growing season allows optimizing fertilizer inputs by monitoring plant growth. For example, site-specific fertilizer application as part of precision agriculture (PA) management requires information within short time. But, this requires field-based measurements with hyper- or multispectral sensors, which may not be feasible on a day to day farming practice. Exploiting the information of RGB images from consumer grade cameras mounted on unmanned aerial vehicles (UAV) can offer cost-efficient as well as near-real time analysis of grasslands with high temporal and spatial resol...
Subjects
free text keywords: Technology, T, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820, RGB color model, Normalized Difference Vegetation Index, Geography, Remote sensing, Multispectral image, Vegetation, Precision agriculture, Sampling (statistics), Image resolution, Hyperspectral imaging
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publication . Other literature type . Article . 2017

USING CALIBRATED RGB IMAGERY FROM LOW-COST UAVS FOR GRASSLAND MONITORING: CASE STUDY AT THE RENGEN GRASSLAND EXPERIMENT (RGE), GERMANY

U. Lussem; J. Hollberg; J. Hollberg; J. Menne; J. Schellberg; J. Schellberg; G. Bareth; G. Bareth;